id	sid	tid	token	lemma	pos
cana-6093	1	1	communications	communication	NOUN
cana-6093	1	2	on	on	ADP
cana-6093	1	3	applied	apply	VERB
cana-6093	1	4	nonlinear	nonlinear	ADJ
cana-6093	1	5	analysis	analysis	NOUN
cana-6093	1	6	issn	issn	NOUN
cana-6093	1	7	:	:	PUNCT
cana-6093	1	8	1074	1074	NUM
cana-6093	1	9	-	-	PUNCT
cana-6093	1	10	133x	133x	NUM
cana-6093	1	11	vol	vol	NOUN
cana-6093	1	12	31	31	NUM
cana-6093	1	13	no	no	NOUN
cana-6093	1	14	.	.	NOUN
cana-6093	1	15	1	1	NUM
cana-6093	1	16	(	(	PUNCT
cana-6093	1	17	2024	2024	NUM
cana-6093	1	18	)	)	PUNCT
cana-6093	1	19	365	365	NUM
cana-6093	1	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-6093	1	21	accelerating	accelerate	VERB
cana-6093	1	22	inverse	inverse	ADJ
cana-6093	1	23	problem	problem	NOUN
cana-6093	1	24	solutions	solution	NOUN
cana-6093	1	25	with	with	ADP
cana-6093	1	26	generative	generative	ADJ
cana-6093	1	27	adversarial	adversarial	ADJ
cana-6093	1	28	networks	network	NOUN
cana-6093	1	29	machhindranath	machhindranath	PROPN
cana-6093	1	30	m.	m.	PROPN
cana-6093	1	31	dhane1	dhane1	PROPN
cana-6093	1	32	*	*	PROPN
cana-6093	1	33	,	,	PUNCT
cana-6093	1	34	shobhankumar	shobhankumar	VERB
cana-6093	1	35	d.m2	d.m2	NOUN
cana-6093	1	36	,	,	PUNCT
cana-6093	1	37	lakshmi	lakshmi	PROPN
cana-6093	1	38	janardhana	janardhana	PROPN
cana-6093	1	39	r.c3	r.c3	PROPN
cana-6093	1	40	,	,	PUNCT
cana-6093	1	41	ramesh	ramesh	PROPN
cana-6093	1	42	t4	t4	PROPN
cana-6093	1	43	1*associate	1*associate	PROPN
cana-6093	1	44	professor	professor	NOUN
cana-6093	1	45	,	,	PUNCT
cana-6093	1	46	department	department	NOUN
cana-6093	1	47	of	of	ADP
cana-6093	1	48	mathematics	mathematics	PROPN
cana-6093	1	49	,	,	PUNCT
cana-6093	1	50	gfgc	gfgc	PROPN
cana-6093	1	51	,	,	PUNCT
cana-6093	1	52	yelahanka	yelahanka	PROPN
cana-6093	1	53	,	,	PUNCT
cana-6093	1	54	bengaluru	bengaluru	PROPN
cana-6093	1	55	,	,	PUNCT
cana-6093	1	56	karnataka	karnataka	PROPN
cana-6093	1	57	,	,	PUNCT
cana-6093	1	58	india	india	PROPN
cana-6093	1	59	;	;	PUNCT
cana-6093	1	60	email	email	NOUN
cana-6093	1	61	:	:	PUNCT
cana-6093	1	62	drdhani.99dce@gmail.com	drdhani.99dce@gmail.com	X
cana-6093	2	1	2associate	2associate	NUM
cana-6093	2	2	professor	professor	NOUN
cana-6093	2	3	,	,	PUNCT
cana-6093	2	4	department	department	NOUN
cana-6093	2	5	of	of	ADP
cana-6093	2	6	mathematics	mathematics	PROPN
cana-6093	2	7	,	,	PUNCT
cana-6093	2	8	maharani	maharani	PROPN
cana-6093	2	9	’s	’s	PROPN
cana-6093	2	10	science	science	PROPN
cana-6093	2	11	college	college	PROPN
cana-6093	2	12	for	for	ADP
cana-6093	2	13	women	woman	NOUN
cana-6093	2	14	,	,	PUNCT
cana-6093	2	15	palace	palace	NOUN
cana-6093	2	16	road	road	NOUN
cana-6093	2	17	,	,	PUNCT
cana-6093	2	18	bengaluru	bengaluru	PROPN
cana-6093	2	19	,	,	PUNCT
cana-6093	2	20	karnataka	karnataka	PROPN
cana-6093	2	21	,	,	PUNCT
cana-6093	2	22	india	india	PROPN
cana-6093	2	23	;	;	PUNCT
cana-6093	2	24	email	email	NOUN
cana-6093	2	25	:	:	PUNCT
cana-6093	2	26	shobhankumardm@gmail.com	shobhankumardm@gmail.com	X
cana-6093	2	27	3	3	NUM
cana-6093	2	28	associate	associate	NOUN
cana-6093	2	29	professor	professor	NOUN
cana-6093	2	30	,	,	PUNCT
cana-6093	2	31	department	department	NOUN
cana-6093	2	32	of	of	ADP
cana-6093	2	33	mathematics	mathematics	PROPN
cana-6093	2	34	,	,	PUNCT
cana-6093	2	35	gfgc	gfgc	NOUN
cana-6093	2	36	,	,	PUNCT
cana-6093	2	37	vijayanagar	vijayanagar	NOUN
cana-6093	2	38	,	,	PUNCT
cana-6093	2	39	bengaluru	bengaluru	PROPN
cana-6093	2	40	,	,	PUNCT
cana-6093	2	41	karnataka	karnataka	PROPN
cana-6093	2	42	,	,	PUNCT
cana-6093	2	43	india	india	PROPN
cana-6093	2	44	;	;	PUNCT
cana-6093	2	45	email	email	NOUN
cana-6093	2	46	:	:	PUNCT
cana-6093	2	47	ljrcmaths@gmail.com	ljrcmaths@gmail.com	X
cana-6093	3	1	4associate	4associate	NUM
cana-6093	3	2	professor	professor	NOUN
cana-6093	3	3	,	,	PUNCT
cana-6093	3	4	department	department	NOUN
cana-6093	3	5	of	of	ADP
cana-6093	3	6	mathematics	mathematics	PROPN
cana-6093	3	7	,	,	PUNCT
cana-6093	3	8	cambridge	cambridge	PROPN
cana-6093	3	9	institute	institute	PROPN
cana-6093	3	10	of	of	ADP
cana-6093	3	11	technology	technology	PROPN
cana-6093	3	12	,	,	PUNCT
cana-6093	3	13	k	k	PROPN
cana-6093	3	14	r	r	PROPN
cana-6093	3	15	puram	puram	PROPN
cana-6093	3	16	,	,	PUNCT
cana-6093	3	17	bengaluru	bengaluru	PROPN
cana-6093	3	18	,	,	PUNCT
cana-6093	3	19	karnataka	karnataka	PROPN
cana-6093	3	20	,	,	PUNCT
cana-6093	3	21	india	india	PROPN
cana-6093	3	22	;	;	PUNCT
cana-6093	3	23	email	email	NOUN
cana-6093	3	24	:	:	PUNCT
cana-6093	4	1	rameshgollahally@gmail.com	rameshgollahally@gmail.com	X
cana-6093	4	2	*	*	PUNCT
cana-6093	4	3	corresponding	correspond	VERB
cana-6093	4	4	author	author	NOUN
cana-6093	4	5	:	:	PUNCT
cana-6093	4	6	drdhani.99dce@gmail.com	drdhani.99dce@gmail.com	X
cana-6093	4	7	email	email	NOUN
cana-6093	4	8	of	of	ADP
cana-6093	4	9	co-author:shobhankumardm@gmail.com	co-author:shobhankumardm@gmail.com	NOUN
cana-6093	4	10	article	article	NOUN
cana-6093	4	11	history	history	NOUN
cana-6093	4	12	:	:	PUNCT
cana-6093	4	13	received	receive	VERB
cana-6093	4	14	:	:	PUNCT
cana-6093	4	15	02	02	NUM
cana-6093	4	16	-	-	PUNCT
cana-6093	4	17	07	07	NUM
cana-6093	4	18	-	-	PUNCT
cana-6093	4	19	2024	2024	NUM
cana-6093	4	20	revised	revise	VERB
cana-6093	4	21	:	:	PUNCT
cana-6093	4	22	25	25	NUM
cana-6093	4	23	-	-	SYM
cana-6093	4	24	08	08	NUM
cana-6093	4	25	-	-	PUNCT
cana-6093	4	26	2024	2024	NUM
cana-6093	4	27	accepted	accept	VERB
cana-6093	4	28	:	:	PUNCT
cana-6093	4	29	20	20	NUM
cana-6093	4	30	-	-	SYM
cana-6093	4	31	09	09	NUM
cana-6093	4	32	-	-	PUNCT
cana-6093	4	33	2024	2024	NUM
cana-6093	4	34	abstract	abstract	NOUN
cana-6093	4	35	:	:	PUNCT
cana-6093	4	36	nverse	nverse	NOUN
cana-6093	4	37	problems	problem	NOUN
cana-6093	4	38	represent	represent	VERB
cana-6093	4	39	a	a	DET
cana-6093	4	40	class	class	NOUN
cana-6093	4	41	of	of	ADP
cana-6093	4	42	computational	computational	ADJ
cana-6093	4	43	challenges	challenge	NOUN
cana-6093	4	44	where	where	SCONJ
cana-6093	4	45	the	the	DET
cana-6093	4	46	goal	goal	NOUN
cana-6093	4	47	is	be	AUX
cana-6093	4	48	to	to	PART
cana-6093	4	49	estimate	estimate	VERB
cana-6093	4	50	unknown	unknown	ADJ
cana-6093	4	51	system	system	NOUN
cana-6093	4	52	parameters	parameter	NOUN
cana-6093	4	53	from	from	ADP
cana-6093	4	54	observed	observed	ADJ
cana-6093	4	55	data	datum	NOUN
cana-6093	4	56	,	,	PUNCT
cana-6093	4	57	with	with	ADP
cana-6093	4	58	applications	application	NOUN
cana-6093	4	59	ranging	range	VERB
cana-6093	4	60	from	from	ADP
cana-6093	4	61	medical	medical	ADJ
cana-6093	4	62	imaging	imaging	NOUN
cana-6093	4	63	to	to	ADP
cana-6093	4	64	geophysical	geophysical	ADJ
cana-6093	4	65	exploration	exploration	NOUN
cana-6093	4	66	.	.	PUNCT
cana-6093	5	1	these	these	DET
cana-6093	5	2	problems	problem	NOUN
cana-6093	5	3	are	be	AUX
cana-6093	5	4	typically	typically	ADV
cana-6093	5	5	illposed	illpose	VERB
cana-6093	5	6	and	and	CCONJ
cana-6093	5	7	computationally	computationally	ADV
cana-6093	5	8	intensive	intensive	ADJ
cana-6093	5	9	,	,	PUNCT
cana-6093	5	10	often	often	ADV
cana-6093	5	11	requiring	require	VERB
cana-6093	5	12	sophisticated	sophisticated	ADJ
cana-6093	5	13	regularization	regularization	NOUN
cana-6093	5	14	techniques	technique	NOUN
cana-6093	5	15	and	and	CCONJ
cana-6093	5	16	iterative	iterative	NOUN
cana-6093	5	17	optimization	optimization	NOUN
cana-6093	5	18	methods	method	NOUN
cana-6093	5	19	.	.	PUNCT
cana-6093	6	1	this	this	DET
cana-6093	6	2	comprehensive	comprehensive	ADJ
cana-6093	6	3	review	review	NOUN
cana-6093	6	4	explores	explore	VERB
cana-6093	6	5	the	the	DET
cana-6093	6	6	transformative	transformative	ADJ
cana-6093	6	7	potential	potential	NOUN
cana-6093	6	8	of	of	ADP
cana-6093	6	9	generative	generative	ADJ
cana-6093	6	10	adversarial	adversarial	ADJ
cana-6093	6	11	networks	network	NOUN
cana-6093	6	12	(	(	PUNCT
cana-6093	6	13	gans	gan	NOUN
cana-6093	6	14	)	)	PUNCT
cana-6093	6	15	in	in	ADP
cana-6093	6	16	accelerating	accelerate	VERB
cana-6093	6	17	solutions	solution	NOUN
cana-6093	6	18	to	to	ADP
cana-6093	6	19	inverse	inverse	NOUN
cana-6093	6	20	problems	problem	NOUN
cana-6093	6	21	across	across	ADP
cana-6093	6	22	various	various	ADJ
cana-6093	6	23	scientific	scientific	ADJ
cana-6093	6	24	domains	domain	NOUN
cana-6093	6	25	.	.	PUNCT
cana-6093	7	1	we	we	PRON
cana-6093	7	2	examine	examine	VERB
cana-6093	7	3	how	how	SCONJ
cana-6093	7	4	gan	gan	PROPN
cana-6093	7	5	architectures	architecture	NOUN
cana-6093	7	6	can	can	AUX
cana-6093	7	7	learn	learn	VERB
cana-6093	7	8	complex	complex	ADJ
cana-6093	7	9	prior	prior	ADJ
cana-6093	7	10	distributions	distribution	NOUN
cana-6093	7	11	from	from	ADP
cana-6093	7	12	data	datum	NOUN
cana-6093	7	13	,	,	PUNCT
cana-6093	7	14	enable	enable	VERB
cana-6093	7	15	rapid	rapid	ADJ
cana-6093	7	16	parameter	parameter	NOUN
cana-6093	7	17	estimation	estimation	NOUN
cana-6093	7	18	,	,	PUNCT
cana-6093	7	19	and	and	CCONJ
cana-6093	7	20	produce	produce	VERB
cana-6093	7	21	high	high	ADJ
cana-6093	7	22	-	-	PUNCT
cana-6093	7	23	fidelity	fidelity	NOUN
cana-6093	7	24	reconstructions	reconstruction	NOUN
cana-6093	7	25	while	while	SCONJ
cana-6093	7	26	significantly	significantly	ADV
cana-6093	7	27	reducing	reduce	VERB
cana-6093	7	28	computational	computational	ADJ
cana-6093	7	29	burden	burden	NOUN
cana-6093	7	30	compared	compare	VERB
cana-6093	7	31	to	to	ADP
cana-6093	7	32	traditional	traditional	ADJ
cana-6093	7	33	methods	method	NOUN
cana-6093	7	34	.	.	PUNCT
cana-6093	8	1	the	the	DET
cana-6093	8	2	paper	paper	NOUN
cana-6093	8	3	covers	cover	VERB
cana-6093	8	4	fundamental	fundamental	ADJ
cana-6093	8	5	theoretical	theoretical	ADJ
cana-6093	8	6	concepts	concept	NOUN
cana-6093	8	7	,	,	PUNCT
cana-6093	8	8	including	include	VERB
cana-6093	8	9	conditional	conditional	ADJ
cana-6093	8	10	gans	gan	NOUN
cana-6093	8	11	,	,	PUNCT
cana-6093	8	12	wasserstein	wasserstein	NOUN
cana-6093	8	13	gans	gan	NOUN
cana-6093	8	14	with	with	ADP
cana-6093	8	15	gradient	gradient	ADJ
cana-6093	8	16	penalty	penalty	NOUN
cana-6093	8	17	,	,	PUNCT
cana-6093	8	18	and	and	CCONJ
cana-6093	8	19	physics	physics	NOUN
cana-6093	8	20	-	-	PUNCT
cana-6093	8	21	informed	inform	VERB
cana-6093	8	22	adversarial	adversarial	ADJ
cana-6093	8	23	approaches	approach	NOUN
cana-6093	8	24	that	that	PRON
cana-6093	8	25	integrate	integrate	VERB
cana-6093	8	26	physical	physical	ADJ
cana-6093	8	27	constraints	constraint	NOUN
cana-6093	8	28	into	into	ADP
cana-6093	8	29	the	the	DET
cana-6093	8	30	learning	learning	NOUN
cana-6093	8	31	process	process	NOUN
cana-6093	8	32	.	.	PUNCT
cana-6093	9	1	through	through	ADP
cana-6093	9	2	detailed	detailed	ADJ
cana-6093	9	3	case	case	NOUN
cana-6093	9	4	studies	study	NOUN
cana-6093	9	5	in	in	ADP
cana-6093	9	6	seismic	seismic	ADJ
cana-6093	9	7	imaging	imaging	NOUN
cana-6093	9	8	,	,	PUNCT
cana-6093	9	9	medical	medical	ADJ
cana-6093	9	10	reconstruction	reconstruction	NOUN
cana-6093	9	11	,	,	PUNCT
cana-6093	9	12	materials	material	NOUN
cana-6093	9	13	science	science	NOUN
cana-6093	9	14	,	,	PUNCT
cana-6093	9	15	and	and	CCONJ
cana-6093	9	16	physical	physical	ADJ
cana-6093	9	17	modeling	modeling	NOUN
cana-6093	9	18	,	,	PUNCT
cana-6093	9	19	we	we	PRON
cana-6093	9	20	demonstrate	demonstrate	VERB
cana-6093	9	21	how	how	SCONJ
cana-6093	9	22	gan	gan	NOUN
cana-6093	9	23	-	-	PUNCT
cana-6093	9	24	based	base	VERB
cana-6093	9	25	approaches	approach	NOUN
cana-6093	9	26	achieve	achieve	VERB
cana-6093	9	27	substantial	substantial	ADJ
cana-6093	9	28	acceleration	acceleration	NOUN
cana-6093	9	29	often	often	ADV
cana-6093	9	30	orders	order	NOUN
cana-6093	9	31	of	of	ADP
cana-6093	9	32	magnitude	magnitude	NOUN
cana-6093	9	33	faster	fast	ADV
cana-6093	9	34	than	than	ADP
cana-6093	9	35	conventional	conventional	ADJ
cana-6093	9	36	techniques	technique	NOUN
cana-6093	9	37	while	while	SCONJ
cana-6093	9	38	maintaining	maintain	VERB
cana-6093	9	39	competitive	competitive	ADJ
cana-6093	9	40	reconstruction	reconstruction	NOUN
cana-6093	9	41	quality	quality	NOUN
cana-6093	9	42	.	.	PUNCT
cana-6093	10	1	the	the	DET
cana-6093	10	2	review	review	NOUN
cana-6093	10	3	also	also	ADV
cana-6093	10	4	addresses	address	VERB
cana-6093	10	5	current	current	ADJ
cana-6093	10	6	challenges	challenge	NOUN
cana-6093	10	7	and	and	CCONJ
cana-6093	10	8	limitations	limitation	NOUN
cana-6093	10	9	,	,	PUNCT
cana-6093	10	10	such	such	ADJ
cana-6093	10	11	as	as	ADP
cana-6093	10	12	training	training	NOUN
cana-6093	10	13	instability	instability	NOUN
cana-6093	10	14	,	,	PUNCT
cana-6093	10	15	theoretical	theoretical	ADJ
cana-6093	10	16	guarantees	guarantee	NOUN
cana-6093	10	17	,	,	PUNCT
cana-6093	10	18	and	and	CCONJ
cana-6093	10	19	data	datum	NOUN
cana-6093	10	20	requirements	requirement	NOUN
cana-6093	10	21	,	,	PUNCT
cana-6093	10	22	while	while	SCONJ
cana-6093	10	23	outlining	outline	VERB
cana-6093	10	24	promising	promise	VERB
cana-6093	10	25	future	future	ADJ
cana-6093	10	26	research	research	NOUN
cana-6093	10	27	directions	direction	NOUN
cana-6093	10	28	for	for	ADP
cana-6093	10	29	further	far	ADV
cana-6093	10	30	advancing	advance	VERB
cana-6093	10	31	the	the	DET
cana-6093	10	32	field	field	NOUN
cana-6093	10	33	of	of	ADP
cana-6093	10	34	accelerated	accelerated	ADJ
cana-6093	10	35	inverse	inverse	NOUN
cana-6093	10	36	problem	problem	NOUN
cana-6093	10	37	solving	solving	NOUN
cana-6093	10	38	.	.	PUNCT
cana-6093	11	1	keywords	keyword	NOUN
cana-6093	11	2	:	:	PUNCT
cana-6093	11	3	inverse	inverse	NOUN
cana-6093	11	4	problems	problem	NOUN
cana-6093	11	5	,	,	PUNCT
cana-6093	11	6	generative	generative	ADJ
cana-6093	11	7	adversarial	adversarial	ADJ
cana-6093	11	8	networks	network	NOUN
cana-6093	11	9	(	(	PUNCT
cana-6093	11	10	gans),computational	gans),computational	ADJ
cana-6093	11	11	acceleration	acceleration	NOUN
cana-6093	11	12	,	,	PUNCT
cana-6093	11	13	image	image	NOUN
cana-6093	11	14	reconstruction	reconstruction	NOUN
cana-6093	11	15	,	,	PUNCT
cana-6093	11	16	deep	deep	ADJ
cana-6093	11	17	learning	learning	NOUN
cana-6093	11	18	,	,	PUNCT
cana-6093	11	19	physics	physics	NOUN
cana-6093	11	20	-	-	PUNCT
cana-6093	11	21	informed	inform	VERB
cana-6093	11	22	neural	neural	ADJ
cana-6093	11	23	networks	network	NOUN
cana-6093	11	24	,	,	PUNCT
cana-6093	11	25	seismic	seismic	ADJ
cana-6093	11	26	imaging	imaging	NOUN
cana-6093	11	27	,	,	PUNCT
cana-6093	11	28	medical	medical	ADJ
cana-6093	11	29	imaging	imaging	NOUN
cana-6093	11	30	,	,	PUNCT
cana-6093	11	31	regularization	regularization	NOUN
cana-6093	11	32	.	.	PUNCT
cana-6093	12	1	1.introduction	1.introduction	NUM
cana-6093	12	2	inverse	inverse	NOUN
cana-6093	12	3	problems	problem	NOUN
cana-6093	12	4	represent	represent	VERB
cana-6093	12	5	a	a	DET
cana-6093	12	6	fundamental	fundamental	ADJ
cana-6093	12	7	class	class	NOUN
cana-6093	12	8	of	of	ADP
cana-6093	12	9	computational	computational	ADJ
cana-6093	12	10	challenges	challenge	NOUN
cana-6093	12	11	across	across	ADP
cana-6093	12	12	scientific	scientific	ADJ
cana-6093	12	13	and	and	CCONJ
cana-6093	12	14	engineering	engineering	NOUN
cana-6093	12	15	disciplines	discipline	NOUN
cana-6093	12	16	,	,	PUNCT
cana-6093	12	17	where	where	SCONJ
cana-6093	12	18	the	the	DET
cana-6093	12	19	objective	objective	NOUN
cana-6093	12	20	is	be	AUX
cana-6093	12	21	to	to	PART
cana-6093	12	22	estimate	estimate	VERB
cana-6093	12	23	unknown	unknown	ADJ
cana-6093	12	24	system	system	NOUN
cana-6093	12	25	parameters	parameter	NOUN
cana-6093	12	26	or	or	CCONJ
cana-6093	12	27	hidden	hide	VERB
cana-6093	12	28	states	state	NOUN
cana-6093	12	29	from	from	ADP
cana-6093	12	30	observed	observed	ADJ
cana-6093	12	31	indirect	indirect	ADJ
cana-6093	12	32	measurements	measurement	NOUN
cana-6093	12	33	.	.	PUNCT
cana-6093	13	1	these	these	DET
cana-6093	13	2	problems	problem	NOUN
cana-6093	13	3	arise	arise	VERB
cana-6093	13	4	in	in	ADP
cana-6093	13	5	diverse	diverse	ADJ
cana-6093	13	6	fields	field	NOUN
cana-6093	13	7	including	include	VERB
cana-6093	13	8	medical	medical	ADJ
cana-6093	13	9	imaging	imaging	NOUN
cana-6093	13	10	(	(	PUNCT
cana-6093	13	11	e.g.	e.g.	ADV
cana-6093	13	12	,	,	PUNCT
cana-6093	13	13	ct	ct	NUM
cana-6093	13	14	and	and	CCONJ
cana-6093	13	15	mri	mri	PROPN
cana-6093	13	16	reconstruction	reconstruction	NOUN
cana-6093	13	17	)	)	PUNCT
cana-6093	13	18	,	,	PUNCT
cana-6093	13	19	geophysical	geophysical	ADJ
cana-6093	13	20	exploration	exploration	NOUN
cana-6093	13	21	(	(	PUNCT
cana-6093	13	22	e.g.	e.g.	ADV
cana-6093	13	23	,	,	PUNCT
cana-6093	13	24	seismic	seismic	ADJ
cana-6093	13	25	inversion	inversion	NOUN
cana-6093	13	26	)	)	PUNCT
cana-6093	13	27	,	,	PUNCT
cana-6093	13	28	materials	material	NOUN
cana-6093	13	29	science	science	NOUN
cana-6093	13	30	,	,	PUNCT
cana-6093	13	31	and	and	CCONJ
cana-6093	13	32	astronomical	astronomical	ADJ
cana-6093	13	33	imaging	imaging	NOUN
cana-6093	13	34	.	.	PUNCT
cana-6093	14	1	mailto:drdhani.99dce@gmail.com	mailto:drdhani.99dce@gmail.com	X
cana-6093	14	2	mailto:shobhankumardm@gmail.com	mailto:shobhankumardm@gmail.com	X
cana-6093	14	3	mailto:ljrcmaths@gmail.com	mailto:ljrcmaths@gmail.com	X
cana-6093	14	4	mailto:rameshgollahally@gmail.com	mailto:rameshgollahally@gmail.com	X
cana-6093	15	1	mailto:drdhani.99dce@gmail.com	mailto:drdhani.99dce@gmail.com	X
cana-6093	15	2	mailto:shobhankumardm@gmail.com	mailto:shobhankumardm@gmail.com	PROPN
cana-6093	15	3	communications	communication	NOUN
cana-6093	15	4	on	on	ADP
cana-6093	15	5	applied	apply	VERB
cana-6093	15	6	nonlinear	nonlinear	ADJ
cana-6093	15	7	analysis	analysis	NOUN
cana-6093	15	8	issn	issn	NOUN
cana-6093	15	9	:	:	PUNCT
cana-6093	15	10	1074	1074	NUM
cana-6093	15	11	-	-	PUNCT
cana-6093	15	12	133x	133x	NUM
cana-6093	15	13	vol	vol	NOUN
cana-6093	15	14	31	31	NUM
cana-6093	15	15	no	no	NOUN
cana-6093	15	16	.	.	NOUN
cana-6093	15	17	1	1	NUM
cana-6093	15	18	(	(	PUNCT
cana-6093	15	19	2024	2024	NUM
cana-6093	15	20	)	)	PUNCT
cana-6093	15	21	366	366	NUM
cana-6093	15	22	https://internationalpubls.com	https://internationalpubls.com	X
cana-6093	16	1	the	the	DET
cana-6093	16	2	mathematical	mathematical	ADJ
cana-6093	16	3	formulation	formulation	NOUN
cana-6093	16	4	typically	typically	ADV
cana-6093	16	5	involves	involve	VERB
cana-6093	16	6	estimating	estimate	VERB
cana-6093	16	7	parameters	parameter	NOUN
cana-6093	16	8	*	*	PUNCT
cana-6093	16	9	x	x	X
cana-6093	16	10	*	*	PUNCT
cana-6093	16	11	from	from	ADP
cana-6093	16	12	observations	observation	NOUN
cana-6093	16	13	*	*	PUNCT
cana-6093	16	14	y	y	X
cana-6093	16	15	*	*	PUNCT
cana-6093	16	16	related	relate	VERB
cana-6093	16	17	through	through	ADP
cana-6093	16	18	a	a	DET
cana-6093	16	19	forward	forward	ADJ
cana-6093	16	20	model	model	NOUN
cana-6093	16	21	y	y	PROPN
cana-6093	16	22	=	=	SYM
cana-6093	16	23	f(x	f(x	PROPN
cana-6093	16	24	)	)	PUNCT
cana-6093	17	1	+	+	CCONJ
cana-6093	17	2	η	η	PROPN
cana-6093	17	3	,	,	PUNCT
cana-6093	17	4	where	where	SCONJ
cana-6093	17	5	f	f	PROPN
cana-6093	17	6	represents	represent	VERB
cana-6093	17	7	the	the	DET
cana-6093	17	8	physical	physical	ADJ
cana-6093	17	9	mapping	mapping	NOUN
cana-6093	17	10	and	and	CCONJ
cana-6093	17	11	η	η	PROPN
cana-6093	17	12	denotes	denotes	PROPN
cana-6093	17	13	measurement	measurement	NOUN
cana-6093	17	14	noise	noise	VERB
cana-6093	17	15	210	210	NUM
cana-6093	17	16	.	.	PUNCT
cana-6093	18	1	inverse	inverse	NOUN
cana-6093	18	2	problems	problem	NOUN
cana-6093	18	3	are	be	AUX
cana-6093	18	4	notoriously	notoriously	ADV
cana-6093	18	5	ill	ill	ADV
cana-6093	18	6	-	-	PUNCT
cana-6093	18	7	posed	pose	VERB
cana-6093	18	8	in	in	ADP
cana-6093	18	9	the	the	DET
cana-6093	18	10	hadamard	hadamard	ADJ
cana-6093	18	11	sense	sense	NOUN
cana-6093	18	12	,	,	PUNCT
cana-6093	18	13	meaning	mean	VERB
cana-6093	18	14	they	they	PRON
cana-6093	18	15	may	may	AUX
cana-6093	18	16	lack	lack	VERB
cana-6093	18	17	unique	unique	ADJ
cana-6093	18	18	solutions	solution	NOUN
cana-6093	18	19	or	or	CCONJ
cana-6093	18	20	exhibit	exhibit	VERB
cana-6093	18	21	extreme	extreme	ADJ
cana-6093	18	22	sensitivity	sensitivity	NOUN
cana-6093	18	23	to	to	PART
cana-6093	18	24	noise	noise	VERB
cana-6093	18	25	and	and	CCONJ
cana-6093	18	26	small	small	ADJ
cana-6093	18	27	perturbations	perturbation	NOUN
cana-6093	18	28	in	in	ADP
cana-6093	18	29	measurements	measurement	NOUN
cana-6093	18	30	12	12	NUM
cana-6093	18	31	.	.	PUNCT
cana-6093	19	1	traditional	traditional	ADJ
cana-6093	19	2	approaches	approach	NOUN
cana-6093	19	3	to	to	ADP
cana-6093	19	4	solving	solve	VERB
cana-6093	19	5	inverse	inverse	NOUN
cana-6093	19	6	problems	problem	NOUN
cana-6093	19	7	include	include	VERB
cana-6093	19	8	analytical	analytical	ADJ
cana-6093	19	9	inversion	inversion	NOUN
cana-6093	19	10	methods	method	NOUN
cana-6093	19	11	,	,	PUNCT
cana-6093	19	12	iterative	iterative	ADJ
cana-6093	19	13	optimization	optimization	NOUN
cana-6093	19	14	techniques	technique	NOUN
cana-6093	19	15	,	,	PUNCT
cana-6093	19	16	discretization	discretization	NOUN
cana-6093	19	17	-	-	PUNCT
cana-6093	19	18	based	base	VERB
cana-6093	19	19	regularization	regularization	NOUN
cana-6093	19	20	,	,	PUNCT
cana-6093	19	21	and	and	CCONJ
cana-6093	19	22	variational	variational	ADJ
cana-6093	19	23	methods	method	NOUN
cana-6093	19	24	that	that	PRON
cana-6093	19	25	incorporate	incorporate	VERB
cana-6093	19	26	prior	prior	ADJ
cana-6093	19	27	knowledge	knowledge	NOUN
cana-6093	19	28	through	through	ADP
cana-6093	19	29	penalty	penalty	NOUN
cana-6093	19	30	terms	term	NOUN
cana-6093	19	31	10	10	NUM
cana-6093	19	32	.	.	PUNCT
cana-6093	20	1	while	while	SCONJ
cana-6093	20	2	these	these	DET
cana-6093	20	3	methods	method	NOUN
cana-6093	20	4	have	have	AUX
cana-6093	20	5	proven	prove	VERB
cana-6093	20	6	effective	effective	ADJ
cana-6093	20	7	in	in	ADP
cana-6093	20	8	many	many	ADJ
cana-6093	20	9	applications	application	NOUN
cana-6093	20	10	,	,	PUNCT
cana-6093	20	11	they	they	PRON
cana-6093	20	12	often	often	ADV
cana-6093	20	13	face	face	VERB
cana-6093	20	14	significant	significant	ADJ
cana-6093	20	15	limitations	limitation	NOUN
cana-6093	20	16	:	:	PUNCT
cana-6093	20	17	they	they	PRON
cana-6093	20	18	require	require	VERB
cana-6093	20	19	explicitly	explicitly	ADV
cana-6093	20	20	defined	define	VERB
cana-6093	20	21	prior	prior	ADJ
cana-6093	20	22	models	model	NOUN
cana-6093	20	23	,	,	PUNCT
cana-6093	20	24	can	can	AUX
cana-6093	20	25	be	be	AUX
cana-6093	20	26	computationally	computationally	ADV
cana-6093	20	27	intensive	intensive	ADJ
cana-6093	20	28	for	for	ADP
cana-6093	20	29	large	large	ADJ
cana-6093	20	30	-	-	PUNCT
cana-6093	20	31	scale	scale	NOUN
cana-6093	20	32	problems	problem	NOUN
cana-6093	20	33	,	,	PUNCT
cana-6093	20	34	may	may	AUX
cana-6093	20	35	struggle	struggle	VERB
cana-6093	20	36	with	with	ADP
cana-6093	20	37	complex	complex	ADJ
cana-6093	20	38	non	non	ADJ
cana-6093	20	39	-	-	ADJ
cana-6093	20	40	gaussian	gaussian	ADJ
cana-6093	20	41	distributions	distribution	NOUN
cana-6093	20	42	,	,	PUNCT
cana-6093	20	43	and	and	CCONJ
cana-6093	20	44	typically	typically	ADV
cana-6093	20	45	need	need	VERB
cana-6093	20	46	to	to	PART
cana-6093	20	47	be	be	AUX
cana-6093	20	48	customized	customize	VERB
cana-6093	20	49	for	for	ADP
cana-6093	20	50	each	each	DET
cana-6093	20	51	specific	specific	ADJ
cana-6093	20	52	problem	problem	NOUN
cana-6093	20	53	type	type	NOUN
cana-6093	20	54	210	210	NUM
cana-6093	20	55	.	.	PUNCT
cana-6093	21	1	the	the	DET
cana-6093	21	2	computational	computational	ADJ
cana-6093	21	3	burden	burden	NOUN
cana-6093	21	4	is	be	AUX
cana-6093	21	5	particularly	particularly	ADV
cana-6093	21	6	prohibitive	prohibitive	ADJ
cana-6093	21	7	in	in	ADP
cana-6093	21	8	applications	application	NOUN
cana-6093	21	9	requiring	require	VERB
cana-6093	21	10	real	real	ADJ
cana-6093	21	11	-	-	PUNCT
cana-6093	21	12	time	time	NOUN
cana-6093	21	13	solutions	solution	NOUN
cana-6093	21	14	or	or	CCONJ
cana-6093	21	15	dealing	deal	VERB
cana-6093	21	16	with	with	ADP
cana-6093	21	17	high	high	ADJ
cana-6093	21	18	-	-	PUNCT
cana-6093	21	19	dimensional	dimensional	ADJ
cana-6093	21	20	parameter	parameter	NOUN
cana-6093	21	21	spaces	space	NOUN
cana-6093	21	22	.	.	PUNCT
cana-6093	22	1	the	the	DET
cana-6093	22	2	emergence	emergence	NOUN
cana-6093	22	3	of	of	ADP
cana-6093	22	4	deep	deep	ADJ
cana-6093	22	5	learning	learning	NOUN
cana-6093	22	6	methodologies	methodology	NOUN
cana-6093	22	7	has	have	AUX
cana-6093	22	8	introduced	introduce	VERB
cana-6093	22	9	powerful	powerful	ADJ
cana-6093	22	10	new	new	ADJ
cana-6093	22	11	paradigms	paradigm	NOUN
cana-6093	22	12	for	for	ADP
cana-6093	22	13	addressing	address	VERB
cana-6093	22	14	inverse	inverse	NOUN
cana-6093	22	15	problems	problem	NOUN
cana-6093	22	16	.	.	PUNCT
cana-6093	23	1	among	among	ADP
cana-6093	23	2	these	these	PRON
cana-6093	23	3	,	,	PUNCT
cana-6093	23	4	generative	generative	ADJ
cana-6093	23	5	adversarial	adversarial	ADJ
cana-6093	23	6	networks	network	NOUN
cana-6093	23	7	(	(	PUNCT
cana-6093	23	8	gans	gan	NOUN
cana-6093	23	9	)	)	PUNCT
cana-6093	23	10	have	have	AUX
cana-6093	23	11	shown	show	VERB
cana-6093	23	12	remarkable	remarkable	ADJ
cana-6093	23	13	potential	potential	NOUN
cana-6093	23	14	for	for	ADP
cana-6093	23	15	accelerating	accelerate	VERB
cana-6093	23	16	inverse	inverse	ADJ
cana-6093	23	17	problem	problem	NOUN
cana-6093	23	18	solutions	solution	NOUN
cana-6093	23	19	while	while	SCONJ
cana-6093	23	20	handling	handle	VERB
cana-6093	23	21	complex	complex	ADJ
cana-6093	23	22	data	datum	NOUN
cana-6093	23	23	distributions	distribution	NOUN
cana-6093	23	24	138	138	NUM
cana-6093	23	25	.	.	PUNCT
cana-6093	24	1	gans	gan	NOUN
cana-6093	24	2	,	,	PUNCT
cana-6093	24	3	introduced	introduce	VERB
cana-6093	24	4	by	by	ADP
cana-6093	24	5	goodfellow	goodfellow	PROPN
cana-6093	24	6	et	et	PROPN
cana-6093	24	7	al	al	PROPN
cana-6093	24	8	.	.	PROPN
cana-6093	24	9	,	,	PUNCT
cana-6093	24	10	employ	employ	VERB
cana-6093	24	11	a	a	DET
cana-6093	24	12	game	game	NOUN
cana-6093	24	13	-	-	PUNCT
cana-6093	24	14	theoretic	theoretic	NOUN
cana-6093	24	15	framework	framework	NOUN
cana-6093	24	16	where	where	SCONJ
cana-6093	24	17	a	a	DET
cana-6093	24	18	generator	generator	NOUN
cana-6093	24	19	network	network	NOUN
cana-6093	24	20	learns	learn	VERB
cana-6093	24	21	to	to	PART
cana-6093	24	22	produce	produce	VERB
cana-6093	24	23	realistic	realistic	ADJ
cana-6093	24	24	samples	sample	NOUN
cana-6093	24	25	from	from	ADP
cana-6093	24	26	a	a	DET
cana-6093	24	27	target	target	NOUN
cana-6093	24	28	distribution	distribution	NOUN
cana-6093	24	29	while	while	SCONJ
cana-6093	24	30	a	a	DET
cana-6093	24	31	discriminator	discriminator	NOUN
cana-6093	24	32	network	network	NOUN
cana-6093	24	33	learns	learn	VERB
cana-6093	24	34	to	to	PART
cana-6093	24	35	distinguish	distinguish	VERB
cana-6093	24	36	between	between	ADP
cana-6093	24	37	real	real	ADJ
cana-6093	24	38	and	and	CCONJ
cana-6093	24	39	generated	generate	VERB
cana-6093	24	40	samples	sample	NOUN
cana-6093	24	41	6	6	NUM
cana-6093	24	42	.	.	PUNCT
cana-6093	25	1	this	this	DET
cana-6093	25	2	adversarial	adversarial	ADJ
cana-6093	25	3	training	training	NOUN
cana-6093	25	4	process	process	NOUN
cana-6093	25	5	enables	enable	VERB
cana-6093	25	6	gans	gan	NOUN
cana-6093	25	7	to	to	PART
cana-6093	25	8	learn	learn	VERB
cana-6093	25	9	complex	complex	ADJ
cana-6093	25	10	,	,	PUNCT
cana-6093	25	11	high	high	ADJ
cana-6093	25	12	-	-	PUNCT
cana-6093	25	13	dimensional	dimensional	ADJ
cana-6093	25	14	distributions	distribution	NOUN
cana-6093	25	15	without	without	ADP
cana-6093	25	16	explicit	explicit	ADJ
cana-6093	25	17	probability	probability	NOUN
cana-6093	25	18	density	density	NOUN
cana-6093	25	19	estimation	estimation	NOUN
cana-6093	25	20	,	,	PUNCT
cana-6093	25	21	making	make	VERB
cana-6093	25	22	them	they	PRON
cana-6093	25	23	particularly	particularly	ADV
cana-6093	25	24	suitable	suitable	ADJ
cana-6093	25	25	for	for	ADP
cana-6093	25	26	inverse	inverse	NOUN
cana-6093	25	27	problems	problem	NOUN
cana-6093	25	28	where	where	SCONJ
cana-6093	25	29	prior	prior	ADJ
cana-6093	25	30	distributions	distribution	NOUN
cana-6093	25	31	are	be	AUX
cana-6093	25	32	difficult	difficult	ADJ
cana-6093	25	33	to	to	PART
cana-6093	25	34	characterize	characterize	VERB
cana-6093	25	35	analytically.the	analytically.the	DET
cana-6093	25	36	integration	integration	NOUN
cana-6093	25	37	of	of	ADP
cana-6093	25	38	gans	gan	NOUN
cana-6093	25	39	into	into	ADP
cana-6093	25	40	inverse	inverse	NOUN
cana-6093	25	41	problem	problem	NOUN
cana-6093	25	42	solutions	solution	NOUN
cana-6093	25	43	offers	offer	VERB
cana-6093	25	44	several	several	ADJ
cana-6093	25	45	compelling	compelling	ADJ
cana-6093	25	46	advantages	advantage	NOUN
cana-6093	25	47	:	:	PUNCT
cana-6093	25	48	(	(	PUNCT
cana-6093	25	49	1	1	X
cana-6093	25	50	)	)	PUNCT
cana-6093	25	51	the	the	DET
cana-6093	25	52	ability	ability	NOUN
cana-6093	25	53	to	to	PART
cana-6093	25	54	learn	learn	VERB
cana-6093	25	55	data	data	NOUN
cana-6093	25	56	-	-	PUNCT
cana-6093	25	57	driven	drive	VERB
cana-6093	25	58	priors	prior	NOUN
cana-6093	25	59	that	that	PRON
cana-6093	25	60	capture	capture	VERB
cana-6093	25	61	complex	complex	ADJ
cana-6093	25	62	structures	structure	NOUN
cana-6093	25	63	more	more	ADV
cana-6093	25	64	effectively	effectively	ADV
cana-6093	25	65	than	than	ADP
cana-6093	25	66	hand	hand	NOUN
cana-6093	25	67	-	-	PUNCT
cana-6093	25	68	crafted	craft	VERB
cana-6093	25	69	regularizers	regularizer	NOUN
cana-6093	25	70	;	;	PUNCT
cana-6093	25	71	(	(	PUNCT
cana-6093	25	72	2	2	X
cana-6093	25	73	)	)	PUNCT
cana-6093	25	74	accelerated	accelerate	VERB
cana-6093	25	75	computation	computation	NOUN
cana-6093	25	76	through	through	ADP
cana-6093	25	77	direct	direct	ADJ
cana-6093	25	78	mapping	mapping	NOUN
cana-6093	25	79	from	from	ADP
cana-6093	25	80	measurements	measurement	NOUN
cana-6093	25	81	to	to	ADP
cana-6093	25	82	parameters	parameter	NOUN
cana-6093	25	83	once	once	ADV
cana-6093	25	84	trained	train	VERB
cana-6093	25	85	;	;	PUNCT
cana-6093	25	86	(	(	PUNCT
cana-6093	25	87	3	3	X
cana-6093	25	88	)	)	PUNCT
cana-6093	25	89	improved	improve	VERB
cana-6093	25	90	handling	handling	NOUN
cana-6093	25	91	of	of	ADP
cana-6093	25	92	non	non	ADJ
cana-6093	25	93	-	-	ADJ
cana-6093	25	94	gaussian	gaussian	ADJ
cana-6093	25	95	uncertainties	uncertainty	NOUN
cana-6093	25	96	and	and	CCONJ
cana-6093	25	97	multimodal	multimodal	NOUN
cana-6093	25	98	distributions	distribution	NOUN
cana-6093	25	99	;	;	PUNCT
cana-6093	25	100	and	and	CCONJ
cana-6093	25	101	(	(	PUNCT
cana-6093	25	102	4	4	X
cana-6093	25	103	)	)	PUNCT
cana-6093	25	104	potential	potential	NOUN
cana-6093	25	105	for	for	ADP
cana-6093	25	106	unsupervised	unsupervised	ADJ
cana-6093	25	107	or	or	CCONJ
cana-6093	25	108	semi	semi	ADJ
cana-6093	25	109	-	-	ADJ
cana-6093	25	110	supervised	supervised	ADJ
cana-6093	25	111	learning	learning	NOUN
cana-6093	25	112	paradigms	paradigm	NOUN
cana-6093	25	113	that	that	PRON
cana-6093	25	114	reduce	reduce	VERB
cana-6093	25	115	reliance	reliance	NOUN
cana-6093	25	116	on	on	ADP
cana-6093	25	117	fully	fully	ADV
cana-6093	25	118	-	-	PUNCT
cana-6093	25	119	labeled	label	VERB
cana-6093	25	120	training	training	NOUN
cana-6093	25	121	data	datum	NOUN
cana-6093	25	122	189	189	NUM
cana-6093	25	123	.	.	PUNCT
cana-6093	26	1	this	this	DET
cana-6093	26	2	paper	paper	NOUN
cana-6093	26	3	provides	provide	VERB
cana-6093	26	4	a	a	DET
cana-6093	26	5	comprehensive	comprehensive	ADJ
cana-6093	26	6	review	review	NOUN
cana-6093	26	7	of	of	ADP
cana-6093	26	8	gan	gan	NOUN
cana-6093	26	9	-	-	PUNCT
cana-6093	26	10	based	base	VERB
cana-6093	26	11	approaches	approach	NOUN
cana-6093	26	12	for	for	ADP
cana-6093	26	13	accelerating	accelerate	VERB
cana-6093	26	14	inverse	inverse	ADJ
cana-6093	26	15	problem	problem	NOUN
cana-6093	26	16	solutions	solution	NOUN
cana-6093	26	17	.	.	PUNCT
cana-6093	27	1	we	we	PRON
cana-6093	27	2	examine	examine	VERB
cana-6093	27	3	fundamental	fundamental	ADJ
cana-6093	27	4	architectures	architecture	NOUN
cana-6093	27	5	,	,	PUNCT
cana-6093	27	6	theoretical	theoretical	ADJ
cana-6093	27	7	foundations	foundation	NOUN
cana-6093	27	8	,	,	PUNCT
cana-6093	27	9	implementation	implementation	NOUN
cana-6093	27	10	strategies	strategy	NOUN
cana-6093	27	11	,	,	PUNCT
cana-6093	27	12	and	and	CCONJ
cana-6093	27	13	applications	application	NOUN
cana-6093	27	14	across	across	ADP
cana-6093	27	15	diverse	diverse	ADJ
cana-6093	27	16	domains	domain	NOUN
cana-6093	27	17	.	.	PUNCT
cana-6093	28	1	through	through	ADP
cana-6093	28	2	comparative	comparative	ADJ
cana-6093	28	3	analysis	analysis	NOUN
cana-6093	28	4	and	and	CCONJ
cana-6093	28	5	case	case	NOUN
cana-6093	28	6	studies	study	NOUN
cana-6093	28	7	,	,	PUNCT
cana-6093	28	8	we	we	PRON
cana-6093	28	9	demonstrate	demonstrate	VERB
cana-6093	28	10	how	how	SCONJ
cana-6093	28	11	gans	gan	NOUN
cana-6093	28	12	can	can	AUX
cana-6093	28	13	overcome	overcome	VERB
cana-6093	28	14	limitations	limitation	NOUN
cana-6093	28	15	of	of	ADP
cana-6093	28	16	traditional	traditional	ADJ
cana-6093	28	17	methods	method	NOUN
cana-6093	28	18	while	while	SCONJ
cana-6093	28	19	addressing	address	VERB
cana-6093	28	20	emerging	emerge	VERB
cana-6093	28	21	challenges	challenge	NOUN
cana-6093	28	22	and	and	CCONJ
cana-6093	28	23	future	future	ADJ
cana-6093	28	24	research	research	NOUN
cana-6093	28	25	directions	direction	NOUN
cana-6093	28	26	.	.	PUNCT
cana-6093	29	1	the	the	DET
cana-6093	29	2	insights	insight	NOUN
cana-6093	29	3	presented	present	VERB
cana-6093	29	4	aim	aim	VERB
cana-6093	29	5	to	to	PART
cana-6093	29	6	guide	guide	VERB
cana-6093	29	7	researchers	researcher	NOUN
cana-6093	29	8	and	and	CCONJ
cana-6093	29	9	practitioners	practitioner	NOUN
cana-6093	29	10	in	in	ADP
cana-6093	29	11	leveraging	leverage	VERB
cana-6093	29	12	gans	gan	NOUN
cana-6093	29	13	for	for	ADP
cana-6093	29	14	efficient	efficient	ADJ
cana-6093	29	15	and	and	CCONJ
cana-6093	29	16	effective	effective	ADJ
cana-6093	29	17	inverse	inverse	NOUN
cana-6093	29	18	problem	problem	NOUN
cana-6093	29	19	solutions	solution	NOUN
cana-6093	29	20	in	in	ADP
cana-6093	29	21	their	their	PRON
cana-6093	29	22	respective	respective	ADJ
cana-6093	29	23	fields	field	NOUN
cana-6093	29	24	.	.	PUNCT
cana-6093	30	1	2.theoretical	2.theoretical	NUM
cana-6093	30	2	foundations	foundation	NOUN
cana-6093	30	3	2.1	2.1	NUM
cana-6093	30	4	inverse	inverse	NOUN
cana-6093	30	5	problems	problem	NOUN
cana-6093	30	6	:	:	PUNCT
cana-6093	30	7	mathematical	mathematical	ADJ
cana-6093	30	8	formulation	formulation	NOUN
cana-6093	30	9	inverse	inverse	NOUN
cana-6093	30	10	problems	problem	NOUN
cana-6093	30	11	involve	involve	VERB
cana-6093	30	12	estimating	estimate	VERB
cana-6093	30	13	unknown	unknown	ADJ
cana-6093	30	14	parameters	parameter	NOUN
cana-6093	30	15	*	*	PUNCT
cana-6093	30	16	x	x	X
cana-6093	30	17	*	*	PUNCT
cana-6093	30	18	∈	∈	PROPN
cana-6093	30	19	ℝ^{n	ℝ^{n	NOUN
cana-6093	30	20	}	}	PUNCT
cana-6093	30	21	from	from	ADP
cana-6093	30	22	observed	observed	ADJ
cana-6093	30	23	measurements	measurement	NOUN
cana-6093	30	24	*	*	PUNCT
cana-6093	30	25	y	y	PROPN
cana-6093	30	26	*	*	PUNCT
cana-6093	30	27	∈	∈	PROPN
cana-6093	30	28	ℝ^{m	ℝ^{m	PROPN
cana-6093	30	29	}	}	PUNCT
cana-6093	30	30	related	relate	VERB
cana-6093	30	31	through	through	ADP
cana-6093	30	32	a	a	DET
cana-6093	30	33	forward	forward	ADJ
cana-6093	30	34	model	model	NOUN
cana-6093	30	35	:	:	PUNCT
cana-6093	30	36	y	y	PROPN
cana-6093	30	37	=	=	SYM
cana-6093	30	38	f(x	f(x	PROPN
cana-6093	30	39	)	)	PUNCT
cana-6093	31	1	+	+	NUM
cana-6093	31	2	η	η	PROPN
cana-6093	31	3	where	where	SCONJ
cana-6093	31	4	f	f	NOUN
cana-6093	31	5	:	:	PUNCT
cana-6093	31	6	ℝ^{n	ℝ^{n	ADJ
cana-6093	31	7	}	}	PUNCT
cana-6093	31	8	→	→	SYM
cana-6093	31	9	ℝ^{m	ℝ^{m	PROPN
cana-6093	31	10	}	}	PUNCT
cana-6093	31	11	represents	represent	VERB
cana-6093	31	12	the	the	DET
cana-6093	31	13	forward	forward	ADJ
cana-6093	31	14	operator	operator	NOUN
cana-6093	31	15	that	that	PRON
cana-6093	31	16	maps	map	VERB
cana-6093	31	17	parameters	parameter	NOUN
cana-6093	31	18	to	to	ADP
cana-6093	31	19	measurements	measurement	NOUN
cana-6093	31	20	,	,	PUNCT
cana-6093	31	21	and	and	CCONJ
cana-6093	31	22	η	η	PROPN
cana-6093	31	23	denotes	denotes	PROPN
cana-6093	31	24	measurement	measurement	NOUN
cana-6093	31	25	noise	noise	NOUN
cana-6093	31	26	typically	typically	ADV
cana-6093	31	27	modeled	model	VERB
cana-6093	31	28	as	as	ADP
cana-6093	31	29	random	random	ADJ
cana-6093	31	30	additive	additive	ADJ
cana-6093	31	31	noise	noise	NOUN
cana-6093	31	32	210	210	NUM
cana-6093	31	33	.	.	PUNCT
cana-6093	32	1	the	the	DET
cana-6093	32	2	forward	forward	ADJ
cana-6093	32	3	operator	operator	NOUN
cana-6093	32	4	embodies	embody	VERB
cana-6093	32	5	the	the	DET
cana-6093	32	6	physical	physical	ADJ
cana-6093	32	7	laws	law	NOUN
cana-6093	32	8	governing	govern	VERB
cana-6093	32	9	the	the	DET
cana-6093	32	10	system	system	NOUN
cana-6093	32	11	,	,	PUNCT
cana-6093	32	12	such	such	ADJ
cana-6093	32	13	as	as	ADP
cana-6093	32	14	wave	wave	NOUN
cana-6093	32	15	propagation	propagation	NOUN
cana-6093	32	16	in	in	ADP
cana-6093	32	17	seismic	seismic	ADJ
cana-6093	32	18	imaging	imaging	NOUN
cana-6093	32	19	or	or	CCONJ
cana-6093	32	20	radiation	radiation	NOUN
cana-6093	32	21	attenuation	attenuation	NOUN
cana-6093	32	22	in	in	ADP
cana-6093	32	23	ct	ct	PROPN
cana-6093	32	24	scanning	scanning	NOUN
cana-6093	32	25	.	.	PUNCT
cana-6093	33	1	inverse	inverse	NOUN
cana-6093	33	2	problems	problem	NOUN
cana-6093	33	3	are	be	AUX
cana-6093	33	4	typically	typically	ADV
cana-6093	33	5	ill	ill	ADV
cana-6093	33	6	-	-	PUNCT
cana-6093	33	7	posed	pose	VERB
cana-6093	33	8	,	,	PUNCT
cana-6093	33	9	violating	violate	VERB
cana-6093	33	10	at	at	ADV
cana-6093	33	11	least	least	ADJ
cana-6093	33	12	one	one	NUM
cana-6093	33	13	of	of	ADP
cana-6093	33	14	hadamard	hadamard	NOUN
cana-6093	33	15	's	's	PART
cana-6093	33	16	conditions	condition	NOUN
cana-6093	33	17	for	for	ADP
cana-6093	33	18	well	well	ADV
cana-6093	33	19	-	-	PUNCT
cana-6093	33	20	posedness	posedness	NOUN
cana-6093	33	21	:	:	PUNCT
cana-6093	34	1	existence	existence	NOUN
cana-6093	34	2	,	,	PUNCT
cana-6093	34	3	uniqueness	uniqueness	NOUN
cana-6093	34	4	,	,	PUNCT
cana-6093	34	5	and	and	CCONJ
cana-6093	34	6	stability	stability	NOUN
cana-6093	34	7	of	of	ADP
cana-6093	34	8	solutions	solution	NOUN
cana-6093	34	9	12	12	NUM
cana-6093	34	10	.	.	PUNCT
cana-6093	35	1	this	this	DET
cana-6093	35	2	ill	ill	ADJ
cana-6093	35	3	-	-	PUNCT
cana-6093	35	4	posedness	posedness	NOUN
cana-6093	35	5	arises	arise	VERB
cana-6093	35	6	from	from	ADP
cana-6093	35	7	various	various	ADJ
cana-6093	35	8	factors	factor	NOUN
cana-6093	35	9	including	include	VERB
cana-6093	35	10	noise	noise	NOUN
cana-6093	35	11	in	in	ADP
cana-6093	35	12	measurements	measurement	NOUN
cana-6093	35	13	,	,	PUNCT
cana-6093	35	14	incomplete	incomplete	ADJ
cana-6093	35	15	data	datum	NOUN
cana-6093	35	16	(	(	PUNCT
cana-6093	35	17	e.g.	e.g.	ADV
cana-6093	35	18	,	,	PUNCT
cana-6093	35	19	limited	limited	ADJ
cana-6093	35	20	viewing	view	VERB
cana-6093	35	21	angles	angle	NOUN
cana-6093	35	22	in	in	ADP
cana-6093	35	23	tomography	tomography	NOUN
cana-6093	35	24	)	)	PUNCT
cana-6093	35	25	,	,	PUNCT
cana-6093	35	26	and	and	CCONJ
cana-6093	35	27	the	the	DET
cana-6093	35	28	inherent	inherent	ADJ
cana-6093	35	29	null	null	ADJ
cana-6093	35	30	space	space	NOUN
cana-6093	35	31	of	of	ADP
cana-6093	35	32	the	the	DET
cana-6093	35	33	forward	forward	ADJ
cana-6093	35	34	operator	operator	NOUN
cana-6093	35	35	where	where	SCONJ
cana-6093	35	36	different	different	ADJ
cana-6093	35	37	parameters	parameter	NOUN
cana-6093	35	38	produce	produce	VERB
cana-6093	35	39	identical	identical	ADJ
cana-6093	35	40	measurements	measurement	NOUN
cana-6093	35	41	.	.	PUNCT
cana-6093	36	1	to	to	PART
cana-6093	36	2	address	address	VERB
cana-6093	36	3	ill	ill	ADJ
cana-6093	36	4	-	-	PUNCT
cana-6093	36	5	posedness	posedness	NOUN
cana-6093	36	6	,	,	PUNCT
cana-6093	36	7	regularization	regularization	NOUN
cana-6093	36	8	techniques	technique	NOUN
cana-6093	36	9	introduce	introduce	VERB
cana-6093	36	10	additional	additional	ADJ
cana-6093	36	11	constraints	constraint	NOUN
cana-6093	36	12	based	base	VERB
cana-6093	36	13	on	on	ADP
cana-6093	36	14	prior	prior	ADJ
cana-6093	36	15	knowledge	knowledge	NOUN
cana-6093	36	16	about	about	ADP
cana-6093	36	17	the	the	DET
cana-6093	36	18	solution	solution	NOUN
cana-6093	36	19	.	.	PUNCT
cana-6093	37	1	the	the	DET
cana-6093	37	2	variational	variational	ADJ
cana-6093	37	3	approach	approach	NOUN
cana-6093	37	4	formulates	formulate	VERB
cana-6093	37	5	inversion	inversion	NOUN
cana-6093	37	6	as	as	ADP
cana-6093	37	7	an	an	DET
cana-6093	37	8	optimization	optimization	NOUN
cana-6093	37	9	problem	problem	NOUN
cana-6093	37	10	:	:	PUNCT
cana-6093	37	11	x̂	x̂	X
cana-6093	37	12	=	=	PUNCT
cana-6093	37	13	argminₓ	argminₓ	PROPN
cana-6093	37	14	[	[	PUNCT
cana-6093	37	15	||y	||y	ADJ
cana-6093	37	16	f(x)||²	f(x)||²	PROPN
cana-6093	37	17	+	+	CCONJ
cana-6093	37	18	λr(x	λr(x	NOUN
cana-6093	37	19	)	)	PUNCT
cana-6093	37	20	]	]	PUNCT
cana-6093	37	21	where	where	SCONJ
cana-6093	37	22	the	the	DET
cana-6093	37	23	first	first	ADJ
cana-6093	37	24	term	term	NOUN
cana-6093	37	25	ensures	ensure	VERB
cana-6093	37	26	data	datum	NOUN
cana-6093	37	27	fidelity	fidelity	NOUN
cana-6093	37	28	,	,	PUNCT
cana-6093	37	29	r(x	r(x	PROPN
cana-6093	37	30	)	)	PUNCT
cana-6093	37	31	is	be	AUX
cana-6093	37	32	the	the	DET
cana-6093	37	33	regularization	regularization	NOUN
cana-6093	37	34	term	term	NOUN
cana-6093	37	35	incorporating	incorporate	VERB
cana-6093	37	36	prior	prior	ADJ
cana-6093	37	37	knowledge	knowledge	NOUN
cana-6093	37	38	,	,	PUNCT
cana-6093	37	39	and	and	CCONJ
cana-6093	37	40	λ	λ	PROPN
cana-6093	37	41	controls	control	VERB
cana-6093	37	42	the	the	DET
cana-6093	37	43	trade	trade	NOUN
cana-6093	37	44	-	-	PUNCT
cana-6093	37	45	off	off	NOUN
cana-6093	37	46	between	between	ADP
cana-6093	37	47	data	datum	NOUN
cana-6093	37	48	fitting	fitting	ADJ
cana-6093	37	49	and	and	CCONJ
cana-6093	37	50	regularization	regularization	NOUN
cana-6093	37	51	10	10	NUM
cana-6093	37	52	.	.	PUNCT
cana-6093	38	1	common	common	ADJ
cana-6093	38	2	regularizers	regularizer	NOUN
cana-6093	38	3	include	include	VERB
cana-6093	38	4	tikhonov	tikhonov	NOUN
cana-6093	38	5	(	(	PUNCT
cana-6093	38	6	l₂	l₂	NOUN
cana-6093	38	7	)	)	PUNCT
cana-6093	38	8	regularization	regularization	NOUN
cana-6093	38	9	promoting	promote	VERB
cana-6093	38	10	smoothness	smoothness	NOUN
cana-6093	38	11	,	,	PUNCT
cana-6093	38	12	total	total	ADJ
cana-6093	38	13	variation	variation	NOUN
cana-6093	38	14	(	(	PUNCT
cana-6093	38	15	tv	tv	NOUN
cana-6093	38	16	)	)	PUNCT
cana-6093	38	17	regularization	regularization	NOUN
cana-6093	38	18	preserving	preserve	VERB
cana-6093	38	19	edges	edge	NOUN
cana-6093	38	20	,	,	PUNCT
cana-6093	38	21	and	and	CCONJ
cana-6093	38	22	sparsitypromoting	sparsitypromote	VERB
cana-6093	38	23	regularizers	regularizer	NOUN
cana-6093	38	24	using	use	VERB
cana-6093	38	25	l₁	l₁	VERB
cana-6093	38	26	norms	norm	NOUN
cana-6093	38	27	or	or	CCONJ
cana-6093	38	28	other	other	ADJ
cana-6093	38	29	non	non	ADJ
cana-6093	38	30	-	-	ADJ
cana-6093	38	31	convex	convex	ADJ
cana-6093	38	32	penalties	penalty	NOUN
cana-6093	38	33	.	.	PUNCT
cana-6093	39	1	https://repositories.lib.utexas.edu/items/2ee53396-ecb9-4ced-8f47-958e00f126d2	https://repositories.lib.utexas.edu/items/2ee53396-ecb9-4ced-8f47-958e00f126d2	PROPN
cana-6093	39	2	https://pmc.ncbi.nlm.nih.gov/articles/pmc9137882/	https://pmc.ncbi.nlm.nih.gov/articles/pmc9137882/	PROPN
cana-6093	39	3	https://www.sciencedirect.com/science/article/abs/pii/s0045782523004620	https://www.sciencedirect.com/science/article/abs/pii/s0045782523004620	PROPN
cana-6093	39	4	https://repositories.lib.utexas.edu/items/2ee53396-ecb9-4ced-8f47-958e00f126d2	https://repositories.lib.utexas.edu/items/2ee53396-ecb9-4ced-8f47-958e00f126d2	PROPN
cana-6093	39	5	https://pmc.ncbi.nlm.nih.gov/articles/pmc9137882/	https://pmc.ncbi.nlm.nih.gov/articles/pmc9137882/	PROPN
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cana-6093	39	7	https://pmc.ncbi.nlm.nih.gov/articles/pmc9137882/	https://pmc.ncbi.nlm.nih.gov/articles/pmc9137882/	PROPN
cana-6093	39	8	https://www.sciencedirect.com/science/article/abs/pii/s0045782523004620	https://www.sciencedirect.com/science/article/abs/pii/s0045782523004620	NUM
cana-6093	39	9	https://arxiv.org/html/2311.11343v3	https://arxiv.org/html/2311.11343v3	NOUN
cana-6093	39	10	https://www.sciencedirect.com/science/article/abs/pii/s0266352x24005020	https://www.sciencedirect.com/science/article/abs/pii/s0266352x24005020	NOUN
cana-6093	39	11	https://arxiv.org/html/2506.18002v1	https://arxiv.org/html/2506.18002v1	NOUN
cana-6093	39	12	https://www.sciencedirect.com/science/article/abs/pii/s0045782523004620	https://www.sciencedirect.com/science/article/abs/pii/s0045782523004620	NOUN
cana-6093	39	13	https://www.sciencedirect.com/science/article/abs/pii/s0266352x24005020	https://www.sciencedirect.com/science/article/abs/pii/s0266352x24005020	NOUN
cana-6093	39	14	https://pmc.ncbi.nlm.nih.gov/articles/pmc12177523/	https://pmc.ncbi.nlm.nih.gov/articles/pmc12177523/	NOUN
cana-6093	39	15	https://repositories.lib.utexas.edu/items/2ee53396-ecb9-4ced-8f47-958e00f126d2	https://repositories.lib.utexas.edu/items/2ee53396-ecb9-4ced-8f47-958e00f126d2	PUNCT
cana-6093	39	16	https://pmc.ncbi.nlm.nih.gov/articles/pmc9137882/	https://pmc.ncbi.nlm.nih.gov/articles/pmc9137882/	PROPN
cana-6093	39	17	https://www.sciencedirect.com/science/article/abs/pii/s0045782523004620	https://www.sciencedirect.com/science/article/abs/pii/s0045782523004620	PROPN
cana-6093	39	18	https://repositories.lib.utexas.edu/items/2ee53396-ecb9-4ced-8f47-958e00f126d2	https://repositories.lib.utexas.edu/items/2ee53396-ecb9-4ced-8f47-958e00f126d2	PUNCT
cana-6093	39	19	https://pmc.ncbi.nlm.nih.gov/articles/pmc9137882/	https://pmc.ncbi.nlm.nih.gov/articles/pmc9137882/	PROPN
cana-6093	39	20	communications	communication	NOUN
cana-6093	39	21	on	on	ADP
cana-6093	39	22	applied	apply	VERB
cana-6093	39	23	nonlinear	nonlinear	ADJ
cana-6093	39	24	analysis	analysis	NOUN
cana-6093	39	25	issn	issn	NOUN
cana-6093	39	26	:	:	PUNCT
cana-6093	39	27	1074	1074	NUM
cana-6093	39	28	-	-	PUNCT
cana-6093	39	29	133x	133x	NUM
cana-6093	39	30	vol	vol	NOUN
cana-6093	39	31	31	31	NUM
cana-6093	39	32	no	no	NOUN
cana-6093	39	33	.	.	NOUN
cana-6093	39	34	1	1	NUM
cana-6093	39	35	(	(	PUNCT
cana-6093	39	36	2024	2024	NUM
cana-6093	39	37	)	)	PUNCT
cana-6093	39	38	367	367	NUM
cana-6093	39	39	https://internationalpubls.com	https://internationalpubls.com	SYM
cana-6093	39	40	2.2	2.2	NUM
cana-6093	39	41	bayesian	bayesian	NOUN
cana-6093	39	42	interpretation	interpretation	NOUN
cana-6093	39	43	and	and	CCONJ
cana-6093	39	44	uncertainty	uncertainty	NOUN
cana-6093	39	45	quantification	quantification	NOUN
cana-6093	39	46	the	the	DET
cana-6093	39	47	bayesian	bayesian	NOUN
cana-6093	39	48	framework	framework	NOUN
cana-6093	39	49	provides	provide	VERB
cana-6093	39	50	a	a	DET
cana-6093	39	51	probabilistic	probabilistic	ADJ
cana-6093	39	52	interpretation	interpretation	NOUN
cana-6093	39	53	of	of	ADP
cana-6093	39	54	inverse	inverse	NOUN
cana-6093	39	55	problems	problem	NOUN
cana-6093	39	56	,	,	PUNCT
cana-6093	39	57	treating	treat	VERB
cana-6093	39	58	all	all	DET
cana-6093	39	59	quantities	quantity	NOUN
cana-6093	39	60	as	as	ADP
cana-6093	39	61	random	random	ADJ
cana-6093	39	62	variables	variable	NOUN
cana-6093	39	63	19	19	NUM
cana-6093	39	64	.	.	PUNCT
cana-6093	40	1	according	accord	VERB
cana-6093	40	2	to	to	ADP
cana-6093	40	3	bayes	bayes	PROPN
cana-6093	40	4	'	'	PART
cana-6093	40	5	theorem	theorem	NOUN
cana-6093	40	6	:	:	PUNCT
cana-6093	40	7	p(x|y	p(x|y	NUM
cana-6093	40	8	)	)	PUNCT
cana-6093	40	9	∝	∝	PROPN
cana-6093	40	10	p(y|x)p(x	p(y|x)p(x	PROPN
cana-6093	40	11	)	)	PUNCT
cana-6093	40	12	where	where	SCONJ
cana-6093	40	13	p(x|y	p(x|y	NUM
cana-6093	40	14	)	)	PUNCT
cana-6093	40	15	is	be	AUX
cana-6093	40	16	the	the	DET
cana-6093	40	17	posterior	posterior	ADJ
cana-6093	40	18	distribution	distribution	NOUN
cana-6093	40	19	representing	represent	VERB
cana-6093	40	20	updated	update	VERB
cana-6093	40	21	beliefs	belief	NOUN
cana-6093	40	22	about	about	ADP
cana-6093	40	23	parameters	parameter	NOUN
cana-6093	40	24	after	after	ADP
cana-6093	40	25	observing	observe	VERB
cana-6093	40	26	data	datum	NOUN
cana-6093	40	27	,	,	PUNCT
cana-6093	40	28	p(y|x	p(y|x	NOUN
cana-6093	40	29	)	)	PUNCT
cana-6093	40	30	is	be	AUX
cana-6093	40	31	the	the	DET
cana-6093	40	32	likelihood	likelihood	NOUN
cana-6093	40	33	describing	describe	VERB
cana-6093	40	34	the	the	DET
cana-6093	40	35	probability	probability	NOUN
cana-6093	40	36	of	of	ADP
cana-6093	40	37	observations	observation	NOUN
cana-6093	40	38	given	give	VERB
cana-6093	40	39	parameters	parameter	NOUN
cana-6093	40	40	,	,	PUNCT
cana-6093	40	41	and	and	CCONJ
cana-6093	40	42	p(x	p(x	PROPN
cana-6093	40	43	)	)	PUNCT
cana-6093	40	44	is	be	AUX
cana-6093	40	45	the	the	DET
cana-6093	40	46	prior	prior	ADJ
cana-6093	40	47	distribution	distribution	NOUN
cana-6093	40	48	encoding	encode	VERB
cana-6093	40	49	knowledge	knowledge	NOUN
cana-6093	40	50	about	about	ADP
cana-6093	40	51	parameters	parameter	NOUN
cana-6093	40	52	before	before	ADP
cana-6093	40	53	observing	observe	VERB
cana-6093	40	54	data	datum	NOUN
cana-6093	40	55	9	9	NUM
cana-6093	40	56	.	.	PUNCT
cana-6093	41	1	the	the	DET
cana-6093	41	2	bayesian	bayesian	NOUN
cana-6093	41	3	approach	approach	NOUN
cana-6093	41	4	naturally	naturally	ADV
cana-6093	41	5	handles	handle	VERB
cana-6093	41	6	uncertainty	uncertainty	NOUN
cana-6093	41	7	quantification	quantification	NOUN
cana-6093	41	8	,	,	PUNCT
cana-6093	41	9	providing	provide	VERB
cana-6093	41	10	not	not	PART
cana-6093	41	11	just	just	ADV
cana-6093	41	12	point	point	NOUN
cana-6093	41	13	estimates	estimate	NOUN
cana-6093	41	14	but	but	CCONJ
cana-6093	41	15	entire	entire	ADJ
cana-6093	41	16	posterior	posterior	ADJ
cana-6093	41	17	distributions	distribution	NOUN
cana-6093	41	18	.	.	PUNCT
cana-6093	42	1	however	however	ADV
cana-6093	42	2	,	,	PUNCT
cana-6093	42	3	computational	computational	ADJ
cana-6093	42	4	challenges	challenge	NOUN
cana-6093	42	5	arise	arise	VERB
cana-6093	42	6	in	in	ADP
cana-6093	42	7	high	high	ADJ
cana-6093	42	8	dimensions	dimension	NOUN
cana-6093	42	9	where	where	SCONJ
cana-6093	42	10	sampling	sample	VERB
cana-6093	42	11	methods	method	NOUN
cana-6093	42	12	like	like	ADP
cana-6093	42	13	markov	markov	NOUN
cana-6093	42	14	chain	chain	NOUN
cana-6093	42	15	monte	monte	PROPN
cana-6093	42	16	carlo	carlo	PROPN
cana-6093	42	17	(	(	PUNCT
cana-6093	42	18	mcmc	mcmc	PROPN
cana-6093	42	19	)	)	PUNCT
cana-6093	42	20	become	become	VERB
cana-6093	42	21	prohibitively	prohibitively	ADV
cana-6093	42	22	expensive	expensive	ADJ
cana-6093	42	23	19	19	NUM
cana-6093	42	24	.	.	PUNCT
cana-6093	43	1	this	this	PRON
cana-6093	43	2	has	have	AUX
cana-6093	43	3	motivated	motivate	VERB
cana-6093	43	4	research	research	NOUN
cana-6093	43	5	into	into	ADP
cana-6093	43	6	approximate	approximate	ADJ
cana-6093	43	7	inference	inference	NOUN
cana-6093	43	8	methods	method	NOUN
cana-6093	43	9	,	,	PUNCT
cana-6093	43	10	including	include	VERB
cana-6093	43	11	variational	variational	ADJ
cana-6093	43	12	inference	inference	NOUN
cana-6093	43	13	and	and	CCONJ
cana-6093	43	14	sampling	sampling	NOUN
cana-6093	43	15	-	-	PUNCT
cana-6093	43	16	based	base	VERB
cana-6093	43	17	approaches	approach	NOUN
cana-6093	43	18	using	use	VERB
cana-6093	43	19	deep	deep	ADJ
cana-6093	43	20	generative	generative	ADJ
cana-6093	43	21	models	model	NOUN
cana-6093	43	22	.	.	PUNCT
cana-6093	44	1	2.3	2.3	NUM
cana-6093	44	2	generative	generative	ADJ
cana-6093	44	3	adversarial	adversarial	ADJ
cana-6093	44	4	networks	network	NOUN
cana-6093	44	5	(	(	PUNCT
cana-6093	44	6	gans	gan	NOUN
cana-6093	44	7	)	)	PUNCT
cana-6093	44	8	generative	generative	ADJ
cana-6093	44	9	adversarial	adversarial	ADJ
cana-6093	44	10	networks	network	NOUN
cana-6093	44	11	(	(	PUNCT
cana-6093	44	12	gans	gan	NOUN
cana-6093	44	13	)	)	PUNCT
cana-6093	44	14	consist	consist	NOUN
cana-6093	44	15	of	of	ADP
cana-6093	44	16	two	two	NUM
cana-6093	44	17	neural	neural	ADJ
cana-6093	44	18	networks	network	NOUN
cana-6093	44	19	a	a	DET
cana-6093	44	20	generator	generator	NOUN
cana-6093	44	21	g	g	NOUN
cana-6093	44	22	and	and	CCONJ
cana-6093	44	23	a	a	DET
cana-6093	44	24	discriminator	discriminator	NOUN
cana-6093	44	25	d	d	NOUN
cana-6093	44	26	trained	train	VERB
cana-6093	44	27	simultaneously	simultaneously	ADV
cana-6093	44	28	in	in	ADP
cana-6093	44	29	an	an	DET
cana-6093	44	30	adversarial	adversarial	ADJ
cana-6093	44	31	game	game	NOUN
cana-6093	44	32	6	6	NUM
cana-6093	44	33	.	.	PUNCT
cana-6093	45	1	the	the	DET
cana-6093	45	2	generator	generator	NOUN
cana-6093	45	3	maps	map	VERB
cana-6093	45	4	random	random	ADJ
cana-6093	45	5	noise	noise	NOUN
cana-6093	45	6	vectors	vector	NOUN
cana-6093	45	7	*	*	PUNCT
cana-6093	46	1	z	z	X
cana-6093	46	2	*	*	PUNCT
cana-6093	46	3	from	from	ADP
cana-6093	46	4	a	a	DET
cana-6093	46	5	prior	prior	ADJ
cana-6093	46	6	distribution	distribution	NOUN
cana-6093	46	7	p_z(z	p_z(z	NOUN
cana-6093	46	8	)	)	PUNCT
cana-6093	46	9	to	to	PART
cana-6093	46	10	synthetic	synthetic	VERB
cana-6093	46	11	samples	sample	NOUN
cana-6093	46	12	g(z	g(z	ADJ
cana-6093	46	13	)	)	PUNCT
cana-6093	46	14	that	that	PRON
cana-6093	46	15	resemble	resemble	VERB
cana-6093	46	16	real	real	ADJ
cana-6093	46	17	data	datum	NOUN
cana-6093	46	18	,	,	PUNCT
cana-6093	46	19	while	while	SCONJ
cana-6093	46	20	the	the	DET
cana-6093	46	21	discriminator	discriminator	NOUN
cana-6093	46	22	attempts	attempt	VERB
cana-6093	46	23	to	to	PART
cana-6093	46	24	distinguish	distinguish	VERB
cana-6093	46	25	between	between	ADP
cana-6093	46	26	real	real	ADJ
cana-6093	46	27	samples	sample	NOUN
cana-6093	46	28	from	from	ADP
cana-6093	46	29	p_data(x	p_data(x	NOUN
cana-6093	46	30	)	)	PUNCT
cana-6093	46	31	and	and	CCONJ
cana-6093	46	32	generated	generate	VERB
cana-6093	46	33	samples	sample	NOUN
cana-6093	46	34	g(z	g(z	PROPN
cana-6093	46	35	)	)	PUNCT
cana-6093	46	36	.	.	PUNCT
cana-6093	47	1	the	the	DET
cana-6093	47	2	training	training	NOUN
cana-6093	47	3	objective	objective	NOUN
cana-6093	47	4	follows	follow	VERB
cana-6093	47	5	a	a	DET
cana-6093	47	6	minimax	minimax	NOUN
cana-6093	47	7	game	game	NOUN
cana-6093	47	8	:	:	PUNCT
cana-6093	47	9	min_g	min_g	ADJ
cana-6093	47	10	max_d	max_d	NOUN
cana-6093	48	1	[	[	X
cana-6093	48	2	e_{x∼p_data}[log	e_{x∼p_data}[log	NOUN
cana-6093	48	3	d(x	d(x	PROPN
cana-6093	48	4	)	)	PUNCT
cana-6093	48	5	]	]	PUNCT
cana-6093	49	1	+	+	CCONJ
cana-6093	49	2	e_{z∼p_z}[log(1	e_{z∼p_z}[log(1	VERB
cana-6093	49	3	d(g(z	d(g(z	NOUN
cana-6093	49	4	)	)	PUNCT
cana-6093	49	5	)	)	PUNCT
cana-6093	49	6	)	)	PUNCT
cana-6093	50	1	]	]	PUNCT
cana-6093	50	2	]	]	X
cana-6093	50	3	in	in	ADP
cana-6093	50	4	equilibrium	equilibrium	NOUN
cana-6093	50	5	,	,	PUNCT
cana-6093	50	6	the	the	DET
cana-6093	50	7	generator	generator	NOUN
cana-6093	50	8	produces	produce	VERB
cana-6093	50	9	samples	sample	NOUN
cana-6093	50	10	indistinguishable	indistinguishable	ADJ
cana-6093	50	11	from	from	ADP
cana-6093	50	12	real	real	ADJ
cana-6093	50	13	data	datum	NOUN
cana-6093	50	14	,	,	PUNCT
cana-6093	50	15	and	and	CCONJ
cana-6093	50	16	the	the	DET
cana-6093	50	17	discriminator	discriminator	NOUN
cana-6093	50	18	predicts	predict	VERB
cana-6093	50	19	0.5	0.5	NUM
cana-6093	50	20	everywhere	everywhere	ADV
cana-6093	50	21	6	6	NUM
cana-6093	50	22	.	.	X
cana-6093	51	1	for	for	ADP
cana-6093	51	2	inverse	inverse	NOUN
cana-6093	51	3	problems	problem	NOUN
cana-6093	51	4	,	,	PUNCT
cana-6093	51	5	conditional	conditional	ADJ
cana-6093	51	6	gans	gan	NOUN
cana-6093	51	7	(	(	PUNCT
cana-6093	51	8	cgans	cgans	PROPN
cana-6093	51	9	)	)	PUNCT
cana-6093	51	10	are	be	AUX
cana-6093	51	11	particularly	particularly	ADV
cana-6093	51	12	relevant	relevant	ADJ
cana-6093	51	13	as	as	SCONJ
cana-6093	51	14	they	they	PRON
cana-6093	51	15	generate	generate	VERB
cana-6093	51	16	samples	sample	NOUN
cana-6093	51	17	conditioned	condition	VERB
cana-6093	51	18	on	on	ADP
cana-6093	51	19	additional	additional	ADJ
cana-6093	51	20	information	information	NOUN
cana-6093	51	21	,	,	PUNCT
cana-6093	51	22	such	such	ADJ
cana-6093	51	23	as	as	ADP
cana-6093	51	24	measurement	measurement	NOUN
cana-6093	51	25	data	datum	NOUN
cana-6093	51	26	*	*	PUNCT
cana-6093	51	27	y	y	PROPN
cana-6093	51	28	*	*	PROPN
cana-6093	51	29	18	18	NUM
cana-6093	51	30	.	.	PUNCT
cana-6093	51	31	aspect	aspect	VERB
cana-6093	51	32	traditional	traditional	ADJ
cana-6093	51	33	methods	method	NOUN
cana-6093	51	34	gan	gan	VERB
cana-6093	51	35	-	-	PUNCT
cana-6093	51	36	based	base	VERB
cana-6093	51	37	approaches	approach	NOUN
cana-6093	51	38	prior	prior	ADJ
cana-6093	51	39	representation	representation	NOUN
cana-6093	51	40	explicit	explicit	ADJ
cana-6093	51	41	analytical	analytical	ADJ
cana-6093	51	42	forms	form	NOUN
cana-6093	51	43	(	(	PUNCT
cana-6093	51	44	e.g.	e.g.	ADV
cana-6093	51	45	,	,	PUNCT
cana-6093	51	46	smoothness	smoothness	ADJ
cana-6093	51	47	,	,	PUNCT
cana-6093	51	48	sparsity	sparsity	NOUN
cana-6093	51	49	)	)	PUNCT
cana-6093	51	50	implicitly	implicitly	ADV
cana-6093	51	51	learned	learn	VERB
cana-6093	51	52	from	from	ADP
cana-6093	51	53	data	data	NOUN
cana-6093	51	54	computational	computational	ADJ
cana-6093	51	55	cost	cost	NOUN
cana-6093	51	56	high	high	ADJ
cana-6093	51	57	(	(	PUNCT
cana-6093	51	58	iterative	iterative	NOUN
cana-6093	51	59	optimization	optimization	NOUN
cana-6093	51	60	)	)	PUNCT
cana-6093	51	61	low	low	ADV
cana-6093	51	62	after	after	ADP
cana-6093	51	63	training	training	NOUN
cana-6093	51	64	(	(	PUNCT
cana-6093	51	65	forward	forward	ADV
cana-6093	51	66	pass	pass	NOUN
cana-6093	51	67	)	)	PUNCT
cana-6093	51	68	uncertainty	uncertainty	NOUN
cana-6093	51	69	quantification	quantification	NOUN
cana-6093	51	70	challenging	challenging	ADJ
cana-6093	51	71	,	,	PUNCT
cana-6093	51	72	often	often	ADV
cana-6093	51	73	limited	limit	VERB
cana-6093	51	74	possible	possible	ADJ
cana-6093	51	75	through	through	ADP
cana-6093	51	76	sampling	sample	VERB
cana-6093	51	77	handling	handle	VERB
cana-6093	51	78	complex	complex	ADJ
cana-6093	51	79	priors	prior	NOUN
cana-6093	51	80	limited	limit	VERB
cana-6093	51	81	to	to	ADP
cana-6093	51	82	designed	design	VERB
cana-6093	51	83	regularizers	regularizer	NOUN
cana-6093	51	84	can	can	AUX
cana-6093	51	85	capture	capture	VERB
cana-6093	51	86	complex	complex	ADJ
cana-6093	51	87	,	,	PUNCT
cana-6093	51	88	multi	multi	ADJ
cana-6093	51	89	-	-	ADJ
cana-6093	51	90	modal	modal	ADJ
cana-6093	51	91	distributions	distribution	NOUN
cana-6093	51	92	training	training	NOUN
cana-6093	51	93	requirements	requirement	NOUN
cana-6093	51	94	no	no	DET
cana-6093	51	95	training	training	NOUN
cana-6093	51	96	needed	need	VERB
cana-6093	51	97	requires	require	VERB
cana-6093	51	98	extensive	extensive	ADJ
cana-6093	51	99	training	training	NOUN
cana-6093	51	100	data	datum	NOUN
cana-6093	51	101	theoretical	theoretical	ADJ
cana-6093	51	102	guarantees	guarantee	NOUN
cana-6093	51	103	well	well	ADV
cana-6093	51	104	-	-	PUNCT
cana-6093	51	105	established	establish	VERB
cana-6093	51	106	theory	theory	NOUN
cana-6093	51	107	emerging	emerge	VERB
cana-6093	51	108	theoretical	theoretical	ADJ
cana-6093	51	109	understanding	understanding	NOUN
cana-6093	51	110	table	table	NOUN
cana-6093	51	111	1	1	NUM
cana-6093	51	112	:	:	PUNCT
cana-6093	51	113	comparison	comparison	NOUN
cana-6093	51	114	of	of	ADP
cana-6093	51	115	traditional	traditional	ADJ
cana-6093	51	116	and	and	CCONJ
cana-6093	51	117	gan	gin	VERB
cana-6093	51	118	-	-	PUNCT
cana-6093	51	119	based	base	VERB
cana-6093	51	120	approaches	approach	NOUN
cana-6093	51	121	to	to	ADP
cana-6093	51	122	inverse	inverse	NOUN
cana-6093	51	123	problems	problem	NOUN
cana-6093	51	124	3.gan	3.gan	NUM
cana-6093	51	125	frameworks	framework	NOUN
cana-6093	51	126	for	for	ADP
cana-6093	51	127	inverse	inverse	NOUN
cana-6093	51	128	problems	problem	NOUN
cana-6093	51	129	3.1	3.1	NUM
cana-6093	51	130	conditional	conditional	ADJ
cana-6093	51	131	gans	gan	NOUN
cana-6093	51	132	for	for	ADP
cana-6093	51	133	inverse	inverse	NOUN
cana-6093	51	134	problems	problem	NOUN
cana-6093	51	135	conditional	conditional	ADJ
cana-6093	51	136	generative	generative	ADJ
cana-6093	51	137	adversarial	adversarial	ADJ
cana-6093	51	138	networks	network	NOUN
cana-6093	51	139	(	(	PUNCT
cana-6093	51	140	cgans	cgans	PROPN
cana-6093	51	141	)	)	PUNCT
cana-6093	51	142	extend	extend	VERB
cana-6093	51	143	the	the	DET
cana-6093	51	144	standard	standard	ADJ
cana-6093	51	145	gan	gan	ADJ
cana-6093	51	146	framework	framework	NOUN
cana-6093	51	147	by	by	ADP
cana-6093	51	148	incorporating	incorporate	VERB
cana-6093	51	149	additional	additional	ADJ
cana-6093	51	150	information	information	NOUN
cana-6093	51	151	as	as	ADP
cana-6093	51	152	conditioning	conditioning	NOUN
cana-6093	51	153	inputs	input	NOUN
cana-6093	51	154	to	to	ADP
cana-6093	51	155	both	both	DET
cana-6093	51	156	generator	generator	NOUN
cana-6093	51	157	and	and	CCONJ
cana-6093	51	158	discriminator	discriminator	NOUN
cana-6093	51	159	18	18	NUM
cana-6093	51	160	.	.	PUNCT
cana-6093	52	1	for	for	ADP
cana-6093	52	2	inverse	inverse	NOUN
cana-6093	52	3	problems	problem	NOUN
cana-6093	52	4	,	,	PUNCT
cana-6093	52	5	this	this	DET
cana-6093	52	6	https://www.sciencedirect.com/science/article/abs/pii/s0045782523004620	https://www.sciencedirect.com/science/article/abs/pii/s0045782523004620	PROPN
cana-6093	52	7	https://pmc.ncbi.nlm.nih.gov/articles/pmc12177523/	https://pmc.ncbi.nlm.nih.gov/articles/pmc12177523/	PROPN
cana-6093	52	8	https://pmc.ncbi.nlm.nih.gov/articles/pmc12177523/	https://pmc.ncbi.nlm.nih.gov/articles/pmc12177523/	PROPN
cana-6093	52	9	https://www.sciencedirect.com/science/article/abs/pii/s0045782523004620	https://www.sciencedirect.com/science/article/abs/pii/s0045782523004620	PROPN
cana-6093	52	10	https://pmc.ncbi.nlm.nih.gov/articles/pmc12177523/	https://pmc.ncbi.nlm.nih.gov/articles/pmc12177523/	PROPN
cana-6093	52	11	https://arxiv.org/html/2506.18002v1	https://arxiv.org/html/2506.18002v1	PROPN
cana-6093	52	12	https://arxiv.org/html/2506.18002v1	https://arxiv.org/html/2506.18002v1	NOUN
cana-6093	52	13	https://www.sciencedirect.com/science/article/abs/pii/s0045782523004620	https://www.sciencedirect.com/science/article/abs/pii/s0045782523004620	NOUN
cana-6093	52	14	https://www.sciencedirect.com/science/article/abs/pii/s0266352x24005020	https://www.sciencedirect.com/science/article/abs/pii/s0266352x24005020	NOUN
cana-6093	52	15	https://www.sciencedirect.com/science/article/abs/pii/s0045782523004620	https://www.sciencedirect.com/science/article/abs/pii/s0045782523004620	NOUN
cana-6093	52	16	https://www.sciencedirect.com/science/article/abs/pii/s0266352x24005020	https://www.sciencedirect.com/science/article/abs/pii/s0266352x24005020	NOUN
cana-6093	52	17	communications	communication	NOUN
cana-6093	52	18	on	on	ADP
cana-6093	52	19	applied	apply	VERB
cana-6093	52	20	nonlinear	nonlinear	ADJ
cana-6093	52	21	analysis	analysis	NOUN
cana-6093	52	22	issn	issn	NOUN
cana-6093	52	23	:	:	PUNCT
cana-6093	52	24	1074	1074	NUM
cana-6093	52	25	-	-	PUNCT
cana-6093	52	26	133x	133x	NUM
cana-6093	52	27	vol	vol	NOUN
cana-6093	52	28	31	31	NUM
cana-6093	52	29	no	no	NOUN
cana-6093	52	30	.	.	NOUN
cana-6093	52	31	1	1	NUM
cana-6093	52	32	(	(	PUNCT
cana-6093	52	33	2024	2024	NUM
cana-6093	52	34	)	)	PUNCT
cana-6093	52	35	368	368	NUM
cana-6093	52	36	https://internationalpubls.com	https://internationalpubls.com	X
cana-6093	52	37	conditioning	condition	VERB
cana-6093	52	38	information	information	NOUN
cana-6093	52	39	typically	typically	ADV
cana-6093	52	40	consists	consist	VERB
cana-6093	52	41	of	of	ADP
cana-6093	52	42	the	the	DET
cana-6093	52	43	measurement	measurement	NOUN
cana-6093	52	44	data	datum	NOUN
cana-6093	52	45	*	*	PUNCT
cana-6093	52	46	y	y	X
cana-6093	52	47	*	*	PUNCT
cana-6093	52	48	,	,	PUNCT
cana-6093	52	49	enabling	enable	VERB
cana-6093	52	50	the	the	DET
cana-6093	52	51	generator	generator	NOUN
cana-6093	52	52	to	to	PART
cana-6093	52	53	produce	produce	VERB
cana-6093	52	54	parameter	parameter	NOUN
cana-6093	52	55	estimates	estimate	NOUN
cana-6093	52	56	*	*	PUNCT
cana-6093	52	57	x	x	X
cana-6093	52	58	*	*	NOUN
cana-6093	52	59	that	that	PRON
cana-6093	52	60	are	be	AUX
cana-6093	52	61	consistent	consistent	ADJ
cana-6093	52	62	with	with	ADP
cana-6093	52	63	observations	observation	NOUN
cana-6093	52	64	.	.	PUNCT
cana-6093	53	1	the	the	DET
cana-6093	53	2	objective	objective	ADJ
cana-6093	53	3	function	function	NOUN
cana-6093	53	4	for	for	ADP
cana-6093	53	5	cgans	cgan	NOUN
cana-6093	53	6	becomes	become	VERB
cana-6093	53	7	:	:	PUNCT
cana-6093	53	8	min_g	min_g	ADJ
cana-6093	53	9	max_d	max_d	NOUN
cana-6093	54	1	[	[	X
cana-6093	54	2	e_{x∼p_data}[log	e_{x∼p_data}[log	NOUN
cana-6093	54	3	d(x|y	d(x|y	NOUN
cana-6093	54	4	)	)	PUNCT
cana-6093	54	5	]	]	PUNCT
cana-6093	55	1	+	+	CCONJ
cana-6093	55	2	e_{z∼p_z}[log(1	e_{z∼p_z}[log(1	NOUN
cana-6093	55	3	d(g(z|y)|y	d(g(z|y)|y	NUM
cana-6093	55	4	)	)	PUNCT
cana-6093	55	5	)	)	PUNCT
cana-6093	55	6	]	]	PUNCT
cana-6093	55	7	]	]	X
cana-6093	55	8	where	where	SCONJ
cana-6093	55	9	g(z|y	g(z|y	NOUN
cana-6093	55	10	)	)	PUNCT
cana-6093	55	11	generates	generate	VERB
cana-6093	55	12	samples	sample	NOUN
cana-6093	55	13	conditioned	condition	VERB
cana-6093	55	14	on	on	ADP
cana-6093	55	15	measurements	measurement	NOUN
cana-6093	55	16	*	*	PUNCT
cana-6093	55	17	y	y	X
cana-6093	55	18	*	*	NOUN
cana-6093	55	19	,	,	PUNCT
cana-6093	55	20	and	and	CCONJ
cana-6093	55	21	d(x|y	d(x|y	NUM
cana-6093	55	22	)	)	PUNCT
cana-6093	55	23	evaluates	evaluate	VERB
cana-6093	55	24	the	the	DET
cana-6093	55	25	authenticity	authenticity	NOUN
cana-6093	55	26	of	of	ADP
cana-6093	55	27	*	*	PUNCT
cana-6093	55	28	x	x	X
cana-6093	55	29	*	*	PUNCT
cana-6093	55	30	given	give	VERB
cana-6093	55	31	*	*	PROPN
cana-6093	55	32	y	y	NOUN
cana-6093	55	33	*	*	PROPN
cana-6093	55	34	8	8	NUM
cana-6093	55	35	.	.	PUNCT
cana-6093	56	1	this	this	DET
cana-6093	56	2	approach	approach	NOUN
cana-6093	56	3	allows	allow	VERB
cana-6093	56	4	direct	direct	ADJ
cana-6093	56	5	learning	learning	NOUN
cana-6093	56	6	of	of	ADP
cana-6093	56	7	the	the	DET
cana-6093	56	8	inverse	inverse	NOUN
cana-6093	56	9	mapping	mapping	NOUN
cana-6093	56	10	from	from	ADP
cana-6093	56	11	measurements	measurement	NOUN
cana-6093	56	12	to	to	ADP
cana-6093	56	13	parameters	parameter	NOUN
cana-6093	56	14	without	without	ADP
cana-6093	56	15	explicit	explicit	ADJ
cana-6093	56	16	formulation	formulation	NOUN
cana-6093	56	17	of	of	ADP
cana-6093	56	18	the	the	DET
cana-6093	56	19	forward	forward	ADJ
cana-6093	56	20	model	model	NOUN
cana-6093	56	21	during	during	ADP
cana-6093	56	22	inference	inference	NOUN
cana-6093	56	23	.	.	PUNCT
cana-6093	57	1	kim	kim	PROPN
cana-6093	57	2	et	et	PROPN
cana-6093	57	3	al	al	PROPN
cana-6093	57	4	.	.	PROPN
cana-6093	57	5	demonstrated	demonstrate	VERB
cana-6093	57	6	the	the	DET
cana-6093	57	7	effectiveness	effectiveness	NOUN
cana-6093	57	8	of	of	ADP
cana-6093	57	9	cgans	cgan	NOUN
cana-6093	57	10	for	for	ADP
cana-6093	57	11	seismic	seismic	ADJ
cana-6093	57	12	inverse	inverse	NOUN
cana-6093	57	13	problems	problem	NOUN
cana-6093	57	14	,	,	PUNCT
cana-6093	57	15	generating	generating	NOUN
cana-6093	57	16	accelerograms	accelerogram	NOUN
cana-6093	57	17	conditioned	condition	VERB
cana-6093	57	18	on	on	ADP
cana-6093	57	19	pseudo	pseudo	NOUN
cana-6093	57	20	-	-	ADJ
cana-6093	57	21	spectral	spectral	ADJ
cana-6093	57	22	acceleration	acceleration	NOUN
cana-6093	57	23	(	(	PUNCT
cana-6093	57	24	psa	psa	NOUN
cana-6093	57	25	)	)	PUNCT
cana-6093	57	26	values	value	NOUN
cana-6093	57	27	8	8	NUM
cana-6093	57	28	.	.	PUNCT
cana-6093	58	1	their	their	PRON
cana-6093	58	2	model	model	NOUN
cana-6093	58	3	produced	produce	VERB
cana-6093	58	4	realistic	realistic	ADJ
cana-6093	58	5	time	time	NOUN
cana-6093	58	6	histories	history	NOUN
cana-6093	58	7	that	that	PRON
cana-6093	58	8	matched	match	VERB
cana-6093	58	9	target	target	NOUN
cana-6093	58	10	response	response	NOUN
cana-6093	58	11	spectra	spectra	NOUN
cana-6093	58	12	while	while	SCONJ
cana-6093	58	13	capturing	capture	VERB
cana-6093	58	14	the	the	DET
cana-6093	58	15	complex	complex	ADJ
cana-6093	58	16	statistical	statistical	ADJ
cana-6093	58	17	characteristics	characteristic	NOUN
cana-6093	58	18	of	of	ADP
cana-6093	58	19	earthquake	earthquake	NOUN
cana-6093	58	20	ground	ground	NOUN
cana-6093	58	21	motions	motion	NOUN
cana-6093	58	22	.	.	PUNCT
cana-6093	59	1	3.2	3.2	NUM
cana-6093	59	2	wasserstein	wasserstein	NOUN
cana-6093	59	3	gans	gan	NOUN
cana-6093	59	4	with	with	ADP
cana-6093	59	5	gradient	gradient	ADJ
cana-6093	59	6	penalty	penalty	NOUN
cana-6093	59	7	training	training	NOUN
cana-6093	59	8	stability	stability	NOUN
cana-6093	59	9	has	have	AUX
cana-6093	59	10	been	be	AUX
cana-6093	59	11	a	a	DET
cana-6093	59	12	persistent	persistent	ADJ
cana-6093	59	13	challenge	challenge	NOUN
cana-6093	59	14	in	in	ADP
cana-6093	59	15	gans	gan	NOUN
cana-6093	59	16	,	,	PUNCT
cana-6093	59	17	often	often	ADV
cana-6093	59	18	requiring	require	VERB
cana-6093	59	19	careful	careful	ADJ
cana-6093	59	20	balancing	balancing	NOUN
cana-6093	59	21	of	of	ADP
cana-6093	59	22	generator	generator	NOUN
cana-6093	59	23	and	and	CCONJ
cana-6093	59	24	discriminator	discriminator	NOUN
cana-6093	59	25	capabilities	capability	NOUN
cana-6093	59	26	.	.	PUNCT
cana-6093	60	1	the	the	DET
cana-6093	60	2	wasserstein	wasserstein	NOUN
cana-6093	60	3	gan	gan	PROPN
cana-6093	60	4	(	(	PUNCT
cana-6093	60	5	wgan	wgan	ADJ
cana-6093	60	6	)	)	PUNCT
cana-6093	60	7	addresses	address	NOUN
cana-6093	60	8	this	this	PRON
cana-6093	60	9	by	by	ADP
cana-6093	60	10	using	use	VERB
cana-6093	60	11	the	the	DET
cana-6093	60	12	earth	earth	NOUN
cana-6093	60	13	-	-	PUNCT
cana-6093	60	14	mover	mover	NOUN
cana-6093	60	15	distance	distance	NOUN
cana-6093	60	16	(	(	PUNCT
cana-6093	60	17	wasserstein-1	wasserstein-1	NOUN
cana-6093	60	18	)	)	PUNCT
cana-6093	60	19	as	as	ADP
cana-6093	60	20	the	the	DET
cana-6093	60	21	loss	loss	NOUN
cana-6093	60	22	function	function	NOUN
cana-6093	60	23	,	,	PUNCT
cana-6093	60	24	which	which	PRON
cana-6093	60	25	provides	provide	VERB
cana-6093	60	26	more	more	ADV
cana-6093	60	27	meaningful	meaningful	ADJ
cana-6093	60	28	training	training	NOUN
cana-6093	60	29	signals	signal	NOUN
cana-6093	60	30	and	and	CCONJ
cana-6093	60	31	better	well	ADJ
cana-6093	60	32	correlation	correlation	NOUN
cana-6093	60	33	with	with	ADP
cana-6093	60	34	sample	sample	NOUN
cana-6093	60	35	quality	quality	NOUN
cana-6093	60	36	1	1	NUM
cana-6093	60	37	.	.	PUNCT
cana-6093	60	38	wgan	wgan	VERB
cana-6093	60	39	with	with	ADP
cana-6093	60	40	gradient	gradient	ADJ
cana-6093	60	41	penalty	penalty	NOUN
cana-6093	60	42	(	(	PUNCT
cana-6093	60	43	wgan	wgan	VERB
cana-6093	60	44	-	-	PUNCT
cana-6093	60	45	gp	gp	NOUN
cana-6093	60	46	)	)	PUNCT
cana-6093	60	47	further	far	ADV
cana-6093	60	48	improves	improve	VERB
cana-6093	60	49	stability	stability	NOUN
cana-6093	60	50	by	by	ADP
cana-6093	60	51	enforcing	enforce	VERB
cana-6093	60	52	a	a	DET
cana-6093	60	53	lipschitz	lipschitz	NOUN
cana-6093	60	54	constraint	constraint	NOUN
cana-6093	60	55	through	through	ADP
cana-6093	60	56	a	a	DET
cana-6093	60	57	penalty	penalty	NOUN
cana-6093	60	58	on	on	ADP
cana-6093	60	59	the	the	DET
cana-6093	60	60	gradient	gradient	ADJ
cana-6093	60	61	norm	norm	NOUN
cana-6093	60	62	of	of	ADP
cana-6093	60	63	the	the	DET
cana-6093	60	64	discriminator	discriminator	NOUN
cana-6093	60	65	1	1	NUM
cana-6093	60	66	.	.	PUNCT
cana-6093	61	1	the	the	DET
cana-6093	61	2	objective	objective	ADJ
cana-6093	61	3	function	function	NOUN
cana-6093	61	4	becomes	become	VERB
cana-6093	61	5	:	:	PUNCT
cana-6093	61	6	min_g	min_g	ADJ
cana-6093	61	7	max_d	max_d	NOUN
cana-6093	61	8	[	[	X
cana-6093	61	9	e_{x∼p_data}[d(x|y	e_{x∼p_data}[d(x|y	NOUN
cana-6093	61	10	)	)	PUNCT
cana-6093	61	11	]	]	PUNCT
cana-6093	61	12	e_{z∼p_z}[d(g(z|y)|y	e_{z∼p_z}[d(g(z|y)|y	NOUN
cana-6093	61	13	)	)	PUNCT
cana-6093	61	14	]	]	PUNCT
cana-6093	62	1	+	+	CCONJ
cana-6093	62	2	λ_gp	λ_gp	VERB
cana-6093	62	3	e_{x̂∼p_x̂}[(||∇_{x̂}d(x̂|y)||₂	e_{x̂∼p_x̂}[(||∇_{x̂}d(x̂|y)||₂	NOUN
cana-6093	62	4	1)²	1)²	NUM
cana-6093	62	5	]	]	X
cana-6093	62	6	]	]	PUNCT
cana-6093	62	7	where	where	SCONJ
cana-6093	62	8	x̂	x̂	NOUN
cana-6093	62	9	represents	represent	VERB
cana-6093	62	10	interpolated	interpolate	VERB
cana-6093	62	11	points	point	NOUN
cana-6093	62	12	between	between	ADP
cana-6093	62	13	real	real	ADJ
cana-6093	62	14	and	and	CCONJ
cana-6093	62	15	generated	generate	VERB
cana-6093	62	16	samples	sample	NOUN
cana-6093	62	17	,	,	PUNCT
cana-6093	62	18	and	and	CCONJ
cana-6093	62	19	λ_gp	λ_gp	VERB
cana-6093	62	20	controls	control	VERB
cana-6093	62	21	the	the	DET
cana-6093	62	22	gradient	gradient	NOUN
cana-6093	62	23	penalty	penalty	NOUN
cana-6093	62	24	strength	strength	NOUN
cana-6093	62	25	1	1	NUM
cana-6093	62	26	.	.	PUNCT
cana-6093	62	27	improved	improve	VERB
cana-6093	62	28	cwgan	cwgan	ADJ
cana-6093	62	29	formulations	formulation	NOUN
cana-6093	62	30	with	with	ADP
cana-6093	62	31	full	full	ADJ
cana-6093	62	32	gradient	gradient	NOUN
cana-6093	62	33	penalty	penalty	NOUN
cana-6093	62	34	(	(	PUNCT
cana-6093	62	35	full	full	ADJ
cana-6093	62	36	-	-	PUNCT
cana-6093	62	37	gp	gp	NOUN
cana-6093	62	38	)	)	PUNCT
cana-6093	62	39	have	have	AUX
cana-6093	62	40	shown	show	VERB
cana-6093	62	41	superior	superior	ADJ
cana-6093	62	42	performance	performance	NOUN
cana-6093	62	43	in	in	ADP
cana-6093	62	44	physics	physics	NOUN
cana-6093	62	45	-	-	PUNCT
cana-6093	62	46	based	base	VERB
cana-6093	62	47	inverse	inverse	NOUN
cana-6093	62	48	problems	problem	NOUN
cana-6093	62	49	compared	compare	VERB
cana-6093	62	50	to	to	ADP
cana-6093	62	51	partial	partial	ADJ
cana-6093	62	52	gradient	gradient	NOUN
cana-6093	62	53	penalty	penalty	NOUN
cana-6093	62	54	approaches	approach	VERB
cana-6093	62	55	1	1	NUM
cana-6093	62	56	.	.	PUNCT
cana-6093	62	57	by	by	ADP
cana-6093	62	58	requiring	require	VERB
cana-6093	62	59	the	the	DET
cana-6093	62	60	critic	critic	NOUN
cana-6093	62	61	to	to	PART
cana-6093	62	62	be	be	AUX
cana-6093	62	63	1	1	NUM
cana-6093	62	64	-	-	PUNCT
cana-6093	62	65	lipschitz	lipschitz	NOUN
cana-6093	62	66	with	with	ADP
cana-6093	62	67	respect	respect	NOUN
cana-6093	62	68	to	to	ADP
cana-6093	62	69	all	all	DET
cana-6093	62	70	inputs	input	NOUN
cana-6093	62	71	(	(	PUNCT
cana-6093	62	72	both	both	PRON
cana-6093	62	73	parameters	parameter	NOUN
cana-6093	62	74	and	and	CCONJ
cana-6093	62	75	measurements	measurement	NOUN
cana-6093	62	76	)	)	PUNCT
cana-6093	62	77	,	,	PUNCT
cana-6093	62	78	full	full	ADJ
cana-6093	62	79	-	-	PUNCT
cana-6093	62	80	gp	gp	NOUN
cana-6093	62	81	cwgans	cwgan	NOUN
cana-6093	62	82	provide	provide	VERB
cana-6093	62	83	stronger	strong	ADJ
cana-6093	62	84	convergence	convergence	NOUN
cana-6093	62	85	guarantees	guarantee	NOUN
cana-6093	62	86	and	and	CCONJ
cana-6093	62	87	better	well	ADJ
cana-6093	62	88	approximation	approximation	NOUN
cana-6093	62	89	of	of	ADP
cana-6093	62	90	true	true	ADJ
cana-6093	62	91	posterior	posterior	ADJ
cana-6093	62	92	distributions	distribution	NOUN
cana-6093	62	93	.	.	PUNCT
cana-6093	63	1	3.3	3.3	NUM
cana-6093	63	2	physics	physics	NOUN
cana-6093	63	3	-	-	PUNCT
cana-6093	63	4	informed	inform	VERB
cana-6093	63	5	adversarial	adversarial	ADJ
cana-6093	63	6	approaches	approach	NOUN
cana-6093	63	7	physics	physics	NOUN
cana-6093	63	8	-	-	PUNCT
cana-6093	63	9	informed	inform	VERB
cana-6093	63	10	gans	gan	NOUN
cana-6093	63	11	integrate	integrate	VERB
cana-6093	63	12	physical	physical	ADJ
cana-6093	63	13	knowledge	knowledge	NOUN
cana-6093	63	14	into	into	ADP
cana-6093	63	15	the	the	DET
cana-6093	63	16	adversarial	adversarial	ADJ
cana-6093	63	17	training	training	NOUN
cana-6093	63	18	process	process	NOUN
cana-6093	63	19	,	,	PUNCT
cana-6093	63	20	ensuring	ensure	VERB
cana-6093	63	21	generated	generate	VERB
cana-6093	63	22	samples	sample	NOUN
cana-6093	63	23	satisfy	satisfy	VERB
cana-6093	63	24	physical	physical	ADJ
cana-6093	63	25	constraints	constraint	NOUN
cana-6093	63	26	4	4	NUM
cana-6093	63	27	.	.	PUNCT
cana-6093	64	1	this	this	DET
cana-6093	64	2	approach	approach	NOUN
cana-6093	64	3	is	be	AUX
cana-6093	64	4	particularly	particularly	ADV
cana-6093	64	5	valuable	valuable	ADJ
cana-6093	64	6	for	for	ADP
cana-6093	64	7	inverse	inverse	NOUN
cana-6093	64	8	problems	problem	NOUN
cana-6093	64	9	where	where	SCONJ
cana-6093	64	10	physical	physical	ADJ
cana-6093	64	11	principles	principle	NOUN
cana-6093	64	12	govern	govern	VERB
cana-6093	64	13	the	the	DET
cana-6093	64	14	relationship	relationship	NOUN
cana-6093	64	15	between	between	ADP
cana-6093	64	16	parameters	parameter	NOUN
cana-6093	64	17	and	and	CCONJ
cana-6093	64	18	measurements	measurement	NOUN
cana-6093	64	19	.	.	PUNCT
cana-6093	65	1	the	the	DET
cana-6093	65	2	generator	generator	NOUN
cana-6093	65	3	loss	loss	NOUN
cana-6093	65	4	can	can	AUX
cana-6093	65	5	be	be	AUX
cana-6093	65	6	augmented	augment	VERB
cana-6093	65	7	with	with	ADP
cana-6093	65	8	physics	physics	NOUN
cana-6093	65	9	-	-	PUNCT
cana-6093	65	10	based	base	VERB
cana-6093	65	11	constraints	constraint	NOUN
cana-6093	65	12	:	:	PUNCT
cana-6093	65	13	l_g	l_g	PUNCT
cana-6093	66	1	=	=	PUNCT
cana-6093	66	2	l_adv	l_adv	NOUN
cana-6093	66	3	+	+	NOUN
cana-6093	66	4	λ_phy	λ_phy	X
cana-6093	67	1	l_phy	l_phy	ADV
cana-6093	67	2	where	where	SCONJ
cana-6093	67	3	l_adv	l_adv	NOUN
cana-6093	67	4	is	be	AUX
cana-6093	67	5	the	the	DET
cana-6093	67	6	standard	standard	ADJ
cana-6093	67	7	adversarial	adversarial	ADJ
cana-6093	67	8	loss	loss	NOUN
cana-6093	67	9	,	,	PUNCT
cana-6093	67	10	l_phy	l_phy	PRON
cana-6093	67	11	enforces	enforce	VERB
cana-6093	67	12	physical	physical	ADJ
cana-6093	67	13	consistency	consistency	NOUN
cana-6093	67	14	,	,	PUNCT
cana-6093	67	15	and	and	CCONJ
cana-6093	67	16	λ_phy	λ_phy	PRON
cana-6093	67	17	controls	control	VERB
cana-6093	67	18	the	the	DET
cana-6093	67	19	constraint	constraint	NOUN
cana-6093	67	20	strength	strength	NOUN
cana-6093	67	21	4	4	NUM
cana-6093	67	22	.	.	PUNCT
cana-6093	68	1	physical	physical	ADJ
cana-6093	68	2	constraints	constraint	NOUN
cana-6093	68	3	may	may	AUX
cana-6093	68	4	include	include	VERB
cana-6093	68	5	partial	partial	ADJ
cana-6093	68	6	differential	differential	ADJ
cana-6093	68	7	equations	equation	NOUN
cana-6093	68	8	governing	govern	VERB
cana-6093	68	9	the	the	DET
cana-6093	68	10	system	system	NOUN
cana-6093	68	11	,	,	PUNCT
cana-6093	68	12	boundary	boundary	ADJ
cana-6093	68	13	conditions	condition	NOUN
cana-6093	68	14	,	,	PUNCT
cana-6093	68	15	or	or	CCONJ
cana-6093	68	16	other	other	ADJ
cana-6093	68	17	known	know	VERB
cana-6093	68	18	physical	physical	ADJ
cana-6093	68	19	relationships	relationship	NOUN
cana-6093	68	20	.	.	PUNCT
cana-6093	69	1	for	for	ADP
cana-6093	69	2	example	example	NOUN
cana-6093	69	3	,	,	PUNCT
cana-6093	69	4	in	in	ADP
cana-6093	69	5	solving	solve	VERB
cana-6093	69	6	inverse	inverse	NOUN
cana-6093	69	7	problems	problem	NOUN
cana-6093	69	8	involving	involve	VERB
cana-6093	69	9	partial	partial	ADJ
cana-6093	69	10	differential	differential	ADJ
cana-6093	69	11	equations	equation	NOUN
cana-6093	69	12	(	(	PUNCT
cana-6093	69	13	pdes	pde	NOUN
cana-6093	69	14	)	)	PUNCT
cana-6093	69	15	,	,	PUNCT
cana-6093	69	16	physics	physics	NOUN
cana-6093	69	17	-	-	PUNCT
cana-6093	69	18	informed	inform	VERB
cana-6093	69	19	neural	neural	ADJ
cana-6093	69	20	networks	network	NOUN
cana-6093	69	21	(	(	PUNCT
cana-6093	69	22	pinns	pinn	NOUN
cana-6093	69	23	)	)	PUNCT
cana-6093	69	24	can	can	AUX
cana-6093	69	25	be	be	AUX
cana-6093	69	26	combined	combine	VERB
cana-6093	69	27	with	with	ADP
cana-6093	69	28	adversarial	adversarial	ADJ
cana-6093	69	29	frameworks	framework	NOUN
cana-6093	69	30	to	to	PART
cana-6093	69	31	ensure	ensure	VERB
cana-6093	69	32	both	both	DET
cana-6093	69	33	data	datum	NOUN
cana-6093	69	34	consistency	consistency	NOUN
cana-6093	69	35	and	and	CCONJ
cana-6093	69	36	physical	physical	ADJ
cana-6093	69	37	plausibility	plausibility	NOUN
cana-6093	69	38	4	4	NUM
cana-6093	69	39	.	.	PUNCT
cana-6093	70	1	this	this	DET
cana-6093	70	2	hybrid	hybrid	ADJ
cana-6093	70	3	approach	approach	NOUN
cana-6093	70	4	leverages	leverage	VERB
cana-6093	70	5	the	the	DET
cana-6093	70	6	strengths	strength	NOUN
cana-6093	70	7	of	of	ADP
cana-6093	70	8	both	both	DET
cana-6093	70	9	methodologies	methodology	NOUN
cana-6093	70	10	:	:	PUNCT
cana-6093	70	11	the	the	DET
cana-6093	70	12	representation	representation	NOUN
cana-6093	70	13	learning	learn	VERB
cana-6093	70	14	capabilities	capability	NOUN
cana-6093	70	15	of	of	ADP
cana-6093	70	16	gans	gan	NOUN
cana-6093	70	17	and	and	CCONJ
cana-6093	70	18	the	the	DET
cana-6093	70	19	physical	physical	ADJ
cana-6093	70	20	consistency	consistency	NOUN
cana-6093	70	21	of	of	ADP
cana-6093	70	22	pinns	pinn	NOUN
cana-6093	70	23	.	.	PUNCT
cana-6093	71	1	3.4	3.4	NUM
cana-6093	71	2	bayesian	bayesian	NOUN
cana-6093	71	3	inference	inference	NOUN
cana-6093	71	4	with	with	ADP
cana-6093	71	5	generative	generative	ADJ
cana-6093	71	6	priors	prior	NOUN
cana-6093	71	7	gans	gan	NOUN
cana-6093	71	8	can	can	AUX
cana-6093	71	9	serve	serve	VERB
cana-6093	71	10	as	as	ADP
cana-6093	71	11	learned	learn	VERB
cana-6093	71	12	priors	prior	NOUN
cana-6093	71	13	in	in	ADP
cana-6093	71	14	bayesian	bayesian	NOUN
cana-6093	71	15	inference	inference	NOUN
cana-6093	71	16	frameworks	framework	NOUN
cana-6093	71	17	,	,	PUNCT
cana-6093	71	18	providing	provide	VERB
cana-6093	71	19	flexible	flexible	ADJ
cana-6093	71	20	,	,	PUNCT
cana-6093	71	21	data	datum	NOUN
cana-6093	71	22	-	-	PUNCT
cana-6093	71	23	driven	drive	VERB
cana-6093	71	24	alternatives	alternative	NOUN
cana-6093	71	25	to	to	ADP
cana-6093	71	26	traditional	traditional	ADJ
cana-6093	71	27	analytical	analytical	ADJ
cana-6093	71	28	priors	prior	NOUN
cana-6093	71	29	9	9	NUM
cana-6093	71	30	.	.	PUNCT
cana-6093	71	31	by	by	ADP
cana-6093	71	32	training	train	VERB
cana-6093	71	33	a	a	DET
cana-6093	71	34	generator	generator	NOUN
cana-6093	71	35	g	g	NOUN
cana-6093	71	36	to	to	PART
cana-6093	71	37	map	map	VERB
cana-6093	71	38	latent	latent	ADJ
cana-6093	71	39	vectors	vector	NOUN
cana-6093	71	40	*	*	PUNCT
cana-6093	71	41	z	z	X
cana-6093	71	42	*	*	PUNCT
cana-6093	71	43	to	to	ADP
cana-6093	71	44	parameters	parameter	NOUN
cana-6093	71	45	*	*	PUNCT
cana-6093	71	46	x	x	X
cana-6093	71	47	*	*	PUNCT
cana-6093	71	48	,	,	PUNCT
cana-6093	71	49	the	the	DET
cana-6093	71	50	prior	prior	ADJ
cana-6093	71	51	distribution	distribution	NOUN
cana-6093	71	52	is	be	AUX
cana-6093	71	53	implicitly	implicitly	ADV
cana-6093	71	54	defined	define	VERB
cana-6093	71	55	as	as	ADP
cana-6093	71	56	the	the	DET
cana-6093	71	57	pushforward	pushforward	NOUN
cana-6093	71	58	of	of	ADP
cana-6093	71	59	the	the	DET
cana-6093	71	60	latent	latent	NOUN
cana-6093	71	61	distribution	distribution	NOUN
cana-6093	71	62	through	through	ADP
cana-6093	71	63	g	g	NOUN
cana-6093	71	64	:	:	PUNCT
cana-6093	71	65	x	x	SYM
cana-6093	71	66	=	=	SYM
cana-6093	71	67	g(z	g(z	PROPN
cana-6093	71	68	)	)	PUNCT
cana-6093	71	69	,	,	PUNCT
cana-6093	71	70	z	z	NOUN
cana-6093	71	71	∼	∼	NOUN
cana-6093	71	72	p(z	p(z	NOUN
cana-6093	71	73	)	)	PUNCT
cana-6093	71	74	.	.	PUNCT
cana-6093	72	1	bayesian	bayesian	NOUN
cana-6093	72	2	inversion	inversion	NOUN
cana-6093	72	3	then	then	ADV
cana-6093	72	4	involves	involve	VERB
cana-6093	72	5	inferring	infer	VERB
cana-6093	72	6	the	the	DET
cana-6093	72	7	posterior	posterior	ADJ
cana-6093	72	8	distribution	distribution	NOUN
cana-6093	72	9	over	over	ADP
cana-6093	72	10	latent	latent	NOUN
cana-6093	72	11	variables	variable	NOUN
cana-6093	72	12	*	*	PUNCT
cana-6093	72	13	z	z	X
cana-6093	72	14	*	*	PUNCT
cana-6093	72	15	rather	rather	ADV
cana-6093	72	16	than	than	ADP
cana-6093	72	17	parameters	parameter	NOUN
cana-6093	72	18	*	*	PUNCT
cana-6093	72	19	x	x	X
cana-6093	72	20	*	*	NOUN
cana-6093	72	21	:	:	PUNCT
cana-6093	72	22	https://www.sciencedirect.com/science/article/abs/pii/s0266352x24005020	https://www.sciencedirect.com/science/article/abs/pii/s0266352x24005020	NOUN
cana-6093	72	23	https://www.sciencedirect.com/science/article/abs/pii/s0266352x24005020	https://www.sciencedirect.com/science/article/abs/pii/s0266352x24005020	NOUN
cana-6093	72	24	https://www.sciencedirect.com/science/article/abs/pii/s0045782523004620	https://www.sciencedirect.com/science/article/abs/pii/s0045782523004620	NUM
cana-6093	72	25	https://www.sciencedirect.com/science/article/abs/pii/s0045782523004620	https://www.sciencedirect.com/science/article/abs/pii/s0045782523004620	NOUN
cana-6093	72	26	https://www.sciencedirect.com/science/article/abs/pii/s0045782523004620	https://www.sciencedirect.com/science/article/abs/pii/s0045782523004620	NOUN
cana-6093	72	27	https://www.sciencedirect.com/science/article/abs/pii/s0045782523004620	https://www.sciencedirect.com/science/article/abs/pii/s0045782523004620	PROPN
cana-6093	72	28	https://www.sciencedirect.com/science/article/abs/pii/s089812212500032x	https://www.sciencedirect.com/science/article/abs/pii/s089812212500032x	PROPN
cana-6093	72	29	https://www.sciencedirect.com/science/article/abs/pii/s089812212500032x	https://www.sciencedirect.com/science/article/abs/pii/s089812212500032x	PROPN
cana-6093	72	30	https://www.sciencedirect.com/science/article/abs/pii/s089812212500032x	https://www.sciencedirect.com/science/article/abs/pii/s089812212500032x	PROPN
cana-6093	72	31	https://pmc.ncbi.nlm.nih.gov/articles/pmc12177523/	https://pmc.ncbi.nlm.nih.gov/articles/pmc12177523/	PROPN
cana-6093	72	32	communications	communication	NOUN
cana-6093	72	33	on	on	ADP
cana-6093	72	34	applied	apply	VERB
cana-6093	72	35	nonlinear	nonlinear	ADJ
cana-6093	72	36	analysis	analysis	NOUN
cana-6093	72	37	issn	issn	NOUN
cana-6093	72	38	:	:	PUNCT
cana-6093	72	39	1074	1074	NUM
cana-6093	72	40	-	-	PUNCT
cana-6093	72	41	133x	133x	NUM
cana-6093	72	42	vol	vol	NOUN
cana-6093	72	43	31	31	NUM
cana-6093	72	44	no	no	NOUN
cana-6093	72	45	.	.	NOUN
cana-6093	72	46	1	1	NUM
cana-6093	72	47	(	(	PUNCT
cana-6093	72	48	2024	2024	NUM
cana-6093	72	49	)	)	PUNCT
cana-6093	72	50	369	369	NUM
cana-6093	72	51	https://internationalpubls.com	https://internationalpubls.com	X
cana-6093	72	52	p(z|y	p(z|y	PROPN
cana-6093	72	53	)	)	PUNCT
cana-6093	72	54	∝	∝	PROPN
cana-6093	72	55	p(y|g(z))p(z	p(y|g(z))p(z	NOUN
cana-6093	72	56	)	)	PUNCT
cana-6093	72	57	this	this	DET
cana-6093	72	58	approach	approach	NOUN
cana-6093	72	59	effectively	effectively	ADV
cana-6093	72	60	reduces	reduce	VERB
cana-6093	72	61	the	the	DET
cana-6093	72	62	dimensionality	dimensionality	NOUN
cana-6093	72	63	of	of	ADP
cana-6093	72	64	the	the	DET
cana-6093	72	65	inverse	inverse	NOUN
cana-6093	72	66	problem	problem	NOUN
cana-6093	72	67	since	since	SCONJ
cana-6093	72	68	the	the	DET
cana-6093	72	69	latent	latent	NOUN
cana-6093	72	70	space	space	NOUN
cana-6093	72	71	typically	typically	ADV
cana-6093	72	72	has	have	VERB
cana-6093	72	73	much	much	ADV
cana-6093	72	74	lower	low	ADJ
cana-6093	72	75	dimension	dimension	NOUN
cana-6093	72	76	than	than	ADP
cana-6093	72	77	the	the	DET
cana-6093	72	78	parameter	parameter	NOUN
cana-6093	72	79	space	space	NOUN
cana-6093	72	80	9	9	NUM
cana-6093	72	81	.	.	PUNCT
cana-6093	72	82	sampling	sample	VERB
cana-6093	72	83	methods	method	NOUN
cana-6093	72	84	like	like	ADP
cana-6093	72	85	mcmc	mcmc	PROPN
cana-6093	72	86	or	or	CCONJ
cana-6093	72	87	variational	variational	ADJ
cana-6093	72	88	inference	inference	NOUN
cana-6093	72	89	can	can	AUX
cana-6093	72	90	be	be	AUX
cana-6093	72	91	applied	apply	VERB
cana-6093	72	92	in	in	ADP
cana-6093	72	93	the	the	DET
cana-6093	72	94	latent	latent	NOUN
cana-6093	72	95	space	space	NOUN
cana-6093	72	96	,	,	PUNCT
cana-6093	72	97	generating	generate	VERB
cana-6093	72	98	samples	sample	NOUN
cana-6093	72	99	z⁽ⁱ⁾	z⁽ⁱ⁾	PROPN
cana-6093	72	100	∼	∼	X
cana-6093	72	101	p(z|y	p(z|y	NOUN
cana-6093	72	102	)	)	PUNCT
cana-6093	72	103	that	that	PRON
cana-6093	72	104	correspond	correspond	VERB
cana-6093	72	105	to	to	PART
cana-6093	72	106	parameter	parameter	NOUN
cana-6093	72	107	samples	sample	NOUN
cana-6093	72	108	x⁽ⁱ⁾	x⁽ⁱ⁾	PROPN
cana-6093	72	109	=	=	PUNCT
cana-6093	72	110	g(z⁽ⁱ⁾	g(z⁽ⁱ⁾	VERB
cana-6093	72	111	)	)	PUNCT
cana-6093	72	112	approximating	approximate	VERB
cana-6093	72	113	the	the	DET
cana-6093	72	114	posterior	posterior	NOUN
cana-6093	72	115	p(x|y	p(x|y	NUM
cana-6093	72	116	)	)	PUNCT
cana-6093	72	117	.	.	PUNCT
cana-6093	73	1	this	this	DET
cana-6093	73	2	paradigm	paradigm	NOUN
cana-6093	73	3	has	have	AUX
cana-6093	73	4	been	be	AUX
cana-6093	73	5	successfully	successfully	ADV
cana-6093	73	6	applied	apply	VERB
cana-6093	73	7	to	to	ADP
cana-6093	73	8	various	various	ADJ
cana-6093	73	9	inverse	inverse	NOUN
cana-6093	73	10	problems	problem	NOUN
cana-6093	73	11	,	,	PUNCT
cana-6093	73	12	including	include	VERB
cana-6093	73	13	compressed	compress	VERB
cana-6093	73	14	sensing	sensing	NOUN
cana-6093	73	15	with	with	ADP
cana-6093	73	16	generative	generative	ADJ
cana-6093	73	17	models	model	NOUN
cana-6093	73	18	(	(	PUNCT
cana-6093	73	19	csgm	csgm	VERB
cana-6093	73	20	)	)	PUNCT
cana-6093	73	21	and	and	CCONJ
cana-6093	73	22	bayesian	bayesian	NOUN
cana-6093	73	23	inversion	inversion	NOUN
cana-6093	73	24	using	use	VERB
cana-6093	73	25	wasserstein	wasserstein	NOUN
cana-6093	73	26	gans	gan	NOUN
cana-6093	73	27	91	91	NUM
cana-6093	73	28	.	.	PUNCT
cana-6093	74	1	gan	gan	ADJ
cana-6093	74	2	architecture	architecture	NOUN
cana-6093	74	3	key	key	NOUN
cana-6093	74	4	features	feature	NOUN
cana-6093	74	5	advantages	advantage	NOUN
cana-6093	74	6	representative	representative	ADJ
cana-6093	74	7	applications	application	NOUN
cana-6093	74	8	conditional	conditional	ADJ
cana-6093	74	9	gan	gan	NOUN
cana-6093	74	10	(	(	PUNCT
cana-6093	74	11	cgan	cgan	ADJ
cana-6093	74	12	)	)	PUNCT
cana-6093	74	13	conditioning	conditioning	NOUN
cana-6093	74	14	on	on	ADP
cana-6093	74	15	measurements	measurement	NOUN
cana-6093	74	16	direct	direct	ADJ
cana-6093	74	17	inverse	inverse	NOUN
cana-6093	74	18	mapping	mapping	NOUN
cana-6093	74	19	,	,	PUNCT
cana-6093	74	20	handles	handle	VERB
cana-6093	74	21	multi	multi	ADJ
cana-6093	74	22	-	-	ADJ
cana-6093	74	23	modality	modality	ADJ
cana-6093	74	24	seismic	seismic	ADJ
cana-6093	74	25	inversion	inversion	NOUN
cana-6093	74	26	8	8	NUM
cana-6093	74	27	,	,	PUNCT
cana-6093	74	28	image	image	NOUN
cana-6093	74	29	reconstruction	reconstruction	NOUN
cana-6093	74	30	10	10	NUM
cana-6093	74	31	wasserstein	wasserstein	NOUN
cana-6093	74	32	gan	gan	NOUN
cana-6093	74	33	(	(	PUNCT
cana-6093	74	34	wgan	wgan	ADJ
cana-6093	74	35	)	)	PUNCT
cana-6093	74	36	wasserstein	wasserstein	NOUN
cana-6093	74	37	distance	distance	NOUN
cana-6093	74	38	,	,	PUNCT
cana-6093	74	39	gradient	gradient	ADJ
cana-6093	74	40	penalty	penalty	NOUN
cana-6093	74	41	improved	improve	VERB
cana-6093	74	42	training	training	NOUN
cana-6093	74	43	stability	stability	NOUN
cana-6093	74	44	,	,	PUNCT
cana-6093	74	45	meaningful	meaningful	ADJ
cana-6093	74	46	loss	loss	NOUN
cana-6093	74	47	metric	metric	ADJ
cana-6093	74	48	physics	physics	NOUN
cana-6093	74	49	-	-	PUNCT
cana-6093	74	50	based	base	VERB
cana-6093	74	51	inversion	inversion	NOUN
cana-6093	74	52	1	1	NUM
cana-6093	74	53	physics	physics	NOUN
cana-6093	74	54	-	-	PUNCT
cana-6093	74	55	informed	inform	VERB
cana-6093	74	56	gan	gan	PROPN
cana-6093	74	57	incorporates	incorporate	VERB
cana-6093	74	58	physical	physical	ADJ
cana-6093	74	59	constraints	constraint	NOUN
cana-6093	74	60	physically	physically	ADV
cana-6093	74	61	plausible	plausible	ADJ
cana-6093	74	62	solutions	solution	NOUN
cana-6093	74	63	,	,	PUNCT
cana-6093	74	64	better	well	ADJ
cana-6093	74	65	generalization	generalization	NOUN
cana-6093	74	66	pde	pde	NOUN
cana-6093	74	67	-	-	PUNCT
cana-6093	74	68	constrained	constrain	VERB
cana-6093	74	69	problems	problem	NOUN
cana-6093	74	70	4	4	NUM
cana-6093	74	71	bayesian	bayesian	NOUN
cana-6093	74	72	gan	gan	NOUN
cana-6093	74	73	generator	generator	PROPN
cana-6093	74	74	as	as	SCONJ
cana-6093	74	75	learned	learn	VERB
cana-6093	74	76	prior	prior	ADJ
cana-6093	74	77	uncertainty	uncertainty	NOUN
cana-6093	74	78	quantification	quantification	NOUN
cana-6093	74	79	,	,	PUNCT
cana-6093	74	80	reduced	reduce	VERB
cana-6093	74	81	dimensionality	dimensionality	NOUN
cana-6093	74	82	compressive	compressive	ADJ
cana-6093	74	83	sensing	sense	VERB
cana-6093	74	84	9	9	NUM
cana-6093	74	85	,	,	PUNCT
cana-6093	74	86	medical	medical	ADJ
cana-6093	74	87	imaging	imaging	NOUN
cana-6093	74	88	9	9	NUM
cana-6093	74	89	table	table	NOUN
cana-6093	74	90	2	2	NUM
cana-6093	74	91	:	:	PUNCT
cana-6093	74	92	gan	gan	PROPN
cana-6093	74	93	architectures	architecture	NOUN
cana-6093	74	94	for	for	ADP
cana-6093	74	95	inverse	inverse	NOUN
cana-6093	74	96	problems	problem	NOUN
cana-6093	74	97	and	and	CCONJ
cana-6093	74	98	their	their	PRON
cana-6093	74	99	applications	application	NOUN
cana-6093	74	100	4.applications	4.application	NOUN
cana-6093	74	101	and	and	CCONJ
cana-6093	74	102	case	case	NOUN
cana-6093	74	103	studies	study	VERB
cana-6093	74	104	4.1	4.1	NUM
cana-6093	74	105	seismic	seismic	ADJ
cana-6093	74	106	inversion	inversion	NOUN
cana-6093	74	107	and	and	CCONJ
cana-6093	74	108	accelerogram	accelerogram	NOUN
cana-6093	74	109	generation	generation	NOUN
cana-6093	74	110	seismic	seismic	ADJ
cana-6093	74	111	inverse	inverse	NOUN
cana-6093	74	112	problems	problem	NOUN
cana-6093	74	113	involve	involve	VERB
cana-6093	74	114	estimating	estimate	VERB
cana-6093	74	115	subsurface	subsurface	NOUN
cana-6093	74	116	properties	property	NOUN
cana-6093	74	117	from	from	ADP
cana-6093	74	118	seismic	seismic	ADJ
cana-6093	74	119	measurements	measurement	NOUN
cana-6093	74	120	or	or	CCONJ
cana-6093	74	121	generating	generate	VERB
cana-6093	74	122	realistic	realistic	ADJ
cana-6093	74	123	ground	ground	NOUN
cana-6093	74	124	motion	motion	NOUN
cana-6093	74	125	records	record	NOUN
cana-6093	74	126	consistent	consistent	ADJ
cana-6093	74	127	with	with	ADP
cana-6093	74	128	response	response	NOUN
cana-6093	74	129	spectra	spectra	PROPN
cana-6093	74	130	.	.	PUNCT
cana-6093	75	1	these	these	DET
cana-6093	75	2	problems	problem	NOUN
cana-6093	75	3	are	be	AUX
cana-6093	75	4	particularly	particularly	ADV
cana-6093	75	5	challenging	challenging	ADJ
cana-6093	75	6	due	due	ADJ
cana-6093	75	7	to	to	ADP
cana-6093	75	8	the	the	DET
cana-6093	75	9	high	high	ADV
cana-6093	75	10	-	-	PUNCT
cana-6093	75	11	dimensional	dimensional	ADJ
cana-6093	75	12	parameter	parameter	NOUN
cana-6093	75	13	spaces	space	NOUN
cana-6093	75	14	,	,	PUNCT
cana-6093	75	15	complex	complex	ADJ
cana-6093	75	16	wave	wave	NOUN
cana-6093	75	17	propagation	propagation	NOUN
cana-6093	75	18	physics	physics	NOUN
cana-6093	75	19	,	,	PUNCT
cana-6093	75	20	and	and	CCONJ
cana-6093	75	21	limited	limited	ADJ
cana-6093	75	22	measurement	measurement	NOUN
cana-6093	75	23	data	datum	NOUN
cana-6093	75	24	8	8	NUM
cana-6093	75	25	.	.	PUNCT
cana-6093	76	1	kim	kim	PROPN
cana-6093	76	2	et	et	PROPN
cana-6093	76	3	al	al	PROPN
cana-6093	76	4	.	.	PROPN
cana-6093	76	5	developed	develop	VERB
cana-6093	76	6	a	a	DET
cana-6093	76	7	cgan	cgan	VERB
cana-6093	76	8	framework	framework	NOUN
cana-6093	76	9	for	for	ADP
cana-6093	76	10	generating	generate	VERB
cana-6093	76	11	artificial	artificial	ADJ
cana-6093	76	12	accelerograms	accelerogram	NOUN
cana-6093	76	13	conditioned	condition	VERB
cana-6093	76	14	on	on	ADP
cana-6093	76	15	pseudospectral	pseudospectral	ADJ
cana-6093	76	16	acceleration	acceleration	NOUN
cana-6093	76	17	(	(	PUNCT
cana-6093	76	18	psa	psa	NOUN
cana-6093	76	19	)	)	PUNCT
cana-6093	76	20	values	value	NOUN
cana-6093	76	21	8	8	NUM
cana-6093	76	22	.	.	PUNCT
cana-6093	77	1	their	their	PRON
cana-6093	77	2	model	model	NOUN
cana-6093	77	3	utilized	utilize	VERB
cana-6093	77	4	a	a	DET
cana-6093	77	5	wasserstein	wasserstein	NOUN
cana-6093	77	6	gan	gan	NOUN
cana-6093	77	7	with	with	ADP
cana-6093	77	8	gradient	gradient	ADJ
cana-6093	77	9	penalty	penalty	NOUN
cana-6093	77	10	(	(	PUNCT
cana-6093	77	11	wgangp	wgangp	NOUN
cana-6093	77	12	)	)	PUNCT
cana-6093	77	13	to	to	PART
cana-6093	77	14	stabilize	stabilize	VERB
cana-6093	77	15	training	training	NOUN
cana-6093	77	16	and	and	CCONJ
cana-6093	77	17	generate	generate	VERB
cana-6093	77	18	diverse	diverse	ADJ
cana-6093	77	19	,	,	PUNCT
cana-6093	77	20	high	high	ADJ
cana-6093	77	21	-	-	PUNCT
cana-6093	77	22	quality	quality	NOUN
cana-6093	77	23	samples	sample	NOUN
cana-6093	77	24	.	.	PUNCT
cana-6093	78	1	the	the	DET
cana-6093	78	2	generator	generator	NOUN
cana-6093	78	3	received	receive	VERB
cana-6093	78	4	both	both	DET
cana-6093	78	5	latent	latent	ADJ
cana-6093	78	6	vectors	vector	NOUN
cana-6093	78	7	and	and	CCONJ
cana-6093	78	8	psa	psa	VERB
cana-6093	78	9	conditions	condition	NOUN
cana-6093	78	10	as	as	ADP
cana-6093	78	11	inputs	input	NOUN
cana-6093	78	12	,	,	PUNCT
cana-6093	78	13	producing	produce	VERB
cana-6093	78	14	120	120	NUM
cana-6093	78	15	-	-	PUNCT
cana-6093	78	16	second	second	NOUN
cana-6093	78	17	acceleration	acceleration	NOUN
cana-6093	78	18	time	time	NOUN
cana-6093	78	19	histories	history	NOUN
cana-6093	78	20	that	that	PRON
cana-6093	78	21	captured	capture	VERB
cana-6093	78	22	the	the	DET
cana-6093	78	23	complex	complex	ADJ
cana-6093	78	24	temporal	temporal	ADJ
cana-6093	78	25	characteristics	characteristic	NOUN
cana-6093	78	26	of	of	ADP
cana-6093	78	27	earthquake	earthquake	NOUN
cana-6093	78	28	ground	ground	NOUN
cana-6093	78	29	motions	motion	NOUN
cana-6093	78	30	.	.	PUNCT
cana-6093	79	1	the	the	DET
cana-6093	79	2	trained	train	VERB
cana-6093	79	3	model	model	NOUN
cana-6093	79	4	demonstrated	demonstrate	VERB
cana-6093	79	5	remarkable	remarkable	ADJ
cana-6093	79	6	capability	capability	NOUN
cana-6093	79	7	in	in	ADP
cana-6093	79	8	generating	generate	VERB
cana-6093	79	9	numerous	numerous	ADJ
cana-6093	79	10	artificial	artificial	ADJ
cana-6093	79	11	accelerograms	accelerogram	NOUN
cana-6093	79	12	matching	match	VERB
cana-6093	79	13	target	target	NOUN
cana-6093	79	14	psa	psa	NOUN
cana-6093	79	15	characteristics	characteristic	NOUN
cana-6093	79	16	while	while	SCONJ
cana-6093	79	17	maintaining	maintain	VERB
cana-6093	79	18	realistic	realistic	ADJ
cana-6093	79	19	temporal	temporal	ADJ
cana-6093	79	20	patterns	pattern	NOUN
cana-6093	79	21	and	and	CCONJ
cana-6093	79	22	energy	energy	NOUN
cana-6093	79	23	distributions	distribution	NOUN
cana-6093	79	24	.	.	PUNCT
cana-6093	80	1	this	this	DET
cana-6093	80	2	approach	approach	NOUN
cana-6093	80	3	significantly	significantly	ADV
cana-6093	80	4	accelerated	accelerate	VERB
cana-6093	80	5	the	the	DET
cana-6093	80	6	process	process	NOUN
cana-6093	80	7	of	of	ADP
cana-6093	80	8	generating	generate	VERB
cana-6093	80	9	design	design	NOUN
cana-6093	80	10	-	-	PUNCT
cana-6093	80	11	level	level	NOUN
cana-6093	80	12	ground	ground	NOUN
cana-6093	80	13	motions	motion	NOUN
cana-6093	80	14	compared	compare	VERB
cana-6093	80	15	to	to	ADP
cana-6093	80	16	traditional	traditional	ADJ
cana-6093	80	17	simulation	simulation	NOUN
cana-6093	80	18	methods	method	NOUN
cana-6093	80	19	,	,	PUNCT
cana-6093	80	20	with	with	ADP
cana-6093	80	21	applications	application	NOUN
cana-6093	80	22	in	in	ADP
cana-6093	80	23	seismic	seismic	ADJ
cana-6093	80	24	hazard	hazard	NOUN
cana-6093	80	25	analysis	analysis	NOUN
cana-6093	80	26	and	and	CCONJ
cana-6093	80	27	structural	structural	ADJ
cana-6093	80	28	design	design	NOUN
cana-6093	80	29	8	8	NUM
cana-6093	80	30	.	.	X
cana-6093	80	31	4.2	4.2	NUM
cana-6093	80	32	medical	medical	ADJ
cana-6093	80	33	image	image	NOUN
cana-6093	80	34	reconstruction	reconstruction	NOUN
cana-6093	80	35	medical	medical	ADJ
cana-6093	80	36	imaging	imaging	NOUN
cana-6093	80	37	modalities	modality	NOUN
cana-6093	80	38	including	include	VERB
cana-6093	80	39	computed	compute	VERB
cana-6093	80	40	tomography	tomography	NOUN
cana-6093	80	41	(	(	PUNCT
cana-6093	80	42	ct	ct	PROPN
cana-6093	80	43	)	)	PUNCT
cana-6093	80	44	,	,	PUNCT
cana-6093	80	45	magnetic	magnetic	ADJ
cana-6093	80	46	resonance	resonance	NOUN
cana-6093	80	47	imaging	imaging	NOUN
cana-6093	80	48	(	(	PUNCT
cana-6093	80	49	mri	mri	NOUN
cana-6093	80	50	)	)	PUNCT
cana-6093	80	51	,	,	PUNCT
cana-6093	80	52	and	and	CCONJ
cana-6093	80	53	positron	positron	NOUN
cana-6093	80	54	emission	emission	NOUN
cana-6093	80	55	tomography	tomography	NOUN
cana-6093	80	56	(	(	PUNCT
cana-6093	80	57	pet	pet	NOUN
cana-6093	80	58	)	)	PUNCT
cana-6093	80	59	inherently	inherently	ADV
cana-6093	80	60	involve	involve	VERB
cana-6093	80	61	inverse	inverse	NOUN
cana-6093	80	62	problems	problem	NOUN
cana-6093	80	63	where	where	SCONJ
cana-6093	80	64	the	the	DET
cana-6093	80	65	goal	goal	NOUN
cana-6093	80	66	is	be	AUX
cana-6093	80	67	to	to	PART
cana-6093	80	68	reconstruct	reconstruct	VERB
cana-6093	80	69	anatomical	anatomical	ADJ
cana-6093	80	70	or	or	CCONJ
cana-6093	80	71	functional	functional	ADJ
cana-6093	80	72	images	image	NOUN
cana-6093	80	73	from	from	ADP
cana-6093	80	74	measured	measured	ADJ
cana-6093	80	75	projections	projection	NOUN
cana-6093	80	76	or	or	CCONJ
cana-6093	80	77	signals	signal	NOUN
cana-6093	80	78	10	10	NUM
cana-6093	80	79	.	.	PUNCT
cana-6093	81	1	https://pmc.ncbi.nlm.nih.gov/articles/pmc12177523/	https://pmc.ncbi.nlm.nih.gov/articles/pmc12177523/	PROPN
cana-6093	81	2	https://pmc.ncbi.nlm.nih.gov/articles/pmc12177523/	https://pmc.ncbi.nlm.nih.gov/articles/pmc12177523/	PROPN
cana-6093	81	3	https://www.sciencedirect.com/science/article/abs/pii/s0045782523004620	https://www.sciencedirect.com/science/article/abs/pii/s0045782523004620	NOUN
cana-6093	81	4	https://www.sciencedirect.com/science/article/abs/pii/s0266352x24005020	https://www.sciencedirect.com/science/article/abs/pii/s0266352x24005020	NOUN
cana-6093	81	5	https://pmc.ncbi.nlm.nih.gov/articles/pmc9137882/	https://pmc.ncbi.nlm.nih.gov/articles/pmc9137882/	PROPN
cana-6093	81	6	https://www.sciencedirect.com/science/article/abs/pii/s0045782523004620	https://www.sciencedirect.com/science/article/abs/pii/s0045782523004620	NUM
cana-6093	81	7	https://www.sciencedirect.com/science/article/abs/pii/s089812212500032x	https://www.sciencedirect.com/science/article/abs/pii/s089812212500032x	PROPN
cana-6093	81	8	https://pmc.ncbi.nlm.nih.gov/articles/pmc12177523/	https://pmc.ncbi.nlm.nih.gov/articles/pmc12177523/	PROPN
cana-6093	81	9	https://pmc.ncbi.nlm.nih.gov/articles/pmc12177523/	https://pmc.ncbi.nlm.nih.gov/articles/pmc12177523/	NOUN
cana-6093	81	10	https://www.sciencedirect.com/science/article/abs/pii/s0266352x24005020	https://www.sciencedirect.com/science/article/abs/pii/s0266352x24005020	NOUN
cana-6093	81	11	https://www.sciencedirect.com/science/article/abs/pii/s0266352x24005020	https://www.sciencedirect.com/science/article/abs/pii/s0266352x24005020	NOUN
cana-6093	81	12	https://www.sciencedirect.com/science/article/abs/pii/s0266352x24005020	https://www.sciencedirect.com/science/article/abs/pii/s0266352x24005020	NOUN
cana-6093	81	13	https://pmc.ncbi.nlm.nih.gov/articles/pmc9137882/	https://pmc.ncbi.nlm.nih.gov/articles/pmc9137882/	PROPN
cana-6093	81	14	communications	communication	NOUN
cana-6093	81	15	on	on	ADP
cana-6093	81	16	applied	apply	VERB
cana-6093	81	17	nonlinear	nonlinear	ADJ
cana-6093	81	18	analysis	analysis	NOUN
cana-6093	81	19	issn	issn	NOUN
cana-6093	81	20	:	:	PUNCT
cana-6093	81	21	1074	1074	NUM
cana-6093	81	22	-	-	PUNCT
cana-6093	81	23	133x	133x	NUM
cana-6093	81	24	vol	vol	NOUN
cana-6093	81	25	31	31	NUM
cana-6093	81	26	no	no	NOUN
cana-6093	81	27	.	.	NOUN
cana-6093	81	28	1	1	NUM
cana-6093	81	29	(	(	PUNCT
cana-6093	81	30	2024	2024	NUM
cana-6093	81	31	)	)	PUNCT
cana-6093	82	1	370	370	NUM
cana-6093	82	2	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-6093	82	3	gan	gan	PROPN
cana-6093	82	4	-	-	PUNCT
cana-6093	82	5	based	base	VERB
cana-6093	82	6	approaches	approach	NOUN
cana-6093	82	7	have	have	AUX
cana-6093	82	8	shown	show	VERB
cana-6093	82	9	particular	particular	ADJ
cana-6093	82	10	promise	promise	NOUN
cana-6093	82	11	for	for	ADP
cana-6093	82	12	accelerating	accelerate	VERB
cana-6093	82	13	mri	mri	NOUN
cana-6093	82	14	reconstruction	reconstruction	NOUN
cana-6093	82	15	from	from	ADP
cana-6093	82	16	undersampled	undersampled	ADJ
cana-6093	82	17	k	k	PROPN
cana-6093	82	18	-	-	PUNCT
cana-6093	82	19	space	space	NOUN
cana-6093	82	20	data	datum	NOUN
cana-6093	82	21	.	.	PUNCT
cana-6093	83	1	conditional	conditional	ADJ
cana-6093	83	2	gans	gan	NOUN
cana-6093	83	3	can	can	AUX
cana-6093	83	4	learn	learn	VERB
cana-6093	83	5	mapping	mapping	NOUN
cana-6093	83	6	from	from	ADP
cana-6093	83	7	undersampled	undersampled	ADJ
cana-6093	83	8	reconstructions	reconstruction	NOUN
cana-6093	83	9	to	to	ADP
cana-6093	83	10	high	high	ADJ
cana-6093	83	11	-	-	PUNCT
cana-6093	83	12	quality	quality	NOUN
cana-6093	83	13	images	image	NOUN
cana-6093	83	14	,	,	PUNCT
cana-6093	83	15	effectively	effectively	ADV
cana-6093	83	16	learning	learn	VERB
cana-6093	83	17	to	to	PART
cana-6093	83	18	fill	fill	VERB
cana-6093	83	19	in	in	ADP
cana-6093	83	20	missing	miss	VERB
cana-6093	83	21	information	information	NOUN
cana-6093	83	22	based	base	VERB
cana-6093	83	23	on	on	ADP
cana-6093	83	24	training	training	NOUN
cana-6093	83	25	data	datum	NOUN
cana-6093	83	26	patterns	pattern	NOUN
cana-6093	83	27	10	10	NUM
cana-6093	83	28	.	.	PUNCT
cana-6093	84	1	similarly	similarly	ADV
cana-6093	84	2	,	,	PUNCT
cana-6093	84	3	in	in	ADP
cana-6093	84	4	ct	ct	PROPN
cana-6093	84	5	reconstruction	reconstruction	NOUN
cana-6093	84	6	,	,	PUNCT
cana-6093	84	7	gans	gan	NOUN
cana-6093	84	8	have	have	AUX
cana-6093	84	9	been	be	AUX
cana-6093	84	10	used	use	VERB
cana-6093	84	11	to	to	PART
cana-6093	84	12	reduce	reduce	VERB
cana-6093	84	13	radiation	radiation	NOUN
cana-6093	84	14	dose	dose	VERB
cana-6093	84	15	by	by	ADP
cana-6093	84	16	producing	produce	VERB
cana-6093	84	17	high	high	ADJ
cana-6093	84	18	-	-	PUNCT
cana-6093	84	19	quality	quality	NOUN
cana-6093	84	20	images	image	NOUN
cana-6093	84	21	from	from	ADP
cana-6093	84	22	limitedangle	limitedangle	ADJ
cana-6093	84	23	or	or	CCONJ
cana-6093	84	24	sparse	sparse	ADJ
cana-6093	84	25	-	-	PUNCT
cana-6093	84	26	view	view	NOUN
cana-6093	84	27	projections	projection	NOUN
cana-6093	84	28	.	.	PUNCT
cana-6093	85	1	these	these	DET
cana-6093	85	2	approaches	approach	NOUN
cana-6093	85	3	typically	typically	ADV
cana-6093	85	4	demonstrate	demonstrate	VERB
cana-6093	85	5	significant	significant	ADJ
cana-6093	85	6	acceleration	acceleration	NOUN
cana-6093	85	7	compared	compare	VERB
cana-6093	85	8	to	to	ADP
cana-6093	85	9	iterative	iterative	ADJ
cana-6093	85	10	reconstruction	reconstruction	NOUN
cana-6093	85	11	methods	method	NOUN
cana-6093	85	12	,	,	PUNCT
cana-6093	85	13	once	once	SCONJ
cana-6093	85	14	the	the	DET
cana-6093	85	15	models	model	NOUN
cana-6093	85	16	are	be	AUX
cana-6093	85	17	trained	train	VERB
cana-6093	85	18	.	.	PUNCT
cana-6093	86	1	for	for	ADP
cana-6093	86	2	example	example	NOUN
cana-6093	86	3	,	,	PUNCT
cana-6093	86	4	gan	gan	NOUN
cana-6093	86	5	-	-	PUNCT
cana-6093	86	6	based	base	VERB
cana-6093	86	7	mri	mri	NOUN
cana-6093	86	8	reconstruction	reconstruction	NOUN
cana-6093	86	9	can	can	AUX
cana-6093	86	10	achieve	achieve	VERB
cana-6093	86	11	near	near	ADV
cana-6093	86	12	-	-	PUNCT
cana-6093	86	13	instantaneous	instantaneous	ADJ
cana-6093	86	14	reconstruction	reconstruction	NOUN
cana-6093	86	15	compared	compare	VERB
cana-6093	86	16	to	to	ADP
cana-6093	86	17	minutes	minute	NOUN
cana-6093	86	18	or	or	CCONJ
cana-6093	86	19	hours	hour	NOUN
cana-6093	86	20	for	for	ADP
cana-6093	86	21	conventional	conventional	ADJ
cana-6093	86	22	compressed	compress	VERB
cana-6093	86	23	sensing	sense	VERB
cana-6093	86	24	approaches	approach	NOUN
cana-6093	86	25	,	,	PUNCT
cana-6093	86	26	facilitating	facilitate	VERB
cana-6093	86	27	realtime	realtime	ADJ
cana-6093	86	28	imaging	imaging	NOUN
cana-6093	86	29	applications	application	NOUN
cana-6093	86	30	10	10	NUM
cana-6093	86	31	.	.	PUNCT
cana-6093	87	1	4.3	4.3	NUM
cana-6093	87	2	materials	material	NOUN
cana-6093	87	3	science	science	NOUN
cana-6093	87	4	and	and	CCONJ
cana-6093	87	5	microstructure	microstructure	ADJ
cana-6093	87	6	generation	generation	NOUN
cana-6093	87	7	in	in	ADP
cana-6093	87	8	materials	material	NOUN
cana-6093	87	9	science	science	NOUN
cana-6093	87	10	,	,	PUNCT
cana-6093	87	11	inverse	inverse	NOUN
cana-6093	87	12	problems	problem	NOUN
cana-6093	87	13	often	often	ADV
cana-6093	87	14	involve	involve	VERB
cana-6093	87	15	designing	designing	NOUN
cana-6093	87	16	microstructures	microstructure	NOUN
cana-6093	87	17	with	with	ADP
cana-6093	87	18	desired	desire	VERB
cana-6093	87	19	properties	property	NOUN
cana-6093	87	20	or	or	CCONJ
cana-6093	87	21	estimating	estimate	VERB
cana-6093	87	22	material	material	NOUN
cana-6093	87	23	parameters	parameter	NOUN
cana-6093	87	24	from	from	ADP
cana-6093	87	25	measurements	measurement	NOUN
cana-6093	87	26	3	3	NUM
cana-6093	87	27	.	.	PUNCT
cana-6093	87	28	traditional	traditional	ADJ
cana-6093	87	29	approaches	approach	NOUN
cana-6093	87	30	to	to	ADP
cana-6093	87	31	these	these	DET
cana-6093	87	32	problems	problem	NOUN
cana-6093	87	33	face	face	VERB
cana-6093	87	34	challenges	challenge	NOUN
cana-6093	87	35	due	due	ADP
cana-6093	87	36	to	to	ADP
cana-6093	87	37	the	the	DET
cana-6093	87	38	complex	complex	ADJ
cana-6093	87	39	,	,	PUNCT
cana-6093	87	40	non	non	ADJ
cana-6093	87	41	-	-	ADJ
cana-6093	87	42	linear	linear	ADJ
cana-6093	87	43	relationships	relationship	NOUN
cana-6093	87	44	between	between	ADP
cana-6093	87	45	microstructures	microstructure	NOUN
cana-6093	87	46	and	and	CCONJ
cana-6093	87	47	properties	property	NOUN
cana-6093	87	48	.	.	PUNCT
cana-6093	88	1	a	a	DET
cana-6093	88	2	novel	novel	ADJ
cana-6093	88	3	application	application	NOUN
cana-6093	88	4	of	of	ADP
cana-6093	88	5	gans	gan	NOUN
cana-6093	88	6	in	in	ADP
cana-6093	88	7	materials	material	NOUN
cana-6093	88	8	science	science	NOUN
cana-6093	88	9	involves	involve	VERB
cana-6093	88	10	solving	solve	VERB
cana-6093	88	11	inverse	inverse	NOUN
cana-6093	88	12	structure	structure	NOUN
cana-6093	88	13	-	-	PUNCT
cana-6093	88	14	property	property	NOUN
cana-6093	88	15	problems	problem	NOUN
cana-6093	88	16	where	where	SCONJ
cana-6093	88	17	the	the	DET
cana-6093	88	18	goal	goal	NOUN
cana-6093	88	19	is	be	AUX
cana-6093	88	20	to	to	PART
cana-6093	88	21	generate	generate	VERB
cana-6093	88	22	microstructures	microstructure	NOUN
cana-6093	88	23	conditioned	condition	VERB
cana-6093	88	24	on	on	ADP
cana-6093	88	25	continuous	continuous	ADJ
cana-6093	88	26	property	property	NOUN
cana-6093	88	27	values	value	NOUN
cana-6093	88	28	3	3	NUM
cana-6093	88	29	.	.	X
cana-6093	88	30	standard	standard	ADJ
cana-6093	88	31	conditional	conditional	ADJ
cana-6093	88	32	gan	gan	PROPN
cana-6093	88	33	approaches	approach	NOUN
cana-6093	88	34	struggled	struggle	VERB
cana-6093	88	35	with	with	ADP
cana-6093	88	36	continuous	continuous	ADJ
cana-6093	88	37	conditioning	conditioning	NOUN
cana-6093	88	38	values	value	NOUN
cana-6093	88	39	,	,	PUNCT
cana-6093	88	40	often	often	ADV
cana-6093	88	41	leading	lead	VERB
cana-6093	88	42	to	to	ADP
cana-6093	88	43	mode	mode	NOUN
cana-6093	88	44	collapse	collapse	NOUN
cana-6093	88	45	and	and	CCONJ
cana-6093	88	46	limited	limited	ADJ
cana-6093	88	47	diversity	diversity	NOUN
cana-6093	88	48	.	.	PUNCT
cana-6093	89	1	to	to	PART
cana-6093	89	2	address	address	VERB
cana-6093	89	3	this	this	DET
cana-6093	89	4	challenge	challenge	NOUN
cana-6093	89	5	,	,	PUNCT
cana-6093	89	6	a	a	DET
cana-6093	89	7	novel	novel	ADJ
cana-6093	89	8	binary	binary	NOUN
cana-6093	89	9	embedding	embed	VERB
cana-6093	89	10	strategy	strategy	NOUN
cana-6093	89	11	was	be	AUX
cana-6093	89	12	developed	develop	VERB
cana-6093	89	13	that	that	PRON
cana-6093	89	14	represents	represent	VERB
cana-6093	89	15	continuous	continuous	ADJ
cana-6093	89	16	property	property	NOUN
cana-6093	89	17	values	value	NOUN
cana-6093	89	18	using	use	VERB
cana-6093	89	19	their	their	PRON
cana-6093	89	20	binary	binary	ADJ
cana-6093	89	21	representations	representation	NOUN
cana-6093	89	22	(	(	PUNCT
cana-6093	89	23	sign	sign	NOUN
cana-6093	89	24	,	,	PUNCT
cana-6093	89	25	exponent	exponent	NOUN
cana-6093	89	26	,	,	PUNCT
cana-6093	89	27	and	and	CCONJ
cana-6093	89	28	mantissa	mantissa	NOUN
cana-6093	89	29	)	)	PUNCT
cana-6093	89	30	before	before	ADP
cana-6093	89	31	feeding	feed	VERB
cana-6093	89	32	them	they	PRON
cana-6093	89	33	to	to	ADP
cana-6093	89	34	the	the	DET
cana-6093	89	35	generator	generator	NOUN
cana-6093	89	36	3	3	NUM
cana-6093	89	37	.	.	PUNCT
cana-6093	90	1	this	this	DET
cana-6093	90	2	approach	approach	NOUN
cana-6093	90	3	preserved	preserve	VERB
cana-6093	90	4	information	information	NOUN
cana-6093	90	5	and	and	CCONJ
cana-6093	90	6	created	create	VERB
cana-6093	90	7	a	a	DET
cana-6093	90	8	versatile	versatile	ADJ
cana-6093	90	9	embedding	embed	VERB
cana-6093	90	10	space	space	NOUN
cana-6093	90	11	for	for	ADP
cana-6093	90	12	conditioning	conditioning	NOUN
cana-6093	90	13	,	,	PUNCT
cana-6093	90	14	enabling	enable	VERB
cana-6093	90	15	precise	precise	ADJ
cana-6093	90	16	control	control	NOUN
cana-6093	90	17	over	over	ADP
cana-6093	90	18	generated	generate	VERB
cana-6093	90	19	microstructures	microstructure	NOUN
cana-6093	90	20	throughout	throughout	ADP
cana-6093	90	21	the	the	DET
cana-6093	90	22	property	property	NOUN
cana-6093	90	23	range	range	NOUN
cana-6093	90	24	.	.	PUNCT
cana-6093	91	1	this	this	DET
cana-6093	91	2	method	method	NOUN
cana-6093	91	3	demonstrated	demonstrate	VERB
cana-6093	91	4	superior	superior	ADJ
cana-6093	91	5	performance	performance	NOUN
cana-6093	91	6	compared	compare	VERB
cana-6093	91	7	to	to	ADP
cana-6093	91	8	traditional	traditional	ADJ
cana-6093	91	9	conditioning	conditioning	NOUN
cana-6093	91	10	approaches	approach	NOUN
cana-6093	91	11	,	,	PUNCT
cana-6093	91	12	successfully	successfully	ADV
cana-6093	91	13	generating	generate	VERB
cana-6093	91	14	diverse	diverse	ADJ
cana-6093	91	15	ising	ise	VERB
cana-6093	91	16	model	model	NOUN
cana-6093	91	17	microstructures	microstructure	NOUN
cana-6093	91	18	across	across	ADP
cana-6093	91	19	temperature	temperature	NOUN
cana-6093	91	20	ranges	range	NOUN
cana-6093	91	21	that	that	PRON
cana-6093	91	22	captured	capture	VERB
cana-6093	91	23	phase	phase	NOUN
cana-6093	91	24	transition	transition	NOUN
cana-6093	91	25	behaviors	behavior	NOUN
cana-6093	91	26	3	3	NUM
cana-6093	91	27	.	.	NOUN
cana-6093	91	28	4.4	4.4	NUM
cana-6093	91	29	physics	physics	NOUN
cana-6093	91	30	-	-	PUNCT
cana-6093	91	31	based	base	VERB
cana-6093	91	32	inverse	inverse	NOUN
cana-6093	91	33	problems	problem	NOUN
cana-6093	91	34	physics	physics	NOUN
cana-6093	91	35	-	-	PUNCT
cana-6093	91	36	based	base	VERB
cana-6093	91	37	inverse	inverse	NOUN
cana-6093	91	38	problems	problem	NOUN
cana-6093	91	39	involve	involve	VERB
cana-6093	91	40	estimating	estimate	VERB
cana-6093	91	41	parameters	parameter	NOUN
cana-6093	91	42	or	or	CCONJ
cana-6093	91	43	fields	field	NOUN
cana-6093	91	44	in	in	ADP
cana-6093	91	45	systems	system	NOUN
cana-6093	91	46	governed	govern	VERB
cana-6093	91	47	by	by	ADP
cana-6093	91	48	physical	physical	ADJ
cana-6093	91	49	laws	law	NOUN
cana-6093	91	50	,	,	PUNCT
cana-6093	91	51	typically	typically	ADV
cana-6093	91	52	expressed	express	VERB
cana-6093	91	53	as	as	ADP
cana-6093	91	54	partial	partial	ADJ
cana-6093	91	55	differential	differential	ADJ
cana-6093	91	56	equations	equation	NOUN
cana-6093	91	57	(	(	PUNCT
cana-6093	91	58	pdes	pde	NOUN
cana-6093	91	59	)	)	PUNCT
cana-6093	91	60	14	14	NUM
cana-6093	91	61	.	.	PUNCT
cana-6093	92	1	these	these	PRON
cana-6093	92	2	include	include	VERB
cana-6093	92	3	problems	problem	NOUN
cana-6093	92	4	in	in	ADP
cana-6093	92	5	heat	heat	NOUN
cana-6093	92	6	conduction	conduction	NOUN
cana-6093	92	7	,	,	PUNCT
cana-6093	92	8	elasticity	elasticity	NOUN
cana-6093	92	9	,	,	PUNCT
cana-6093	92	10	electromagnetics	electromagnetic	NOUN
cana-6093	92	11	,	,	PUNCT
cana-6093	92	12	and	and	CCONJ
cana-6093	92	13	fluid	fluid	ADJ
cana-6093	92	14	dynamics	dynamic	NOUN
cana-6093	92	15	.	.	PUNCT
cana-6093	93	1	adler	adler	PROPN
cana-6093	93	2	and	and	CCONJ
cana-6093	93	3	öktem	öktem	PROPN
cana-6093	93	4	pioneered	pioneer	VERB
cana-6093	93	5	the	the	DET
cana-6093	93	6	use	use	NOUN
cana-6093	93	7	of	of	ADP
cana-6093	93	8	conditional	conditional	ADJ
cana-6093	93	9	wasserstein	wasserstein	NOUN
cana-6093	93	10	gans	gan	NOUN
cana-6093	93	11	for	for	ADP
cana-6093	93	12	solving	solve	VERB
cana-6093	93	13	bayesian	bayesian	NOUN
cana-6093	93	14	inverse	inverse	NOUN
cana-6093	93	15	problems	problem	NOUN
cana-6093	93	16	in	in	ADP
cana-6093	93	17	imaging	imaging	NOUN
cana-6093	93	18	and	and	CCONJ
cana-6093	93	19	physics	physics	NOUN
cana-6093	93	20	-	-	PUNCT
cana-6093	93	21	based	base	VERB
cana-6093	93	22	applications	application	NOUN
cana-6093	93	23	19	19	NUM
cana-6093	93	24	.	.	PUNCT
cana-6093	94	1	their	their	PRON
cana-6093	94	2	approach	approach	NOUN
cana-6093	94	3	used	use	VERB
cana-6093	94	4	cwgans	cwgan	NOUN
cana-6093	94	5	to	to	PART
cana-6093	94	6	learn	learn	VERB
cana-6093	94	7	posterior	posterior	ADJ
cana-6093	94	8	distributions	distribution	NOUN
cana-6093	94	9	directly	directly	ADV
cana-6093	94	10	from	from	ADP
cana-6093	94	11	data	datum	NOUN
cana-6093	94	12	,	,	PUNCT
cana-6093	94	13	enabling	enable	VERB
cana-6093	94	14	efficient	efficient	ADJ
cana-6093	94	15	sampling	sampling	NOUN
cana-6093	94	16	and	and	CCONJ
cana-6093	94	17	uncertainty	uncertainty	NOUN
cana-6093	94	18	quantification	quantification	NOUN
cana-6093	94	19	.	.	PUNCT
cana-6093	95	1	for	for	ADP
cana-6093	95	2	inverse	inverse	ADJ
cana-6093	95	3	heat	heat	NOUN
cana-6093	95	4	conduction	conduction	NOUN
cana-6093	95	5	problems	problem	NOUN
cana-6093	95	6	and	and	CCONJ
cana-6093	95	7	elastography	elastography	NOUN
cana-6093	95	8	,	,	PUNCT
cana-6093	95	9	cwgans	cwgan	NOUN
cana-6093	95	10	with	with	ADP
cana-6093	95	11	full	full	ADJ
cana-6093	95	12	gradient	gradient	NOUN
cana-6093	95	13	penalty	penalty	NOUN
cana-6093	95	14	(	(	PUNCT
cana-6093	95	15	full	full	ADJ
cana-6093	95	16	-	-	PUNCT
cana-6093	95	17	gp	gp	NOUN
cana-6093	95	18	)	)	PUNCT
cana-6093	95	19	demonstrated	demonstrate	VERB
cana-6093	95	20	superior	superior	ADJ
cana-6093	95	21	performance	performance	NOUN
cana-6093	95	22	in	in	ADP
cana-6093	95	23	approximating	approximate	VERB
cana-6093	95	24	posterior	posterior	ADJ
cana-6093	95	25	distributions	distribution	NOUN
cana-6093	95	26	compared	compare	VERB
cana-6093	95	27	to	to	ADP
cana-6093	95	28	traditional	traditional	ADJ
cana-6093	95	29	methods	method	NOUN
cana-6093	95	30	and	and	CCONJ
cana-6093	95	31	partial	partial	ADJ
cana-6093	95	32	gradient	gradient	NOUN
cana-6093	95	33	penalty	penalty	NOUN
cana-6093	95	34	approaches	approach	VERB
cana-6093	95	35	1	1	NUM
cana-6093	95	36	.	.	PUNCT
cana-6093	96	1	the	the	DET
cana-6093	96	2	full	full	ADJ
cana-6093	96	3	-	-	PUNCT
cana-6093	96	4	gp	gp	NOUN
cana-6093	96	5	formulation	formulation	NOUN
cana-6093	96	6	provided	provide	VERB
cana-6093	96	7	stronger	strong	ADJ
cana-6093	96	8	theoretical	theoretical	ADJ
cana-6093	96	9	guarantees	guarantee	NOUN
cana-6093	96	10	and	and	CCONJ
cana-6093	96	11	more	more	ADV
cana-6093	96	12	accurate	accurate	ADJ
cana-6093	96	13	uncertainty	uncertainty	NOUN
cana-6093	96	14	quantification	quantification	NOUN
cana-6093	96	15	.	.	PUNCT
cana-6093	97	1	physics	physics	NOUN
cana-6093	97	2	-	-	PUNCT
cana-6093	97	3	informed	inform	VERB
cana-6093	97	4	gans	gan	NOUN
cana-6093	97	5	have	have	AUX
cana-6093	97	6	also	also	ADV
cana-6093	97	7	been	be	AUX
cana-6093	97	8	developed	develop	VERB
cana-6093	97	9	to	to	PART
cana-6093	97	10	solve	solve	VERB
cana-6093	97	11	forward	forward	ADV
cana-6093	97	12	and	and	CCONJ
cana-6093	97	13	inverse	inverse	NOUN
cana-6093	97	14	problems	problem	NOUN
cana-6093	97	15	involving	involve	VERB
cana-6093	97	16	pdes	pde	NOUN
cana-6093	97	17	with	with	ADP
cana-6093	97	18	limited	limited	ADJ
cana-6093	97	19	labeled	label	VERB
cana-6093	97	20	data	datum	NOUN
cana-6093	97	21	4	4	NUM
cana-6093	97	22	.	.	PUNCT
cana-6093	98	1	these	these	DET
cana-6093	98	2	approaches	approach	NOUN
cana-6093	98	3	incorporate	incorporate	VERB
cana-6093	98	4	pde	pde	NOUN
cana-6093	98	5	constraints	constraint	NOUN
cana-6093	98	6	into	into	ADP
cana-6093	98	7	the	the	DET
cana-6093	98	8	adversarial	adversarial	ADJ
cana-6093	98	9	training	training	NOUN
cana-6093	98	10	process	process	NOUN
cana-6093	98	11	,	,	PUNCT
cana-6093	98	12	ensuring	ensure	VERB
cana-6093	98	13	generated	generate	VERB
cana-6093	98	14	solutions	solution	NOUN
cana-6093	98	15	satisfy	satisfy	VERB
cana-6093	98	16	physical	physical	ADJ
cana-6093	98	17	laws	law	NOUN
cana-6093	98	18	while	while	SCONJ
cana-6093	98	19	consistent	consistent	ADJ
cana-6093	98	20	with	with	ADP
cana-6093	98	21	measurement	measurement	NOUN
cana-6093	98	22	data	datum	NOUN
cana-6093	98	23	.	.	PUNCT
cana-6093	99	1	5.challenges	5.challenges	NUM
cana-6093	99	2	and	and	CCONJ
cana-6093	99	3	limitations	limitation	VERB
cana-6093	99	4	5.1	5.1	NUM
cana-6093	99	5	training	training	NOUN
cana-6093	99	6	instability	instability	NOUN
cana-6093	99	7	and	and	CCONJ
cana-6093	99	8	mode	mode	NOUN
cana-6093	99	9	collapse	collapse	NOUN
cana-6093	99	10	despite	despite	SCONJ
cana-6093	99	11	theoretical	theoretical	ADJ
cana-6093	99	12	advances	advance	NOUN
cana-6093	99	13	,	,	PUNCT
cana-6093	99	14	training	training	NOUN
cana-6093	99	15	instability	instability	NOUN
cana-6093	99	16	remains	remain	VERB
cana-6093	99	17	a	a	DET
cana-6093	99	18	significant	significant	ADJ
cana-6093	99	19	challenge	challenge	NOUN
cana-6093	99	20	in	in	ADP
cana-6093	99	21	gan	gan	NOUN
cana-6093	99	22	-	-	PUNCT
cana-6093	99	23	based	base	VERB
cana-6093	99	24	approaches	approach	NOUN
cana-6093	99	25	to	to	ADP
cana-6093	99	26	inverse	inverse	NOUN
cana-6093	99	27	problems	problem	NOUN
cana-6093	99	28	16	16	NUM
cana-6093	99	29	.	.	PUNCT
cana-6093	100	1	the	the	DET
cana-6093	100	2	adversarial	adversarial	ADJ
cana-6093	100	3	training	training	NOUN
cana-6093	100	4	process	process	NOUN
cana-6093	100	5	requires	require	VERB
cana-6093	100	6	careful	careful	ADJ
cana-6093	100	7	balancing	balancing	NOUN
cana-6093	100	8	of	of	ADP
cana-6093	100	9	generator	generator	NOUN
cana-6093	100	10	and	and	CCONJ
cana-6093	100	11	discriminator	discriminator	NOUN
cana-6093	100	12	capabilities	capability	NOUN
cana-6093	100	13	,	,	PUNCT
cana-6093	100	14	often	often	ADV
cana-6093	100	15	necessitating	necessitate	VERB
cana-6093	100	16	specialized	specialized	ADJ
cana-6093	100	17	techniques	technique	NOUN
cana-6093	100	18	such	such	ADJ
cana-6093	100	19	as	as	ADP
cana-6093	100	20	gradient	gradient	ADJ
cana-6093	100	21	penalty	penalty	NOUN
cana-6093	100	22	,	,	PUNCT
cana-6093	100	23	spectral	spectral	ADJ
cana-6093	100	24	normalization	normalization	NOUN
cana-6093	100	25	,	,	PUNCT
cana-6093	100	26	or	or	CCONJ
cana-6093	100	27	alternative	alternative	ADJ
cana-6093	100	28	loss	loss	NOUN
cana-6093	100	29	functions	function	NOUN
cana-6093	100	30	.	.	PUNCT
cana-6093	101	1	mode	mode	NOUN
cana-6093	101	2	collapse	collapse	NOUN
cana-6093	101	3	,	,	PUNCT
cana-6093	101	4	where	where	SCONJ
cana-6093	101	5	the	the	DET
cana-6093	101	6	generator	generator	NOUN
cana-6093	101	7	produces	produce	VERB
cana-6093	101	8	limited	limited	ADJ
cana-6093	101	9	diversity	diversity	NOUN
cana-6093	101	10	of	of	ADP
cana-6093	101	11	samples	sample	NOUN
cana-6093	101	12	,	,	PUNCT
cana-6093	101	13	is	be	AUX
cana-6093	101	14	particularly	particularly	ADV
cana-6093	101	15	problematic	problematic	ADJ
cana-6093	101	16	for	for	ADP
cana-6093	101	17	inverse	inverse	NOUN
cana-6093	101	18	problems	problem	NOUN
cana-6093	101	19	with	with	ADP
cana-6093	101	20	multi	multi	ADJ
cana-6093	101	21	-	-	ADJ
cana-6093	101	22	modal	modal	ADJ
cana-6093	101	23	posterior	posterior	NOUN
cana-6093	101	24	distributions	distribution	NOUN
cana-6093	101	25	6	6	NUM
cana-6093	101	26	.	.	PUNCT
cana-6093	102	1	various	various	ADJ
cana-6093	102	2	approaches	approach	NOUN
cana-6093	102	3	have	have	AUX
cana-6093	102	4	been	be	AUX
cana-6093	102	5	developed	develop	VERB
cana-6093	102	6	to	to	PART
cana-6093	102	7	address	address	VERB
cana-6093	102	8	this	this	DET
cana-6093	102	9	issue	issue	NOUN
cana-6093	102	10	,	,	PUNCT
cana-6093	102	11	including	include	VERB
cana-6093	102	12	minibatch	minibatch	NOUN
cana-6093	102	13	discrimination	discrimination	NOUN
cana-6093	102	14	,	,	PUNCT
cana-6093	102	15	unrolled	unroll	VERB
cana-6093	102	16	gans	gan	NOUN
cana-6093	102	17	,	,	PUNCT
cana-6093	102	18	and	and	CCONJ
cana-6093	102	19	variational	variational	ADJ
cana-6093	102	20	methods	method	NOUN
cana-6093	102	21	that	that	PRON
cana-6093	102	22	encourage	encourage	VERB
cana-6093	102	23	diversity	diversity	NOUN
cana-6093	102	24	.	.	PUNCT
cana-6093	103	1	https://pmc.ncbi.nlm.nih.gov/articles/pmc9137882/	https://pmc.ncbi.nlm.nih.gov/articles/pmc9137882/	PROPN
cana-6093	103	2	https://pmc.ncbi.nlm.nih.gov/articles/pmc9137882/	https://pmc.ncbi.nlm.nih.gov/articles/pmc9137882/	PROPN
cana-6093	103	3	https://arxiv.org/html/2311.11343v3	https://arxiv.org/html/2311.11343v3	NOUN
cana-6093	103	4	https://arxiv.org/html/2311.11343v3	https://arxiv.org/html/2311.11343v3	NOUN
cana-6093	103	5	https://arxiv.org/html/2311.11343v3	https://arxiv.org/html/2311.11343v3	NOUN
cana-6093	103	6	https://arxiv.org/html/2311.11343v3	https://arxiv.org/html/2311.11343v3	NOUN
cana-6093	103	7	https://www.sciencedirect.com/science/article/abs/pii/s0045782523004620	https://www.sciencedirect.com/science/article/abs/pii/s0045782523004620	PROPN
cana-6093	103	8	https://www.sciencedirect.com/science/article/abs/pii/s089812212500032x	https://www.sciencedirect.com/science/article/abs/pii/s089812212500032x	PROPN
cana-6093	103	9	https://www.sciencedirect.com/science/article/abs/pii/s0045782523004620	https://www.sciencedirect.com/science/article/abs/pii/s0045782523004620	PROPN
cana-6093	103	10	https://pmc.ncbi.nlm.nih.gov/articles/pmc12177523/	https://pmc.ncbi.nlm.nih.gov/articles/pmc12177523/	PROPN
cana-6093	103	11	https://www.sciencedirect.com/science/article/abs/pii/s0045782523004620	https://www.sciencedirect.com/science/article/abs/pii/s0045782523004620	PROPN
cana-6093	103	12	https://www.sciencedirect.com/science/article/abs/pii/s089812212500032x	https://www.sciencedirect.com/science/article/abs/pii/s089812212500032x	PROPN
cana-6093	103	13	https://www.sciencedirect.com/science/article/abs/pii/s0045782523004620	https://www.sciencedirect.com/science/article/abs/pii/s0045782523004620	PROPN
cana-6093	103	14	https://arxiv.org/html/2506.18002v1	https://arxiv.org/html/2506.18002v1	PROPN
cana-6093	103	15	https://arxiv.org/html/2506.18002v1	https://arxiv.org/html/2506.18002v1	PROPN
cana-6093	103	16	communications	communication	NOUN
cana-6093	103	17	on	on	ADP
cana-6093	103	18	applied	apply	VERB
cana-6093	103	19	nonlinear	nonlinear	ADJ
cana-6093	103	20	analysis	analysis	NOUN
cana-6093	103	21	issn	issn	NOUN
cana-6093	103	22	:	:	PUNCT
cana-6093	103	23	1074	1074	NUM
cana-6093	103	24	-	-	PUNCT
cana-6093	103	25	133x	133x	NUM
cana-6093	103	26	vol	vol	NOUN
cana-6093	103	27	31	31	NUM
cana-6093	103	28	no	no	NOUN
cana-6093	103	29	.	.	NOUN
cana-6093	103	30	1	1	NUM
cana-6093	103	31	(	(	PUNCT
cana-6093	103	32	2024	2024	NUM
cana-6093	103	33	)	)	PUNCT
cana-6093	103	34	371	371	NUM
cana-6093	103	35	https://internationalpubls.com	https://internationalpubls.com	X
cana-6093	103	36	5.2	5.2	NUM
cana-6093	103	37	theoretical	theoretical	ADJ
cana-6093	103	38	guarantees	guarantee	NOUN
cana-6093	103	39	and	and	CCONJ
cana-6093	103	40	interpretability	interpretability	NOUN
cana-6093	103	41	while	while	SCONJ
cana-6093	103	42	empirical	empirical	ADJ
cana-6093	103	43	results	result	NOUN
cana-6093	103	44	have	have	AUX
cana-6093	103	45	demonstrated	demonstrate	VERB
cana-6093	103	46	the	the	DET
cana-6093	103	47	effectiveness	effectiveness	NOUN
cana-6093	103	48	of	of	ADP
cana-6093	103	49	gans	gan	NOUN
cana-6093	103	50	for	for	ADP
cana-6093	103	51	inverse	inverse	NOUN
cana-6093	103	52	problems	problem	NOUN
cana-6093	103	53	,	,	PUNCT
cana-6093	103	54	theoretical	theoretical	ADJ
cana-6093	103	55	guarantees	guarantee	NOUN
cana-6093	103	56	regarding	regard	VERB
cana-6093	103	57	convergence	convergence	NOUN
cana-6093	103	58	,	,	PUNCT
cana-6093	103	59	stability	stability	NOUN
cana-6093	103	60	,	,	PUNCT
cana-6093	103	61	and	and	CCONJ
cana-6093	103	62	solution	solution	NOUN
cana-6093	103	63	quality	quality	NOUN
cana-6093	103	64	remain	remain	VERB
cana-6093	103	65	limited	limited	ADJ
cana-6093	103	66	compared	compare	VERB
cana-6093	103	67	to	to	ADP
cana-6093	103	68	traditional	traditional	ADJ
cana-6093	103	69	regularization	regularization	NOUN
cana-6093	103	70	methods	method	NOUN
cana-6093	103	71	19	19	NUM
cana-6093	103	72	.	.	PUNCT
cana-6093	104	1	the	the	DET
cana-6093	104	2	black	black	ADJ
cana-6093	104	3	-	-	PUNCT
cana-6093	104	4	box	box	NOUN
cana-6093	104	5	nature	nature	NOUN
cana-6093	104	6	of	of	ADP
cana-6093	104	7	deep	deep	ADJ
cana-6093	104	8	neural	neural	ADJ
cana-6093	104	9	networks	network	NOUN
cana-6093	104	10	also	also	ADV
cana-6093	104	11	raises	raise	VERB
cana-6093	104	12	concerns	concern	NOUN
cana-6093	104	13	about	about	ADP
cana-6093	104	14	interpretability	interpretability	NOUN
cana-6093	104	15	and	and	CCONJ
cana-6093	104	16	trustworthiness	trustworthiness	NOUN
cana-6093	104	17	,	,	PUNCT
cana-6093	104	18	particularly	particularly	ADV
cana-6093	104	19	in	in	ADP
cana-6093	104	20	safety	safety	NOUN
cana-6093	104	21	-	-	PUNCT
cana-6093	104	22	critical	critical	ADJ
cana-6093	104	23	applications	application	NOUN
cana-6093	104	24	like	like	ADP
cana-6093	104	25	medical	medical	ADJ
cana-6093	104	26	diagnosis	diagnosis	NOUN
cana-6093	104	27	or	or	CCONJ
cana-6093	104	28	structural	structural	ADJ
cana-6093	104	29	design	design	NOUN
cana-6093	104	30	.	.	PUNCT
cana-6093	105	1	recent	recent	ADJ
cana-6093	105	2	work	work	NOUN
cana-6093	105	3	has	have	AUX
cana-6093	105	4	begun	begin	VERB
cana-6093	105	5	establishing	establish	VERB
cana-6093	105	6	theoretical	theoretical	ADJ
cana-6093	105	7	foundations	foundation	NOUN
cana-6093	105	8	for	for	ADP
cana-6093	105	9	gan	gan	NOUN
cana-6093	105	10	-	-	PUNCT
cana-6093	105	11	based	base	VERB
cana-6093	105	12	inversion	inversion	NOUN
cana-6093	105	13	.	.	PUNCT
cana-6093	106	1	for	for	ADP
cana-6093	106	2	example	example	NOUN
cana-6093	106	3	,	,	PUNCT
cana-6093	106	4	improved	improve	VERB
cana-6093	106	5	cwgan	cwgan	ADJ
cana-6093	106	6	formulations	formulation	NOUN
cana-6093	106	7	with	with	ADP
cana-6093	106	8	full	full	ADJ
cana-6093	106	9	gradient	gradient	NOUN
cana-6093	106	10	penalty	penalty	NOUN
cana-6093	106	11	have	have	VERB
cana-6093	106	12	stronger	strong	ADJ
cana-6093	106	13	convergence	convergence	NOUN
cana-6093	106	14	guarantees	guarantee	NOUN
cana-6093	106	15	,	,	PUNCT
cana-6093	106	16	with	with	ADP
cana-6093	106	17	generators	generator	NOUN
cana-6093	106	18	converging	converge	VERB
cana-6093	106	19	to	to	ADP
cana-6093	106	20	true	true	ADJ
cana-6093	106	21	conditional	conditional	ADJ
cana-6093	106	22	distributions	distribution	NOUN
cana-6093	106	23	under	under	ADP
cana-6093	106	24	appropriate	appropriate	ADJ
cana-6093	106	25	conditions	condition	NOUN
cana-6093	106	26	1	1	NUM
cana-6093	106	27	.	.	PUNCT
cana-6093	107	1	however	however	ADV
cana-6093	107	2	,	,	PUNCT
cana-6093	107	3	further	further	ADJ
cana-6093	107	4	theoretical	theoretical	ADJ
cana-6093	107	5	development	development	NOUN
cana-6093	107	6	is	be	AUX
cana-6093	107	7	needed	need	VERB
cana-6093	107	8	to	to	PART
cana-6093	107	9	fully	fully	ADV
cana-6093	107	10	understand	understand	VERB
cana-6093	107	11	the	the	DET
cana-6093	107	12	properties	property	NOUN
cana-6093	107	13	and	and	CCONJ
cana-6093	107	14	limitations	limitation	NOUN
cana-6093	107	15	of	of	ADP
cana-6093	107	16	these	these	DET
cana-6093	107	17	approaches	approach	NOUN
cana-6093	107	18	.	.	PUNCT
cana-6093	108	1	5.3	5.3	NUM
cana-6093	108	2	data	datum	NOUN
cana-6093	108	3	requirements	requirement	NOUN
cana-6093	108	4	and	and	CCONJ
cana-6093	108	5	generalization	generalization	NOUN
cana-6093	108	6	gans	gan	NOUN
cana-6093	108	7	typically	typically	ADV
cana-6093	108	8	require	require	VERB
cana-6093	108	9	large	large	ADJ
cana-6093	108	10	training	training	NOUN
cana-6093	108	11	datasets	dataset	NOUN
cana-6093	108	12	to	to	PART
cana-6093	108	13	learn	learn	VERB
cana-6093	108	14	complex	complex	ADJ
cana-6093	108	15	distributions	distribution	NOUN
cana-6093	108	16	effectively	effectively	ADV
cana-6093	108	17	810	810	NUM
cana-6093	108	18	.	.	PUNCT
cana-6093	109	1	this	this	PRON
cana-6093	109	2	presents	present	VERB
cana-6093	109	3	challenges	challenge	NOUN
cana-6093	109	4	in	in	ADP
cana-6093	109	5	domains	domain	NOUN
cana-6093	109	6	where	where	SCONJ
cana-6093	109	7	data	datum	NOUN
cana-6093	109	8	is	be	AUX
cana-6093	109	9	scarce	scarce	ADJ
cana-6093	109	10	,	,	PUNCT
cana-6093	109	11	expensive	expensive	ADJ
cana-6093	109	12	to	to	PART
cana-6093	109	13	acquire	acquire	VERB
cana-6093	109	14	,	,	PUNCT
cana-6093	109	15	or	or	CCONJ
cana-6093	109	16	difficult	difficult	ADJ
cana-6093	109	17	to	to	PART
cana-6093	109	18	label	label	VERB
cana-6093	109	19	.	.	PUNCT
cana-6093	110	1	for	for	ADP
cana-6093	110	2	example	example	NOUN
cana-6093	110	3	,	,	PUNCT
cana-6093	110	4	in	in	ADP
cana-6093	110	5	seismic	seismic	ADJ
cana-6093	110	6	inversion	inversion	NOUN
cana-6093	110	7	,	,	PUNCT
cana-6093	110	8	high	high	ADJ
cana-6093	110	9	-	-	PUNCT
cana-6093	110	10	quality	quality	NOUN
cana-6093	110	11	ground	ground	NOUN
cana-6093	110	12	motion	motion	NOUN
cana-6093	110	13	records	record	NOUN
cana-6093	110	14	with	with	ADP
cana-6093	110	15	corresponding	correspond	VERB
cana-6093	110	16	response	response	NOUN
cana-6093	110	17	spectra	spectra	NOUN
cana-6093	110	18	are	be	AUX
cana-6093	110	19	limited	limit	VERB
cana-6093	110	20	,	,	PUNCT
cana-6093	110	21	particularly	particularly	ADV
cana-6093	110	22	for	for	ADP
cana-6093	110	23	rare	rare	ADJ
cana-6093	110	24	extreme	extreme	ADJ
cana-6093	110	25	events	event	NOUN
cana-6093	110	26	.	.	PUNCT
cana-6093	111	1	generalization	generalization	NOUN
cana-6093	111	2	beyond	beyond	ADP
cana-6093	111	3	the	the	DET
cana-6093	111	4	training	training	NOUN
cana-6093	111	5	distribution	distribution	NOUN
cana-6093	111	6	is	be	AUX
cana-6093	111	7	another	another	DET
cana-6093	111	8	significant	significant	ADJ
cana-6093	111	9	concern	concern	NOUN
cana-6093	111	10	.	.	PUNCT
cana-6093	112	1	gans	gan	NOUN
cana-6093	112	2	may	may	AUX
cana-6093	112	3	struggle	struggle	VERB
cana-6093	112	4	with	with	ADP
cana-6093	112	5	out	out	ADV
cana-6093	112	6	-	-	PUNCT
cana-6093	112	7	of	of	ADP
cana-6093	112	8	-	-	PUNCT
cana-6093	112	9	distribution	distribution	NOUN
cana-6093	112	10	inputs	input	NOUN
cana-6093	112	11	,	,	PUNCT
cana-6093	112	12	producing	produce	VERB
cana-6093	112	13	unrealistic	unrealistic	ADJ
cana-6093	112	14	or	or	CCONJ
cana-6093	112	15	inaccurate	inaccurate	ADJ
cana-6093	112	16	results	result	NOUN
cana-6093	112	17	when	when	SCONJ
cana-6093	112	18	presented	present	VERB
cana-6093	112	19	with	with	ADP
cana-6093	112	20	measurement	measurement	NOUN
cana-6093	112	21	data	datum	NOUN
cana-6093	112	22	that	that	PRON
cana-6093	112	23	differs	differ	VERB
cana-6093	112	24	substantially	substantially	ADV
cana-6093	112	25	from	from	ADP
cana-6093	112	26	training	train	VERB
cana-6093	112	27	examples	example	NOUN
cana-6093	112	28	10	10	NUM
cana-6093	112	29	.	.	PUNCT
cana-6093	113	1	this	this	DET
cana-6093	113	2	limitation	limitation	NOUN
cana-6093	113	3	is	be	AUX
cana-6093	113	4	particularly	particularly	ADV
cana-6093	113	5	problematic	problematic	ADJ
cana-6093	113	6	for	for	ADP
cana-6093	113	7	inverse	inverse	NOUN
cana-6093	113	8	problems	problem	NOUN
cana-6093	113	9	where	where	SCONJ
cana-6093	113	10	the	the	DET
cana-6093	113	11	measurement	measurement	NOUN
cana-6093	113	12	process	process	NOUN
cana-6093	113	13	may	may	AUX
cana-6093	113	14	vary	vary	VERB
cana-6093	113	15	or	or	CCONJ
cana-6093	113	16	where	where	SCONJ
cana-6093	113	17	novel	novel	ADJ
cana-6093	113	18	scenarios	scenario	NOUN
cana-6093	113	19	may	may	AUX
cana-6093	113	20	arise	arise	VERB
cana-6093	113	21	.	.	PUNCT
cana-6093	114	1	5.4	5.4	NUM
cana-6093	114	2	computational	computational	ADJ
cana-6093	114	3	costs	cost	NOUN
cana-6093	114	4	and	and	CCONJ
cana-6093	114	5	resource	resource	NOUN
cana-6093	114	6	requirements	requirement	NOUN
cana-6093	114	7	while	while	SCONJ
cana-6093	114	8	gans	gan	NOUN
cana-6093	114	9	can	can	AUX
cana-6093	114	10	accelerate	accelerate	VERB
cana-6093	114	11	inference	inference	NOUN
cana-6093	114	12	once	once	ADV
cana-6093	114	13	trained	train	VERB
cana-6093	114	14	,	,	PUNCT
cana-6093	114	15	the	the	DET
cana-6093	114	16	training	training	NOUN
cana-6093	114	17	process	process	NOUN
cana-6093	114	18	itself	itself	PRON
cana-6093	114	19	is	be	AUX
cana-6093	114	20	computationally	computationally	ADV
cana-6093	114	21	intensive	intensive	ADJ
cana-6093	114	22	,	,	PUNCT
cana-6093	114	23	requiring	require	VERB
cana-6093	114	24	substantial	substantial	ADJ
cana-6093	114	25	computational	computational	ADJ
cana-6093	114	26	resources	resource	NOUN
cana-6093	114	27	and	and	CCONJ
cana-6093	114	28	time	time	NOUN
cana-6093	114	29	8	8	NUM
cana-6093	114	30	.	.	PUNCT
cana-6093	115	1	for	for	ADP
cana-6093	115	2	example	example	NOUN
cana-6093	115	3	,	,	PUNCT
cana-6093	115	4	training	train	VERB
cana-6093	115	5	the	the	DET
cana-6093	115	6	accelerogram	accelerogram	PROPN
cana-6093	115	7	gan	gan	PROPN
cana-6093	115	8	model	model	PROPN
cana-6093	115	9	required	require	VERB
cana-6093	115	10	22.5	22.5	NUM
cana-6093	115	11	hours	hour	NOUN
cana-6093	115	12	,	,	PUNCT
cana-6093	115	13	though	though	SCONJ
cana-6093	115	14	this	this	DET
cana-6093	115	15	upfront	upfront	ADJ
cana-6093	115	16	cost	cost	NOUN
cana-6093	115	17	is	be	AUX
cana-6093	115	18	amortized	amortize	VERB
cana-6093	115	19	over	over	ADP
cana-6093	115	20	numerous	numerous	ADJ
cana-6093	115	21	generations	generation	NOUN
cana-6093	115	22	8	8	NUM
cana-6093	115	23	.	.	PUNCT
cana-6093	116	1	the	the	DET
cana-6093	116	2	memory	memory	NOUN
cana-6093	116	3	requirements	requirement	NOUN
cana-6093	116	4	of	of	ADP
cana-6093	116	5	gan	gan	PROPN
cana-6093	116	6	models	model	NOUN
cana-6093	116	7	can	can	AUX
cana-6093	116	8	also	also	ADV
cana-6093	116	9	be	be	AUX
cana-6093	116	10	significant	significant	ADJ
cana-6093	116	11	,	,	PUNCT
cana-6093	116	12	particularly	particularly	ADV
cana-6093	116	13	for	for	ADP
cana-6093	116	14	high	high	ADJ
cana-6093	116	15	-	-	PUNCT
cana-6093	116	16	dimensional	dimensional	ADJ
cana-6093	116	17	problems	problem	NOUN
cana-6093	116	18	.	.	PUNCT
cana-6093	117	1	as	as	SCONJ
cana-6093	117	2	shown	show	VERB
cana-6093	117	3	in	in	ADP
cana-6093	117	4	table	table	NOUN
cana-6093	117	5	1	1	NUM
cana-6093	117	6	of	of	ADP
cana-6093	117	7	3	3	NUM
cana-6093	117	8	,	,	PUNCT
cana-6093	117	9	different	different	ADJ
cana-6093	117	10	conditioning	conditioning	NOUN
cana-6093	117	11	approaches	approach	NOUN
cana-6093	117	12	have	have	VERB
cana-6093	117	13	varying	vary	VERB
cana-6093	117	14	parameter	parameter	NOUN
cana-6093	117	15	counts	count	NOUN
cana-6093	117	16	and	and	CCONJ
cana-6093	117	17	memory	memory	NOUN
cana-6093	117	18	footprints	footprint	NOUN
cana-6093	117	19	,	,	PUNCT
cana-6093	117	20	with	with	ADP
cana-6093	117	21	binary	binary	ADJ
cana-6093	117	22	embedding	embed	VERB
cana-6093	117	23	approaches	approach	NOUN
cana-6093	117	24	offering	offer	VERB
cana-6093	117	25	favorable	favorable	ADJ
cana-6093	117	26	efficiency	efficiency	NOUN
cana-6093	117	27	compared	compare	VERB
cana-6093	117	28	to	to	ADP
cana-6093	117	29	class	class	NOUN
cana-6093	117	30	-	-	PUNCT
cana-6093	117	31	based	base	VERB
cana-6093	117	32	conditioning	conditioning	NOUN
cana-6093	117	33	.	.	PUNCT
cana-6093	118	1	challenge	challenge	NOUN
cana-6093	118	2	impact	impact	NOUN
cana-6093	118	3	on	on	ADP
cana-6093	118	4	inverse	inverse	NOUN
cana-6093	118	5	problems	problem	NOUN
cana-6093	118	6	potential	potential	ADJ
cana-6093	118	7	solutions	solution	NOUN
cana-6093	118	8	training	training	NOUN
cana-6093	118	9	instability	instability	NOUN
cana-6093	118	10	unpredictable	unpredictable	ADJ
cana-6093	118	11	results	result	NOUN
cana-6093	118	12	,	,	PUNCT
cana-6093	118	13	need	need	VERB
cana-6093	118	14	for	for	ADP
cana-6093	118	15	extensive	extensive	ADJ
cana-6093	118	16	tuning	tuning	NOUN
cana-6093	118	17	wgan	wgan	VERB
cana-6093	118	18	-	-	PUNCT
cana-6093	118	19	gp	gp	NOUN
cana-6093	118	20	,	,	PUNCT
cana-6093	118	21	spectral	spectral	ADJ
cana-6093	118	22	normalization	normalization	NOUN
cana-6093	118	23	,	,	PUNCT
cana-6093	118	24	progressive	progressive	ADJ
cana-6093	118	25	growing	grow	VERB
cana-6093	118	26	mode	mode	NOUN
cana-6093	118	27	collapse	collapse	NOUN
cana-6093	118	28	limited	limit	VERB
cana-6093	118	29	diversity	diversity	NOUN
cana-6093	118	30	,	,	PUNCT
cana-6093	118	31	incomplete	incomplete	ADJ
cana-6093	118	32	exploration	exploration	NOUN
cana-6093	118	33	of	of	ADP
cana-6093	118	34	solution	solution	NOUN
cana-6093	118	35	space	space	NOUN
cana-6093	118	36	minibatch	minibatch	NOUN
cana-6093	118	37	discrimination	discrimination	NOUN
cana-6093	118	38	,	,	PUNCT
cana-6093	118	39	unrolled	unroll	VERB
cana-6093	118	40	gans	gan	NOUN
cana-6093	118	41	,	,	PUNCT
cana-6093	118	42	variational	variational	ADJ
cana-6093	118	43	approaches	approach	NOUN
cana-6093	118	44	theoretical	theoretical	ADJ
cana-6093	118	45	limitations	limitation	NOUN
cana-6093	118	46	uncertain	uncertain	ADJ
cana-6093	118	47	reliability	reliability	NOUN
cana-6093	118	48	for	for	ADP
cana-6093	118	49	critical	critical	ADJ
cana-6093	118	50	applications	application	NOUN
cana-6093	118	51	improved	improve	VERB
cana-6093	118	52	formulations	formulation	NOUN
cana-6093	118	53	with	with	ADP
cana-6093	118	54	stronger	strong	ADJ
cana-6093	118	55	guarantees	guarantee	NOUN
cana-6093	118	56	1	1	NUM
cana-6093	118	57	data	datum	NOUN
cana-6093	118	58	requirements	requirement	NOUN
cana-6093	118	59	limited	limit	VERB
cana-6093	118	60	applicability	applicability	NOUN
cana-6093	118	61	in	in	ADP
cana-6093	118	62	data	data	NOUN
cana-6093	118	63	-	-	PUNCT
cana-6093	118	64	scarce	scarce	NOUN
cana-6093	118	65	domains	domain	NOUN
cana-6093	118	66	data	datum	NOUN
cana-6093	118	67	augmentation	augmentation	NOUN
cana-6093	118	68	,	,	PUNCT
cana-6093	118	69	transfer	transfer	NOUN
cana-6093	118	70	learning	learning	NOUN
cana-6093	118	71	,	,	PUNCT
cana-6093	118	72	few	few	ADJ
cana-6093	118	73	-	-	PUNCT
cana-6093	118	74	shot	shot	NOUN
cana-6093	118	75	learning	learn	VERB
cana-6093	118	76	generalization	generalization	NOUN
cana-6093	118	77	issues	issue	VERB
cana-6093	118	78	poor	poor	ADJ
cana-6093	118	79	performance	performance	NOUN
cana-6093	118	80	on	on	ADP
cana-6093	118	81	out	out	ADJ
cana-6093	118	82	-	-	PUNCT
cana-6093	118	83	ofdistribution	ofdistribution	NOUN
cana-6093	118	84	inputs	input	NOUN
cana-6093	118	85	regularization	regularization	NOUN
cana-6093	118	86	,	,	PUNCT
cana-6093	118	87	domain	domain	NOUN
cana-6093	118	88	adaptation	adaptation	NOUN
cana-6093	118	89	,	,	PUNCT
cana-6093	118	90	uncertainty	uncertainty	NOUN
cana-6093	118	91	quantification	quantification	NOUN
cana-6093	118	92	computational	computational	ADJ
cana-6093	118	93	costs	cost	NOUN
cana-6093	118	94	high	high	ADJ
cana-6093	118	95	resource	resource	NOUN
cana-6093	118	96	requirements	requirement	NOUN
cana-6093	118	97	for	for	ADP
cana-6093	118	98	training	training	NOUN
cana-6093	118	99	model	model	NOUN
cana-6093	118	100	compression	compression	NOUN
cana-6093	118	101	,	,	PUNCT
cana-6093	118	102	efficient	efficient	ADJ
cana-6093	118	103	architectures	architecture	NOUN
cana-6093	118	104	,	,	PUNCT
cana-6093	118	105	distributed	distribute	VERB
cana-6093	118	106	training	training	NOUN
cana-6093	118	107	table	table	NOUN
cana-6093	118	108	3	3	NUM
cana-6093	118	109	:	:	PUNCT
cana-6093	118	110	challenges	challenge	NOUN
cana-6093	118	111	and	and	CCONJ
cana-6093	118	112	potential	potential	ADJ
cana-6093	118	113	solutions	solution	NOUN
cana-6093	118	114	in	in	ADP
cana-6093	118	115	gan	gan	NOUN
cana-6093	118	116	-	-	PUNCT
cana-6093	118	117	based	base	VERB
cana-6093	118	118	inverse	inverse	NOUN
cana-6093	118	119	problem	problem	NOUN
cana-6093	118	120	solving	solve	VERB
cana-6093	118	121	https://www.sciencedirect.com/science/article/abs/pii/s0045782523004620	https://www.sciencedirect.com/science/article/abs/pii/s0045782523004620	PROPN
cana-6093	118	122	https://pmc.ncbi.nlm.nih.gov/articles/pmc12177523/	https://pmc.ncbi.nlm.nih.gov/articles/pmc12177523/	NOUN
cana-6093	118	123	https://www.sciencedirect.com/science/article/abs/pii/s0045782523004620	https://www.sciencedirect.com/science/article/abs/pii/s0045782523004620	NOUN
cana-6093	118	124	https://www.sciencedirect.com/science/article/abs/pii/s0266352x24005020	https://www.sciencedirect.com/science/article/abs/pii/s0266352x24005020	NOUN
cana-6093	118	125	https://pmc.ncbi.nlm.nih.gov/articles/pmc9137882/	https://pmc.ncbi.nlm.nih.gov/articles/pmc9137882/	PROPN
cana-6093	118	126	https://pmc.ncbi.nlm.nih.gov/articles/pmc9137882/	https://pmc.ncbi.nlm.nih.gov/articles/pmc9137882/	NOUN
cana-6093	118	127	https://www.sciencedirect.com/science/article/abs/pii/s0266352x24005020	https://www.sciencedirect.com/science/article/abs/pii/s0266352x24005020	NOUN
cana-6093	118	128	https://www.sciencedirect.com/science/article/abs/pii/s0266352x24005020	https://www.sciencedirect.com/science/article/abs/pii/s0266352x24005020	PRON
cana-6093	118	129	https://arxiv.org/html/2311.11343v3	https://arxiv.org/html/2311.11343v3	NOUN
cana-6093	118	130	https://www.sciencedirect.com/science/article/abs/pii/s0045782523004620	https://www.sciencedirect.com/science/article/abs/pii/s0045782523004620	NOUN
cana-6093	118	131	communications	communication	NOUN
cana-6093	118	132	on	on	ADP
cana-6093	118	133	applied	apply	VERB
cana-6093	118	134	nonlinear	nonlinear	ADJ
cana-6093	118	135	analysis	analysis	NOUN
cana-6093	118	136	issn	issn	NOUN
cana-6093	118	137	:	:	PUNCT
cana-6093	118	138	1074	1074	NUM
cana-6093	118	139	-	-	PUNCT
cana-6093	118	140	133x	133x	NUM
cana-6093	118	141	vol	vol	NOUN
cana-6093	118	142	31	31	NUM
cana-6093	118	143	no	no	NOUN
cana-6093	118	144	.	.	NOUN
cana-6093	118	145	1	1	NUM
cana-6093	118	146	(	(	PUNCT
cana-6093	118	147	2024	2024	NUM
cana-6093	118	148	)	)	PUNCT
cana-6093	118	149	372	372	NUM
cana-6093	118	150	https://internationalpubls.com	https://internationalpubls.com	X
cana-6093	118	151	6.future	6.future	NUM
cana-6093	118	152	directions	direction	NOUN
cana-6093	118	153	6.1	6.1	NUM
cana-6093	118	154	integration	integration	NOUN
cana-6093	118	155	with	with	ADP
cana-6093	118	156	physical	physical	ADJ
cana-6093	118	157	models	model	NOUN
cana-6093	118	158	and	and	CCONJ
cana-6093	118	159	domain	domain	NOUN
cana-6093	118	160	knowledge	knowledge	NOUN
cana-6093	118	161	future	future	ADJ
cana-6093	118	162	research	research	NOUN
cana-6093	118	163	should	should	AUX
cana-6093	118	164	further	far	ADV
cana-6093	118	165	explore	explore	VERB
cana-6093	118	166	the	the	DET
cana-6093	118	167	integration	integration	NOUN
cana-6093	118	168	of	of	ADP
cana-6093	118	169	physical	physical	ADJ
cana-6093	118	170	knowledge	knowledge	NOUN
cana-6093	118	171	with	with	ADP
cana-6093	118	172	data	data	NOUN
cana-6093	118	173	-	-	PUNCT
cana-6093	118	174	driven	drive	VERB
cana-6093	118	175	gan	gan	PROPN
cana-6093	118	176	approaches	approach	VERB
cana-6093	118	177	45	45	NUM
cana-6093	118	178	.	.	PUNCT
cana-6093	119	1	physics	physics	NOUN
cana-6093	119	2	-	-	PUNCT
cana-6093	119	3	informed	inform	VERB
cana-6093	119	4	gans	gan	NOUN
cana-6093	119	5	that	that	PRON
cana-6093	119	6	incorporate	incorporate	VERB
cana-6093	119	7	governing	govern	VERB
cana-6093	119	8	equations	equation	NOUN
cana-6093	119	9	,	,	PUNCT
cana-6093	119	10	boundary	boundary	ADJ
cana-6093	119	11	conditions	condition	NOUN
cana-6093	119	12	,	,	PUNCT
cana-6093	119	13	and	and	CCONJ
cana-6093	119	14	other	other	ADJ
cana-6093	119	15	physical	physical	ADJ
cana-6093	119	16	constraints	constraint	NOUN
cana-6093	119	17	can	can	AUX
cana-6093	119	18	improve	improve	VERB
cana-6093	119	19	generalization	generalization	NOUN
cana-6093	119	20	,	,	PUNCT
cana-6093	119	21	reduce	reduce	VERB
cana-6093	119	22	data	datum	NOUN
cana-6093	119	23	requirements	requirement	NOUN
cana-6093	119	24	,	,	PUNCT
cana-6093	119	25	and	and	CCONJ
cana-6093	119	26	enhance	enhance	VERB
cana-6093	119	27	the	the	DET
cana-6093	119	28	physical	physical	ADJ
cana-6093	119	29	plausibility	plausibility	NOUN
cana-6093	119	30	of	of	ADP
cana-6093	119	31	generated	generate	VERB
cana-6093	119	32	solutions	solution	NOUN
cana-6093	119	33	.	.	PUNCT
cana-6093	120	1	hybrid	hybrid	ADJ
cana-6093	120	2	approaches	approach	NOUN
cana-6093	120	3	that	that	PRON
cana-6093	120	4	combine	combine	VERB
cana-6093	120	5	traditional	traditional	ADJ
cana-6093	120	6	numerical	numerical	ADJ
cana-6093	120	7	methods	method	NOUN
cana-6093	120	8	with	with	ADP
cana-6093	120	9	gan	gan	NOUN
cana-6093	120	10	-	-	PUNCT
cana-6093	120	11	based	base	VERB
cana-6093	120	12	components	component	NOUN
cana-6093	120	13	offer	offer	VERB
cana-6093	120	14	promising	promise	VERB
cana-6093	120	15	directions	direction	NOUN
cana-6093	120	16	.	.	PUNCT
cana-6093	121	1	for	for	ADP
cana-6093	121	2	example	example	NOUN
cana-6093	121	3	,	,	PUNCT
cana-6093	121	4	gans	gan	NOUN
cana-6093	121	5	could	could	AUX
cana-6093	121	6	learn	learn	VERB
cana-6093	121	7	prior	prior	ADJ
cana-6093	121	8	distributions	distribution	NOUN
cana-6093	121	9	or	or	CCONJ
cana-6093	121	10	regularization	regularization	NOUN
cana-6093	121	11	functions	function	NOUN
cana-6093	121	12	that	that	PRON
cana-6093	121	13	are	be	AUX
cana-6093	121	14	then	then	ADV
cana-6093	121	15	used	use	VERB
cana-6093	121	16	within	within	ADP
cana-6093	121	17	traditional	traditional	ADJ
cana-6093	121	18	optimization	optimization	NOUN
cana-6093	121	19	frameworks	framework	NOUN
cana-6093	121	20	,	,	PUNCT
cana-6093	121	21	leveraging	leverage	VERB
cana-6093	121	22	the	the	DET
cana-6093	121	23	strengths	strength	NOUN
cana-6093	121	24	of	of	ADP
cana-6093	121	25	both	both	DET
cana-6093	121	26	approaches	approach	NOUN
cana-6093	121	27	5	5	NUM
cana-6093	121	28	.	.	NOUN
cana-6093	121	29	6.2	6.2	NUM
cana-6093	121	30	theoretical	theoretical	ADJ
cana-6093	121	31	advances	advance	NOUN
cana-6093	121	32	and	and	CCONJ
cana-6093	121	33	uncertainty	uncertainty	NOUN
cana-6093	121	34	quantification	quantification	NOUN
cana-6093	121	35	strengthening	strengthen	VERB
cana-6093	121	36	the	the	DET
cana-6093	121	37	theoretical	theoretical	ADJ
cana-6093	121	38	foundations	foundation	NOUN
cana-6093	121	39	of	of	ADP
cana-6093	121	40	gan	gan	NOUN
cana-6093	121	41	-	-	PUNCT
cana-6093	121	42	based	base	VERB
cana-6093	121	43	inverse	inverse	NOUN
cana-6093	121	44	solving	solving	NOUN
cana-6093	121	45	should	should	AUX
cana-6093	121	46	be	be	AUX
cana-6093	121	47	a	a	DET
cana-6093	121	48	priority	priority	NOUN
cana-6093	121	49	19	19	NUM
cana-6093	121	50	.	.	PUNCT
cana-6093	122	1	this	this	PRON
cana-6093	122	2	includes	include	VERB
cana-6093	122	3	developing	develop	VERB
cana-6093	122	4	better	well	ADJ
cana-6093	122	5	understanding	understanding	NOUN
cana-6093	122	6	of	of	ADP
cana-6093	122	7	convergence	convergence	NOUN
cana-6093	122	8	properties	property	NOUN
cana-6093	122	9	,	,	PUNCT
cana-6093	122	10	generalization	generalization	NOUN
cana-6093	122	11	error	error	NOUN
cana-6093	122	12	bounds	bound	NOUN
cana-6093	122	13	,	,	PUNCT
cana-6093	122	14	and	and	CCONJ
cana-6093	122	15	conditions	condition	NOUN
cana-6093	122	16	for	for	ADP
cana-6093	122	17	uniqueness	uniqueness	NOUN
cana-6093	122	18	and	and	CCONJ
cana-6093	122	19	stability	stability	NOUN
cana-6093	122	20	of	of	ADP
cana-6093	122	21	solutions.improved	solutions.improve	VERB
cana-6093	122	22	methods	method	NOUN
cana-6093	122	23	for	for	ADP
cana-6093	122	24	uncertainty	uncertainty	NOUN
cana-6093	122	25	quantification	quantification	NOUN
cana-6093	122	26	are	be	AUX
cana-6093	122	27	essential	essential	ADJ
cana-6093	122	28	for	for	ADP
cana-6093	122	29	critical	critical	ADJ
cana-6093	122	30	applications	application	NOUN
cana-6093	122	31	where	where	SCONJ
cana-6093	122	32	understanding	understand	VERB
cana-6093	122	33	the	the	DET
cana-6093	122	34	reliability	reliability	NOUN
cana-6093	122	35	of	of	ADP
cana-6093	122	36	solutions	solution	NOUN
cana-6093	122	37	is	be	AUX
cana-6093	122	38	as	as	ADV
cana-6093	122	39	important	important	ADJ
cana-6093	122	40	as	as	ADP
cana-6093	122	41	the	the	DET
cana-6093	122	42	solutions	solution	NOUN
cana-6093	122	43	themselves	themselves	PRON
cana-6093	122	44	9	9	NUM
cana-6093	122	45	.	.	PUNCT
cana-6093	123	1	bayesian	bayesian	NOUN
cana-6093	123	2	approaches	approach	NOUN
cana-6093	123	3	with	with	ADP
cana-6093	123	4	generative	generative	ADJ
cana-6093	123	5	priors	prior	NOUN
cana-6093	123	6	,	,	PUNCT
cana-6093	123	7	conditional	conditional	ADJ
cana-6093	123	8	normalizing	normalizing	ADJ
cana-6093	123	9	flows	flow	NOUN
cana-6093	123	10	,	,	PUNCT
cana-6093	123	11	and	and	CCONJ
cana-6093	123	12	ensemble	ensemble	ADJ
cana-6093	123	13	methods	method	NOUN
cana-6093	123	14	offer	offer	VERB
cana-6093	123	15	promising	promise	VERB
cana-6093	123	16	directions	direction	NOUN
cana-6093	123	17	for	for	ADP
cana-6093	123	18	probabilistic	probabilistic	ADJ
cana-6093	123	19	inversion	inversion	NOUN
cana-6093	123	20	with	with	ADP
cana-6093	123	21	gans	gan	NOUN
cana-6093	123	22	.	.	PUNCT
cana-6093	124	1	6.3	6.3	NUM
cana-6093	124	2	efficiency	efficiency	NOUN
cana-6093	124	3	improvements	improvement	NOUN
cana-6093	124	4	and	and	CCONJ
cana-6093	124	5	scalability	scalability	NOUN
cana-6093	124	6	enhancing	enhance	VERB
cana-6093	124	7	the	the	DET
cana-6093	124	8	efficiency	efficiency	NOUN
cana-6093	124	9	of	of	ADP
cana-6093	124	10	gan	gan	ADJ
cana-6093	124	11	training	training	NOUN
cana-6093	124	12	and	and	CCONJ
cana-6093	124	13	inference	inference	NOUN
cana-6093	124	14	will	will	AUX
cana-6093	124	15	broaden	broaden	VERB
cana-6093	124	16	applicability	applicability	NOUN
cana-6093	124	17	to	to	ADP
cana-6093	124	18	larger	large	ADJ
cana-6093	124	19	-	-	PUNCT
cana-6093	124	20	scale	scale	NOUN
cana-6093	124	21	problems	problem	NOUN
cana-6093	124	22	8	8	NUM
cana-6093	124	23	.	.	PUNCT
cana-6093	125	1	this	this	PRON
cana-6093	125	2	includes	include	VERB
cana-6093	125	3	developing	develop	VERB
cana-6093	125	4	more	more	ADV
cana-6093	125	5	efficient	efficient	ADJ
cana-6093	125	6	architectures	architecture	NOUN
cana-6093	125	7	,	,	PUNCT
cana-6093	125	8	training	training	NOUN
cana-6093	125	9	strategies	strategy	NOUN
cana-6093	125	10	,	,	PUNCT
cana-6093	125	11	and	and	CCONJ
cana-6093	125	12	optimization	optimization	NOUN
cana-6093	125	13	techniques	technique	NOUN
cana-6093	125	14	that	that	PRON
cana-6093	125	15	reduce	reduce	VERB
cana-6093	125	16	computational	computational	ADJ
cana-6093	125	17	requirements	requirement	NOUN
cana-6093	125	18	while	while	SCONJ
cana-6093	125	19	maintaining	maintain	VERB
cana-6093	125	20	performance	performance	NOUN
cana-6093	125	21	.	.	PUNCT
cana-6093	126	1	scalability	scalability	NOUN
cana-6093	126	2	to	to	ADP
cana-6093	126	3	higher	higher	ADV
cana-6093	126	4	-	-	PUNCT
cana-6093	126	5	dimensional	dimensional	ADJ
cana-6093	126	6	problems	problem	NOUN
cana-6093	126	7	is	be	AUX
cana-6093	126	8	another	another	DET
cana-6093	126	9	important	important	ADJ
cana-6093	126	10	direction	direction	NOUN
cana-6093	126	11	.	.	PUNCT
cana-6093	127	1	current	current	ADJ
cana-6093	127	2	gan	gan	PROPN
cana-6093	127	3	approaches	approach	NOUN
cana-6093	127	4	may	may	AUX
cana-6093	127	5	struggle	struggle	VERB
cana-6093	127	6	with	with	ADP
cana-6093	127	7	very	very	ADV
cana-6093	127	8	high	high	ADJ
cana-6093	127	9	-	-	PUNCT
cana-6093	127	10	dimensional	dimensional	ADJ
cana-6093	127	11	parameter	parameter	NOUN
cana-6093	127	12	spaces	space	NOUN
cana-6093	127	13	,	,	PUNCT
cana-6093	127	14	such	such	ADJ
cana-6093	127	15	as	as	ADP
cana-6093	127	16	those	those	PRON
cana-6093	127	17	arising	arise	VERB
cana-6093	127	18	in	in	ADP
cana-6093	127	19	3d	3d	NUM
cana-6093	127	20	imaging	imaging	NOUN
cana-6093	127	21	or	or	CCONJ
cana-6093	127	22	complex	complex	ADJ
cana-6093	127	23	physical	physical	ADJ
cana-6093	127	24	systems	system	NOUN
cana-6093	127	25	.	.	PUNCT
cana-6093	128	1	techniques	technique	NOUN
cana-6093	128	2	from	from	ADP
cana-6093	128	3	dimension	dimension	NOUN
cana-6093	128	4	reduction	reduction	NOUN
cana-6093	128	5	,	,	PUNCT
cana-6093	128	6	multi	multi	ADJ
cana-6093	128	7	-	-	ADJ
cana-6093	128	8	scale	scale	ADJ
cana-6093	128	9	modeling	modeling	NOUN
cana-6093	128	10	,	,	PUNCT
cana-6093	128	11	and	and	CCONJ
cana-6093	128	12	distributed	distribute	VERB
cana-6093	128	13	computing	computing	NOUN
cana-6093	128	14	could	could	AUX
cana-6093	128	15	address	address	VERB
cana-6093	128	16	these	these	DET
cana-6093	128	17	challenges	challenge	NOUN
cana-6093	128	18	.	.	PUNCT
cana-6093	129	1	6.4	6.4	NUM
cana-6093	129	2	specialized	specialized	ADJ
cana-6093	129	3	architectures	architecture	NOUN
cana-6093	129	4	for	for	ADP
cana-6093	129	5	inverse	inverse	NOUN
cana-6093	129	6	problems	problem	NOUN
cana-6093	129	7	developing	develop	VERB
cana-6093	129	8	specialized	specialized	ADJ
cana-6093	129	9	architectures	architecture	NOUN
cana-6093	129	10	tailored	tailor	VERB
cana-6093	129	11	to	to	ADP
cana-6093	129	12	specific	specific	ADJ
cana-6093	129	13	inverse	inverse	NOUN
cana-6093	129	14	problem	problem	NOUN
cana-6093	129	15	characteristics	characteristic	NOUN
cana-6093	129	16	represents	represent	VERB
cana-6093	129	17	a	a	DET
cana-6093	129	18	promising	promising	ADJ
cana-6093	129	19	research	research	NOUN
cana-6093	129	20	direction	direction	NOUN
cana-6093	129	21	38	38	NUM
cana-6093	129	22	.	.	PUNCT
cana-6093	130	1	this	this	PRON
cana-6093	130	2	includes	include	VERB
cana-6093	130	3	architectures	architecture	NOUN
cana-6093	130	4	that	that	PRON
cana-6093	130	5	respect	respect	VERB
cana-6093	130	6	problem	problem	NOUN
cana-6093	130	7	-	-	PUNCT
cana-6093	130	8	specific	specific	ADJ
cana-6093	130	9	symmetries	symmetry	NOUN
cana-6093	130	10	,	,	PUNCT
cana-6093	130	11	handle	handle	VERB
cana-6093	130	12	multi	multi	ADJ
cana-6093	130	13	-	-	ADJ
cana-6093	130	14	modal	modal	ADJ
cana-6093	130	15	data	datum	NOUN
cana-6093	130	16	,	,	PUNCT
cana-6093	130	17	or	or	CCONJ
cana-6093	130	18	efficiently	efficiently	ADV
cana-6093	130	19	represent	represent	VERB
cana-6093	130	20	multi	multi	ADJ
cana-6093	130	21	-	-	ADJ
cana-6093	130	22	scale	scale	ADJ
cana-6093	130	23	features	feature	NOUN
cana-6093	130	24	.	.	PUNCT
cana-6093	131	1	for	for	ADP
cana-6093	131	2	problems	problem	NOUN
cana-6093	131	3	with	with	ADP
cana-6093	131	4	structured	structured	ADJ
cana-6093	131	5	outputs	output	NOUN
cana-6093	131	6	,	,	PUNCT
cana-6093	131	7	such	such	ADJ
cana-6093	131	8	as	as	ADP
cana-6093	131	9	images	image	NOUN
cana-6093	131	10	or	or	CCONJ
cana-6093	131	11	spatial	spatial	ADJ
cana-6093	131	12	fields	field	NOUN
cana-6093	131	13	,	,	PUNCT
cana-6093	131	14	incorporating	incorporate	VERB
cana-6093	131	15	geometric	geometric	ADJ
cana-6093	131	16	priors	prior	NOUN
cana-6093	131	17	and	and	CCONJ
cana-6093	131	18	equivariance	equivariance	NOUN
cana-6093	131	19	constraints	constraint	NOUN
cana-6093	131	20	can	can	AUX
cana-6093	131	21	improve	improve	VERB
cana-6093	131	22	performance	performance	NOUN
cana-6093	131	23	and	and	CCONJ
cana-6093	131	24	data	datum	NOUN
cana-6093	131	25	efficiency	efficiency	NOUN
cana-6093	131	26	.	.	PUNCT
cana-6093	132	1	similarly	similarly	ADV
cana-6093	132	2	,	,	PUNCT
cana-6093	132	3	for	for	ADP
cana-6093	132	4	temporal	temporal	ADJ
cana-6093	132	5	problems	problem	NOUN
cana-6093	132	6	like	like	ADP
cana-6093	132	7	seismic	seismic	ADJ
cana-6093	132	8	inversion	inversion	NOUN
cana-6093	132	9	,	,	PUNCT
cana-6093	132	10	recurrent	recurrent	ADJ
cana-6093	132	11	architectures	architecture	NOUN
cana-6093	132	12	or	or	CCONJ
cana-6093	132	13	attention	attention	NOUN
cana-6093	132	14	mechanisms	mechanism	NOUN
cana-6093	132	15	may	may	AUX
cana-6093	132	16	capture	capture	VERB
cana-6093	132	17	long	long	ADJ
cana-6093	132	18	-	-	PUNCT
cana-6093	132	19	range	range	NOUN
cana-6093	132	20	dependencies	dependency	NOUN
cana-6093	132	21	more	more	ADV
cana-6093	132	22	effectively	effectively	ADV
cana-6093	132	23	.	.	PUNCT
cana-6093	133	1	7.conclusion	7.conclusion	NUM
cana-6093	133	2	generative	generative	ADJ
cana-6093	133	3	adversarial	adversarial	ADJ
cana-6093	133	4	networks	network	NOUN
cana-6093	133	5	have	have	AUX
cana-6093	133	6	emerged	emerge	VERB
cana-6093	133	7	as	as	ADP
cana-6093	133	8	a	a	DET
cana-6093	133	9	powerful	powerful	ADJ
cana-6093	133	10	framework	framework	NOUN
cana-6093	133	11	for	for	ADP
cana-6093	133	12	accelerating	accelerate	VERB
cana-6093	133	13	solutions	solution	NOUN
cana-6093	133	14	to	to	PART
cana-6093	133	15	inverse	inverse	NOUN
cana-6093	133	16	problems	problem	NOUN
cana-6093	133	17	across	across	ADP
cana-6093	133	18	diverse	diverse	ADJ
cana-6093	133	19	scientific	scientific	ADJ
cana-6093	133	20	and	and	CCONJ
cana-6093	133	21	engineering	engineering	NOUN
cana-6093	133	22	domains	domain	NOUN
cana-6093	133	23	.	.	PUNCT
cana-6093	134	1	by	by	ADP
cana-6093	134	2	learning	learn	VERB
cana-6093	134	3	complex	complex	ADJ
cana-6093	134	4	prior	prior	ADJ
cana-6093	134	5	distributions	distribution	NOUN
cana-6093	134	6	from	from	ADP
cana-6093	134	7	data	datum	NOUN
cana-6093	134	8	and	and	CCONJ
cana-6093	134	9	enabling	enable	VERB
cana-6093	134	10	direct	direct	ADJ
cana-6093	134	11	mapping	mapping	NOUN
cana-6093	134	12	from	from	ADP
cana-6093	134	13	measurements	measurement	NOUN
cana-6093	134	14	to	to	ADP
cana-6093	134	15	parameters	parameter	NOUN
cana-6093	134	16	,	,	PUNCT
cana-6093	134	17	gan	gan	NOUN
cana-6093	134	18	-	-	PUNCT
cana-6093	134	19	based	base	VERB
cana-6093	134	20	approaches	approach	NOUN
cana-6093	134	21	can	can	AUX
cana-6093	134	22	significantly	significantly	ADV
cana-6093	134	23	reduce	reduce	VERB
cana-6093	134	24	computational	computational	ADJ
cana-6093	134	25	burden	burden	NOUN
cana-6093	134	26	compared	compare	VERB
cana-6093	134	27	to	to	ADP
cana-6093	134	28	traditional	traditional	ADJ
cana-6093	134	29	iterative	iterative	NOUN
cana-6093	134	30	methods	method	NOUN
cana-6093	134	31	while	while	SCONJ
cana-6093	134	32	maintaining	maintain	VERB
cana-6093	134	33	competitive	competitive	ADJ
cana-6093	134	34	reconstruction	reconstruction	NOUN
cana-6093	134	35	quality	quality	NOUN
cana-6093	134	36	.	.	PUNCT
cana-6093	135	1	this	this	DET
cana-6093	135	2	comprehensive	comprehensive	ADJ
cana-6093	135	3	review	review	NOUN
cana-6093	135	4	has	have	AUX
cana-6093	135	5	examined	examine	VERB
cana-6093	135	6	fundamental	fundamental	ADJ
cana-6093	135	7	concepts	concept	NOUN
cana-6093	135	8	,	,	PUNCT
cana-6093	135	9	architectures	architecture	NOUN
cana-6093	135	10	,	,	PUNCT
cana-6093	135	11	applications	application	NOUN
cana-6093	135	12	,	,	PUNCT
cana-6093	135	13	and	and	CCONJ
cana-6093	135	14	challenges	challenge	NOUN
cana-6093	135	15	in	in	ADP
cana-6093	135	16	gan	gan	NOUN
cana-6093	135	17	-	-	PUNCT
cana-6093	135	18	based	base	VERB
cana-6093	135	19	inverse	inverse	NOUN
cana-6093	135	20	problem	problem	NOUN
cana-6093	135	21	solving	solving	NOUN
cana-6093	135	22	.	.	PUNCT
cana-6093	136	1	conditional	conditional	ADJ
cana-6093	136	2	gans	gan	NOUN
cana-6093	136	3	enable	enable	VERB
cana-6093	136	4	direct	direct	ADJ
cana-6093	136	5	inversion	inversion	NOUN
cana-6093	136	6	conditioned	condition	VERB
cana-6093	136	7	on	on	ADP
cana-6093	136	8	measurement	measurement	NOUN
cana-6093	136	9	data	datum	NOUN
cana-6093	136	10	,	,	PUNCT
cana-6093	136	11	while	while	SCONJ
cana-6093	136	12	wasserstein	wasserstein	NOUN
cana-6093	136	13	gans	gan	NOUN
cana-6093	136	14	with	with	ADP
cana-6093	136	15	gradient	gradient	ADJ
cana-6093	136	16	penalty	penalty	NOUN
cana-6093	136	17	improve	improve	VERB
cana-6093	136	18	training	train	VERB
cana-6093	136	19	stability	stability	NOUN
cana-6093	136	20	and	and	CCONJ
cana-6093	136	21	convergence	convergence	NOUN
cana-6093	136	22	.	.	PUNCT
cana-6093	137	1	physics	physics	NOUN
cana-6093	137	2	-	-	PUNCT
cana-6093	137	3	informed	inform	VERB
cana-6093	137	4	adversarial	adversarial	ADJ
cana-6093	137	5	approaches	approach	NOUN
cana-6093	137	6	integrate	integrate	VERB
cana-6093	137	7	physical	physical	ADJ
cana-6093	137	8	constraints	constraint	NOUN
cana-6093	137	9	to	to	PART
cana-6093	137	10	ensure	ensure	VERB
cana-6093	137	11	plausibility	plausibility	NOUN
cana-6093	137	12	and	and	CCONJ
cana-6093	137	13	improve	improve	VERB
cana-6093	137	14	generalization	generalization	NOUN
cana-6093	137	15	,	,	PUNCT
cana-6093	137	16	and	and	CCONJ
cana-6093	137	17	bayesian	bayesian	NOUN
cana-6093	137	18	frameworks	framework	NOUN
cana-6093	137	19	with	with	ADP
cana-6093	137	20	generative	generative	ADJ
cana-6093	137	21	priors	prior	NOUN
cana-6093	137	22	facilitate	facilitate	VERB
cana-6093	137	23	uncertainty	uncertainty	NOUN
cana-6093	137	24	quantification	quantification	NOUN
cana-6093	137	25	.	.	PUNCT
cana-6093	138	1	through	through	ADP
cana-6093	138	2	case	case	NOUN
cana-6093	138	3	studies	study	NOUN
cana-6093	138	4	in	in	ADP
cana-6093	138	5	seismic	seismic	ADJ
cana-6093	138	6	inversion	inversion	NOUN
cana-6093	138	7	,	,	PUNCT
cana-6093	138	8	medical	medical	ADJ
cana-6093	138	9	imaging	imaging	NOUN
cana-6093	138	10	,	,	PUNCT
cana-6093	138	11	materials	material	NOUN
cana-6093	138	12	science	science	NOUN
cana-6093	138	13	,	,	PUNCT
cana-6093	138	14	and	and	CCONJ
cana-6093	138	15	physics	physics	NOUN
cana-6093	138	16	-	-	PUNCT
cana-6093	138	17	based	base	VERB
cana-6093	138	18	problems	problem	NOUN
cana-6093	138	19	,	,	PUNCT
cana-6093	138	20	we	we	PRON
cana-6093	138	21	have	have	AUX
cana-6093	138	22	demonstrated	demonstrate	VERB
cana-6093	138	23	how	how	SCONJ
cana-6093	138	24	gans	gan	NOUN
cana-6093	138	25	achieve	achieve	VERB
cana-6093	138	26	substantial	substantial	ADJ
cana-6093	138	27	acceleration	acceleration	NOUN
cana-6093	138	28	often	often	ADV
cana-6093	138	29	orders	order	NOUN
cana-6093	138	30	of	of	ADP
cana-6093	138	31	magnitude	magnitude	NOUN
cana-6093	138	32	faster	fast	ADV
cana-6093	138	33	than	than	ADP
cana-6093	138	34	conventional	conventional	ADJ
cana-6093	138	35	methods	method	NOUN
cana-6093	138	36	while	while	SCONJ
cana-6093	138	37	handling	handle	VERB
cana-6093	138	38	complex	complex	ADJ
cana-6093	138	39	,	,	PUNCT
cana-6093	138	40	non	non	ADJ
cana-6093	138	41	-	-	ADJ
cana-6093	138	42	gaussian	gaussian	ADJ
cana-6093	138	43	distributions	distribution	NOUN
cana-6093	138	44	that	that	PRON
cana-6093	138	45	challenge	challenge	VERB
cana-6093	138	46	traditional	traditional	ADJ
cana-6093	138	47	approaches	approach	NOUN
cana-6093	138	48	.	.	PUNCT
cana-6093	139	1	despite	despite	SCONJ
cana-6093	139	2	significant	significant	ADJ
cana-6093	139	3	progress	progress	NOUN
cana-6093	139	4	,	,	PUNCT
cana-6093	139	5	important	important	ADJ
cana-6093	139	6	challenges	challenge	NOUN
cana-6093	139	7	remain	remain	VERB
cana-6093	139	8	regarding	regard	VERB
cana-6093	139	9	training	training	NOUN
cana-6093	139	10	stability	stability	NOUN
cana-6093	139	11	,	,	PUNCT
cana-6093	139	12	theoretical	theoretical	ADJ
cana-6093	139	13	guarantees	guarantee	NOUN
cana-6093	139	14	,	,	PUNCT
cana-6093	139	15	data	datum	NOUN
cana-6093	139	16	requirements	requirement	NOUN
cana-6093	139	17	,	,	PUNCT
cana-6093	139	18	and	and	CCONJ
cana-6093	139	19	computational	computational	ADJ
cana-6093	139	20	costs	cost	NOUN
cana-6093	139	21	.	.	PUNCT
cana-6093	140	1	future	future	ADJ
cana-6093	140	2	research	research	NOUN
cana-6093	140	3	should	should	AUX
cana-6093	140	4	focus	focus	VERB
cana-6093	140	5	on	on	ADP
cana-6093	140	6	integrating	integrate	VERB
cana-6093	140	7	physical	physical	ADJ
cana-6093	140	8	knowledge	knowledge	NOUN
cana-6093	140	9	with	with	ADP
cana-6093	140	10	data	data	NOUN
cana-6093	140	11	-	-	PUNCT
cana-6093	140	12	driven	drive	VERB
cana-6093	140	13	approaches	approach	NOUN
cana-6093	140	14	,	,	PUNCT
cana-6093	140	15	strengthening	strengthen	VERB
cana-6093	140	16	theoretical	theoretical	ADJ
cana-6093	140	17	foundations	foundation	NOUN
cana-6093	140	18	,	,	PUNCT
cana-6093	140	19	improving	improve	VERB
cana-6093	140	20	efficiency	efficiency	NOUN
cana-6093	140	21	and	and	CCONJ
cana-6093	140	22	https://www.sciencedirect.com/science/article/abs/pii/s089812212500032x	https://www.sciencedirect.com/science/article/abs/pii/s089812212500032x	ADJ
cana-6093	140	23	https://arxiv.org/html/2412.04409v1	https://arxiv.org/html/2412.04409v1	PROPN
cana-6093	140	24	https://arxiv.org/html/2412.04409v1	https://arxiv.org/html/2412.04409v1	PROPN
cana-6093	140	25	https://www.sciencedirect.com/science/article/abs/pii/s0045782523004620	https://www.sciencedirect.com/science/article/abs/pii/s0045782523004620	PROPN
cana-6093	140	26	https://pmc.ncbi.nlm.nih.gov/articles/pmc12177523/	https://pmc.ncbi.nlm.nih.gov/articles/pmc12177523/	PROPN
cana-6093	140	27	https://pmc.ncbi.nlm.nih.gov/articles/pmc12177523/	https://pmc.ncbi.nlm.nih.gov/articles/pmc12177523/	NOUN
cana-6093	140	28	https://www.sciencedirect.com/science/article/abs/pii/s0266352x24005020	https://www.sciencedirect.com/science/article/abs/pii/s0266352x24005020	NOUN
cana-6093	140	29	https://arxiv.org/html/2311.11343v3	https://arxiv.org/html/2311.11343v3	NOUN
cana-6093	140	30	https://www.sciencedirect.com/science/article/abs/pii/s0266352x24005020	https://www.sciencedirect.com/science/article/abs/pii/s0266352x24005020	NOUN
cana-6093	140	31	communications	communication	NOUN
cana-6093	140	32	on	on	ADP
cana-6093	140	33	applied	apply	VERB
cana-6093	140	34	nonlinear	nonlinear	ADJ
cana-6093	140	35	analysis	analysis	NOUN
cana-6093	140	36	issn	issn	NOUN
cana-6093	140	37	:	:	PUNCT
cana-6093	140	38	1074	1074	NUM
cana-6093	140	39	-	-	PUNCT
cana-6093	140	40	133x	133x	NUM
cana-6093	140	41	vol	vol	NOUN
cana-6093	140	42	31	31	NUM
cana-6093	140	43	no	no	NOUN
cana-6093	140	44	.	.	NOUN
cana-6093	140	45	1	1	NUM
cana-6093	140	46	(	(	PUNCT
cana-6093	140	47	2024	2024	NUM
cana-6093	140	48	)	)	PUNCT
cana-6093	140	49	373	373	NUM
cana-6093	140	50	https://internationalpubls.com	https://internationalpubls.com	X
cana-6093	140	51	scalability	scalability	NOUN
cana-6093	140	52	,	,	PUNCT
cana-6093	140	53	and	and	CCONJ
cana-6093	140	54	developing	develop	VERB
cana-6093	140	55	specialized	specialized	ADJ
cana-6093	140	56	architectures	architecture	NOUN
cana-6093	140	57	for	for	ADP
cana-6093	140	58	specific	specific	ADJ
cana-6093	140	59	problem	problem	NOUN
cana-6093	140	60	classes	class	NOUN
cana-6093	140	61	.	.	PUNCT
cana-6093	141	1	as	as	SCONJ
cana-6093	141	2	gan	gan	PROPN
cana-6093	141	3	methodologies	methodology	NOUN
cana-6093	141	4	continue	continue	VERB
cana-6093	141	5	to	to	PART
cana-6093	141	6	evolve	evolve	VERB
cana-6093	141	7	and	and	CCONJ
cana-6093	141	8	integrate	integrate	VERB
cana-6093	141	9	with	with	ADP
cana-6093	141	10	complementary	complementary	ADJ
cana-6093	141	11	techniques	technique	NOUN
cana-6093	141	12	from	from	ADP
cana-6093	141	13	deep	deep	ADJ
cana-6093	141	14	learning	learning	NOUN
cana-6093	141	15	and	and	CCONJ
cana-6093	141	16	numerical	numerical	ADJ
cana-6093	141	17	computation	computation	NOUN
cana-6093	141	18	,	,	PUNCT
cana-6093	141	19	they	they	PRON
cana-6093	141	20	hold	hold	VERB
cana-6093	141	21	immense	immense	ADJ
cana-6093	141	22	potential	potential	NOUN
cana-6093	141	23	to	to	PART
cana-6093	141	24	transform	transform	VERB
cana-6093	141	25	inverse	inverse	ADJ
cana-6093	141	26	problem	problem	NOUN
cana-6093	141	27	solving	solve	VERB
cana-6093	141	28	across	across	ADP
cana-6093	141	29	scientific	scientific	ADJ
cana-6093	141	30	disciplines	discipline	NOUN
cana-6093	141	31	,	,	PUNCT
cana-6093	141	32	enabling	enable	VERB
cana-6093	141	33	new	new	ADJ
cana-6093	141	34	applications	application	NOUN
cana-6093	141	35	that	that	PRON
cana-6093	141	36	require	require	VERB
cana-6093	141	37	real	real	ADJ
cana-6093	141	38	-	-	PUNCT
cana-6093	141	39	time	time	NOUN
cana-6093	141	40	solutions	solution	NOUN
cana-6093	141	41	,	,	PUNCT
cana-6093	141	42	handle	handle	VERB
cana-6093	141	43	complex	complex	ADJ
cana-6093	141	44	uncertainties	uncertainty	NOUN
cana-6093	141	45	,	,	PUNCT
cana-6093	141	46	or	or	CCONJ
cana-6093	141	47	explore	explore	VERB
cana-6093	141	48	previously	previously	ADV
cana-6093	141	49	intractable	intractable	ADJ
cana-6093	141	50	problem	problem	NOUN
cana-6093	141	51	scales	scale	NOUN
cana-6093	141	52	.	.	PUNCT
cana-6093	142	1	references	reference	NOUN
cana-6093	142	2	1	1	NUM
cana-6093	142	3	.	.	X
cana-6093	142	4	adler	adler	PROPN
cana-6093	142	5	,	,	PUNCT
cana-6093	142	6	j.	j.	PROPN
cana-6093	142	7	,	,	PUNCT
cana-6093	142	8	&	&	CCONJ
cana-6093	142	9	öktem	öktem	PROPN
cana-6093	142	10	,	,	PUNCT
cana-6093	142	11	o.	o.	PROPN
cana-6093	142	12	(	(	PUNCT
cana-6093	142	13	2018	2018	NUM
cana-6093	142	14	)	)	PUNCT
cana-6093	142	15	.	.	PUNCT
cana-6093	143	1	solving	solve	VERB
cana-6093	143	2	ill	ill	ADV
cana-6093	143	3	-	-	PUNCT
cana-6093	143	4	posed	pose	VERB
cana-6093	143	5	inverse	inverse	NOUN
cana-6093	143	6	problems	problem	NOUN
cana-6093	143	7	using	use	VERB
cana-6093	143	8	iterative	iterative	NOUN
cana-6093	143	9	deep	deep	ADJ
cana-6093	143	10	neural	neural	ADJ
cana-6093	143	11	networks	network	NOUN
cana-6093	143	12	.	.	PUNCT
cana-6093	144	1	inverse	inverse	NOUN
cana-6093	144	2	problems	problem	NOUN
cana-6093	144	3	,	,	PUNCT
cana-6093	144	4	*	*	NOUN
cana-6093	144	5	33*(12	33*(12	NUM
cana-6093	144	6	)	)	PUNCT
cana-6093	144	7	,	,	PUNCT
cana-6093	144	8	124007	124007	NUM
cana-6093	144	9	.	.	PUNCT
cana-6093	145	1	2	2	X
cana-6093	145	2	.	.	X
cana-6093	145	3	arridge	arridge	PROPN
cana-6093	145	4	,	,	PUNCT
cana-6093	145	5	s.	s.	PROPN
cana-6093	145	6	,	,	PUNCT
cana-6093	145	7	maass	maass	PROPN
cana-6093	145	8	,	,	PUNCT
cana-6093	145	9	p.	p.	PROPN
cana-6093	145	10	,	,	PUNCT
cana-6093	145	11	öktem	öktem	PROPN
cana-6093	145	12	,	,	PUNCT
cana-6093	145	13	o.	o.	PROPN
cana-6093	145	14	,	,	PUNCT
cana-6093	145	15	&	&	CCONJ
cana-6093	145	16	schönlieb	schönlieb	PROPN
cana-6093	145	17	,	,	PUNCT
cana-6093	145	18	c.	c.	PROPN
cana-6093	145	19	b.	b.	PROPN
cana-6093	145	20	(	(	PUNCT
cana-6093	145	21	2019	2019	NUM
cana-6093	145	22	)	)	PUNCT
cana-6093	145	23	.	.	PUNCT
cana-6093	146	1	solving	solve	VERB
cana-6093	146	2	inverse	inverse	NOUN
cana-6093	146	3	problems	problem	NOUN
cana-6093	146	4	using	use	VERB
cana-6093	146	5	data	data	NOUN
cana-6093	146	6	-	-	PUNCT
cana-6093	146	7	driven	drive	VERB
cana-6093	146	8	models	model	NOUN
cana-6093	146	9	.	.	PUNCT
cana-6093	147	1	acta	acta	PROPN
cana-6093	147	2	numerica	numerica	PROPN
cana-6093	147	3	,	,	PUNCT
cana-6093	147	4	*	*	NOUN
cana-6093	147	5	28	28	NUM
cana-6093	147	6	*	*	NUM
cana-6093	147	7	,	,	PUNCT
cana-6093	147	8	1	1	NUM
cana-6093	147	9	-	-	SYM
cana-6093	147	10	174	174	NUM
cana-6093	147	11	.	.	PUNCT
cana-6093	148	1	3	3	X
cana-6093	148	2	.	.	X
cana-6093	148	3	bastek	bastek	PROPN
cana-6093	148	4	,	,	PUNCT
cana-6093	148	5	j.	j.	PROPN
cana-6093	148	6	h.	h.	PROPN
cana-6093	148	7	,	,	PUNCT
cana-6093	148	8	&	&	CCONJ
cana-6093	148	9	kochmann	kochmann	PROPN
cana-6093	148	10	,	,	PUNCT
cana-6093	148	11	d.	d.	PROPN
cana-6093	148	12	m.	m.	PROPN
cana-6093	148	13	(	(	PUNCT
cana-6093	148	14	2023	2023	NUM
cana-6093	148	15	)	)	PUNCT
cana-6093	148	16	.	.	PUNCT
cana-6093	149	1	binary	binary	ADJ
cana-6093	149	2	-	-	PUNCT
cana-6093	149	3	representation	representation	NOUN
cana-6093	149	4	-	-	PUNCT
cana-6093	149	5	based	base	VERB
cana-6093	149	6	conditional	conditional	ADJ
cana-6093	149	7	gans	gan	NOUN
cana-6093	149	8	for	for	ADP
cana-6093	149	9	inverse	inverse	NOUN
cana-6093	149	10	design	design	NOUN
cana-6093	149	11	of	of	ADP
cana-6093	149	12	heterogeneous	heterogeneous	ADJ
cana-6093	149	13	materials	material	NOUN
cana-6093	149	14	.	.	PUNCT
cana-6093	150	1	scientific	scientific	ADJ
cana-6093	150	2	reports	report	NOUN
cana-6093	150	3	,	,	PUNCT
cana-6093	150	4	*	*	NOUN
cana-6093	150	5	13*(1	13*(1	NUM
cana-6093	150	6	)	)	PUNCT
cana-6093	150	7	,	,	PUNCT
cana-6093	150	8	1	1	NUM
cana-6093	150	9	-	-	SYM
cana-6093	150	10	15	15	NUM
cana-6093	150	11	.	.	NOUN
cana-6093	151	1	4	4	NUM
cana-6093	151	2	.	.	X
cana-6093	151	3	yang	yang	PROPN
cana-6093	151	4	,	,	PUNCT
cana-6093	151	5	y.	y.	PROPN
cana-6093	151	6	,	,	PUNCT
cana-6093	151	7	perdikaris	perdikaris	NOUN
cana-6093	151	8	,	,	PUNCT
cana-6093	151	9	p.	p.	NOUN
cana-6093	151	10	,	,	PUNCT
cana-6093	151	11	&	&	CCONJ
cana-6093	151	12	karniadakis	karniadakis	PROPN
cana-6093	151	13	,	,	PUNCT
cana-6093	151	14	g.	g.	PROPN
cana-6093	151	15	e.	e.	PROPN
cana-6093	151	16	(	(	PUNCT
cana-6093	151	17	2018	2018	NUM
cana-6093	151	18	)	)	PUNCT
cana-6093	151	19	.	.	PUNCT
cana-6093	152	1	physics	physics	NOUN
cana-6093	152	2	-	-	PUNCT
cana-6093	152	3	informed	inform	VERB
cana-6093	152	4	generative	generative	ADJ
cana-6093	152	5	adversarial	adversarial	ADJ
cana-6093	152	6	networks	network	NOUN
cana-6093	152	7	for	for	ADP
cana-6093	152	8	stochastic	stochastic	ADJ
cana-6093	152	9	differential	differential	ADJ
cana-6093	152	10	equations	equation	NOUN
cana-6093	152	11	.	.	PUNCT
cana-6093	153	1	siam	siam	PROPN
cana-6093	153	2	journal	journal	PROPN
cana-6093	153	3	on	on	ADP
cana-6093	153	4	scientific	scientific	ADJ
cana-6093	153	5	computing	computing	NOUN
cana-6093	153	6	,	,	PUNCT
cana-6093	153	7	*	*	NOUN
cana-6093	153	8	40*(4	40*(4	NOUN
cana-6093	153	9	)	)	PUNCT
cana-6093	153	10	,	,	PUNCT
cana-6093	153	11	a292	a292	PROPN
cana-6093	153	12	-	-	PUNCT
cana-6093	153	13	a322	a322	PROPN
cana-6093	153	14	.	.	PROPN
cana-6093	153	15	5	5	NUM
cana-6093	153	16	.	.	X
cana-6093	153	17	pang	pang	NOUN
cana-6093	153	18	,	,	PUNCT
cana-6093	153	19	g.	g.	PROPN
cana-6093	153	20	,	,	PUNCT
cana-6093	153	21	lu	lu	PROPN
cana-6093	153	22	,	,	PUNCT
cana-6093	153	23	l.	l.	PROPN
cana-6093	153	24	,	,	PUNCT
cana-6093	153	25	&	&	CCONJ
cana-6093	153	26	karniadakis	karniadakis	PROPN
cana-6093	153	27	,	,	PUNCT
cana-6093	153	28	g.	g.	PROPN
cana-6093	153	29	e.	e.	PROPN
cana-6093	153	30	(	(	PUNCT
cana-6093	153	31	2019	2019	NUM
cana-6093	153	32	)	)	PUNCT
cana-6093	153	33	.	.	PUNCT
cana-6093	154	1	fpinns	fpinns	PROPN
cana-6093	154	2	:	:	PUNCT
cana-6093	154	3	fractional	fractional	ADJ
cana-6093	154	4	physics	physics	NOUN
cana-6093	154	5	-	-	PUNCT
cana-6093	154	6	informed	inform	VERB
cana-6093	154	7	neural	neural	ADJ
cana-6093	154	8	networks	network	NOUN
cana-6093	154	9	.	.	PUNCT
cana-6093	155	1	siam	siam	PROPN
cana-6093	155	2	journal	journal	PROPN
cana-6093	155	3	on	on	ADP
cana-6093	155	4	scientific	scientific	ADJ
cana-6093	155	5	computing	computing	NOUN
cana-6093	155	6	,	,	PUNCT
cana-6093	155	7	*	*	NOUN
cana-6093	155	8	41*(4	41*(4	NUM
cana-6093	155	9	)	)	PUNCT
cana-6093	155	10	,	,	PUNCT
cana-6093	155	11	a2603	a2603	PROPN
cana-6093	155	12	-	-	PUNCT
cana-6093	155	13	a2626	a2626	NOUN
cana-6093	155	14	.	.	PROPN
cana-6093	156	1	6	6	NUM
cana-6093	156	2	.	.	X
cana-6093	156	3	goodfellow	goodfellow	PROPN
cana-6093	156	4	,	,	PUNCT
cana-6093	156	5	i.	i.	NOUN
cana-6093	156	6	,	,	PUNCT
cana-6093	156	7	pouget	pouget	NOUN
cana-6093	156	8	-	-	PUNCT
cana-6093	156	9	abadie	abadie	ADJ
cana-6093	156	10	,	,	PUNCT
cana-6093	156	11	j.	j.	PROPN
cana-6093	156	12	,	,	PUNCT
cana-6093	156	13	mirza	mirza	PROPN
cana-6093	156	14	,	,	PUNCT
cana-6093	156	15	m.	m.	NOUN
cana-6093	156	16	,	,	PUNCT
cana-6093	156	17	xu	xu	PROPN
cana-6093	156	18	,	,	PUNCT
cana-6093	156	19	b.	b.	PROPN
cana-6093	156	20	,	,	PUNCT
cana-6093	156	21	warde	warde	PROPN
cana-6093	156	22	-	-	PUNCT
cana-6093	156	23	farley	farley	PROPN
cana-6093	156	24	,	,	PUNCT
cana-6093	156	25	d.	d.	PROPN
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cana-6093	156	28	,	,	PUNCT
cana-6093	156	29	s.	s.	PROPN
cana-6093	156	30	,	,	PUNCT
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cana-6093	156	32	,	,	PUNCT
cana-6093	156	33	a.	a.	NOUN
cana-6093	156	34	,	,	PUNCT
cana-6093	156	35	&	&	CCONJ
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cana-6093	156	37	,	,	PUNCT
cana-6093	156	38	y.	y.	PROPN
cana-6093	156	39	(	(	PUNCT
cana-6093	156	40	2014	2014	NUM
cana-6093	156	41	)	)	PUNCT
cana-6093	156	42	.	.	PUNCT
cana-6093	157	1	generative	generative	ADJ
cana-6093	157	2	adversarial	adversarial	ADJ
cana-6093	157	3	nets	net	NOUN
cana-6093	157	4	.	.	PUNCT
cana-6093	158	1	advances	advance	NOUN
cana-6093	158	2	in	in	ADP
cana-6093	158	3	neural	neural	ADJ
cana-6093	158	4	information	information	NOUN
cana-6093	158	5	processing	processing	NOUN
cana-6093	158	6	systems	system	NOUN
cana-6093	158	7	,	,	PUNCT
cana-6093	158	8	*	*	NOUN
cana-6093	158	9	27	27	NUM
cana-6093	158	10	*	*	NOUN
cana-6093	158	11	.	.	PUNCT
cana-6093	159	1	7	7	X
cana-6093	159	2	.	.	X
cana-6093	159	3	gulrajani	gulrajani	PROPN
cana-6093	159	4	,	,	PUNCT
cana-6093	159	5	i.	i.	PROPN
cana-6093	159	6	,	,	PUNCT
cana-6093	159	7	ahmed	ahmed	PROPN
cana-6093	159	8	,	,	PUNCT
cana-6093	159	9	f.	f.	PROPN
cana-6093	159	10	,	,	PUNCT
cana-6093	159	11	arjovsky	arjovsky	PROPN
cana-6093	159	12	,	,	PUNCT
cana-6093	159	13	m.	m.	NOUN
cana-6093	159	14	,	,	PUNCT
cana-6093	159	15	dumoulin	dumoulin	PROPN
cana-6093	159	16	,	,	PUNCT
cana-6093	159	17	v.	v.	ADV
cana-6093	159	18	,	,	PUNCT
cana-6093	159	19	&	&	CCONJ
cana-6093	159	20	courville	courville	PROPN
cana-6093	159	21	,	,	PUNCT
cana-6093	159	22	a.	a.	PROPN
cana-6093	159	23	c.	c.	PROPN
cana-6093	159	24	(	(	PUNCT
cana-6093	159	25	2017	2017	NUM
cana-6093	159	26	)	)	PUNCT
cana-6093	159	27	.	.	PUNCT
cana-6093	160	1	improved	improved	ADJ
cana-6093	160	2	training	training	NOUN
cana-6093	160	3	of	of	ADP
cana-6093	160	4	wasserstein	wasserstein	NOUN
cana-6093	160	5	gans	gans	PROPN
cana-6093	160	6	.	.	PUNCT
cana-6093	161	1	advances	advance	NOUN
cana-6093	161	2	in	in	ADP
cana-6093	161	3	neural	neural	ADJ
cana-6093	161	4	information	information	NOUN
cana-6093	161	5	processing	processing	NOUN
cana-6093	161	6	systems	system	NOUN
cana-6093	161	7	,	,	PUNCT
cana-6093	161	8	*	*	NOUN
cana-6093	161	9	30	30	NUM
cana-6093	161	10	*	*	NUM
cana-6093	161	11	.	.	PUNCT
cana-6093	162	1	8	8	X
cana-6093	162	2	.	.	PUNCT
cana-6093	163	1	kim	kim	PROPN
cana-6093	163	2	,	,	PUNCT
cana-6093	163	3	j.	j.	PROPN
cana-6093	163	4	,	,	PUNCT
cana-6093	163	5	lee	lee	PROPN
cana-6093	163	6	,	,	PUNCT
cana-6093	163	7	c.	c.	PROPN
cana-6093	163	8	,	,	PUNCT
cana-6093	163	9	&	&	CCONJ
cana-6093	163	10	kim	kim	PROPN
cana-6093	163	11	,	,	PUNCT
cana-6093	163	12	j.	j.	PROPN
cana-6093	163	13	(	(	PUNCT
cana-6093	163	14	2023	2023	NUM
cana-6093	163	15	)	)	PUNCT
cana-6093	163	16	.	.	PUNCT
cana-6093	164	1	conditional	conditional	ADJ
cana-6093	164	2	wasserstein	wasserstein	PROPN
cana-6093	164	3	gan	gan	PROPN
cana-6093	164	4	-	-	PUNCT
cana-6093	164	5	based	base	VERB
cana-6093	164	6	accelerogram	accelerogram	NOUN
cana-6093	164	7	generation	generation	NOUN
cana-6093	164	8	for	for	ADP
cana-6093	164	9	specified	specify	VERB
cana-6093	164	10	pseudo	pseudo	NOUN
cana-6093	164	11	-	-	ADJ
cana-6093	164	12	spectral	spectral	ADJ
cana-6093	164	13	acceleration	acceleration	NOUN
cana-6093	164	14	.	.	PUNCT
cana-6093	165	1	earthquake	earthquake	NOUN
cana-6093	165	2	engineering	engineering	PROPN
cana-6093	165	3	&	&	CCONJ
cana-6093	165	4	structural	structural	ADJ
cana-6093	165	5	dynamics	dynamic	NOUN
cana-6093	165	6	,	,	PUNCT
cana-6093	165	7	*	*	NOUN
cana-6093	165	8	52*(5	52*(5	NUM
cana-6093	165	9	)	)	PUNCT
cana-6093	165	10	,	,	PUNCT
cana-6093	165	11	13741394	13741394	NUM
cana-6093	165	12	.	.	PUNCT
cana-6093	166	1	9	9	X
cana-6093	166	2	.	.	X
cana-6093	166	3	ardizzone	ardizzone	PROPN
cana-6093	166	4	,	,	PUNCT
cana-6093	166	5	l.	l.	PROPN
cana-6093	166	6	,	,	PUNCT
cana-6093	166	7	kruse	kruse	PROPN
cana-6093	166	8	,	,	PUNCT
cana-6093	166	9	j.	j.	PROPN
cana-6093	166	10	,	,	PUNCT
cana-6093	166	11	wirkert	wirkert	PROPN
cana-6093	166	12	,	,	PUNCT
cana-6093	166	13	s.	s.	PROPN
cana-6093	166	14	,	,	PUNCT
cana-6093	166	15	rahner	rahner	PROPN
cana-6093	166	16	,	,	PUNCT
cana-6093	166	17	d.	d.	PROPN
cana-6093	166	18	,	,	PUNCT
cana-6093	166	19	pellegrini	pellegrini	PROPN
cana-6093	166	20	,	,	PUNCT
cana-6093	166	21	e.	e.	PROPN
cana-6093	166	22	w.	w.	PROPN
cana-6093	166	23	,	,	PUNCT
cana-6093	166	24	klessen	klessen	PROPN
cana-6093	166	25	,	,	PUNCT
cana-6093	166	26	r.	r.	PROPN
cana-6093	166	27	s.	s.	PROPN
cana-6093	166	28	,	,	PUNCT
cana-6093	166	29	maier	maier	PROPN
cana-6093	166	30	-	-	PUNCT
cana-6093	166	31	hein	hein	PROPN
cana-6093	166	32	,	,	PUNCT
cana-6093	166	33	l.	l.	PROPN
cana-6093	166	34	,	,	PUNCT
cana-6093	166	35	rother	rother	PROPN
cana-6093	166	36	,	,	PUNCT
cana-6093	166	37	c.	c.	PROPN
cana-6093	166	38	,	,	PUNCT
cana-6093	166	39	&	&	CCONJ
cana-6093	166	40	köthe	köthe	PROPN
cana-6093	166	41	,	,	PUNCT
cana-6093	166	42	u.	u.	PROPN
cana-6093	166	43	(	(	PUNCT
cana-6093	166	44	2018	2018	NUM
cana-6093	166	45	)	)	PUNCT
cana-6093	166	46	.	.	PUNCT
cana-6093	167	1	analyzing	analyze	VERB
cana-6093	167	2	inverse	inverse	NOUN
cana-6093	167	3	problems	problem	NOUN
cana-6093	167	4	with	with	ADP
cana-6093	167	5	invertible	invertible	ADJ
cana-6093	167	6	neural	neural	ADJ
cana-6093	167	7	networks	network	NOUN
cana-6093	167	8	.	.	PUNCT
cana-6093	168	1	international	international	ADJ
cana-6093	168	2	conference	conference	NOUN
cana-6093	168	3	on	on	ADP
cana-6093	168	4	learning	learn	VERB
cana-6093	168	5	representations	representation	NOUN
cana-6093	168	6	.	.	PUNCT
cana-6093	169	1	10	10	NUM
cana-6093	169	2	.	.	X
cana-6093	169	3	mccann	mccann	PROPN
cana-6093	169	4	,	,	PUNCT
cana-6093	169	5	m.	m.	NOUN
cana-6093	169	6	t.	t.	PROPN
cana-6093	169	7	,	,	PUNCT
cana-6093	169	8	jin	jin	PROPN
cana-6093	169	9	,	,	PUNCT
cana-6093	169	10	k.	k.	PROPN
cana-6093	169	11	h.	h.	PROPN
cana-6093	169	12	,	,	PUNCT
cana-6093	169	13	&	&	CCONJ
cana-6093	169	14	unser	unser	PROPN
cana-6093	169	15	,	,	PUNCT
cana-6093	169	16	m.	m.	NOUN
cana-6093	169	17	(	(	PUNCT
cana-6093	169	18	2017	2017	NUM
cana-6093	169	19	)	)	PUNCT
cana-6093	169	20	.	.	PUNCT
cana-6093	170	1	convolutional	convolutional	ADJ
cana-6093	170	2	neural	neural	ADJ
cana-6093	170	3	networks	network	NOUN
cana-6093	170	4	for	for	ADP
cana-6093	170	5	inverse	inverse	NOUN
cana-6093	170	6	problems	problem	NOUN
cana-6093	170	7	in	in	ADP
cana-6093	170	8	imaging	imaging	PROPN
cana-6093	170	9	:	:	PUNCT
cana-6093	170	10	a	a	DET
cana-6093	170	11	review	review	NOUN
cana-6093	170	12	.	.	PUNCT
cana-6093	171	1	ieee	ieee	NOUN
cana-6093	171	2	signal	signal	PROPN
cana-6093	171	3	processing	processing	NOUN
cana-6093	171	4	magazine	magazine	NOUN
cana-6093	171	5	,	,	PUNCT
cana-6093	171	6	*	*	NOUN
cana-6093	171	7	34*(6	34*(6	NUM
cana-6093	171	8	)	)	PUNCT
cana-6093	171	9	,	,	PUNCT
cana-6093	171	10	85	85	NUM
cana-6093	171	11	-	-	SYM
cana-6093	171	12	95	95	NUM
cana-6093	171	13	.	.	PUNCT
cana-6093	172	1	11	11	NUM
cana-6093	172	2	.	.	X
cana-6093	173	1	bora	bora	PROPN
cana-6093	173	2	,	,	PUNCT
cana-6093	173	3	a.	a.	PROPN
cana-6093	173	4	,	,	PUNCT
cana-6093	173	5	jalal	jalal	PROPN
cana-6093	173	6	,	,	PUNCT
cana-6093	173	7	a.	a.	NOUN
cana-6093	173	8	,	,	PUNCT
cana-6093	173	9	price	price	NOUN
cana-6093	173	10	,	,	PUNCT
cana-6093	173	11	e.	e.	PROPN
cana-6093	173	12	,	,	PUNCT
cana-6093	173	13	&	&	CCONJ
cana-6093	173	14	dimakis	dimakis	PROPN
cana-6093	173	15	,	,	PUNCT
cana-6093	173	16	a.	a.	NOUN
cana-6093	173	17	g.	g.	PROPN
cana-6093	173	18	(	(	PUNCT
cana-6093	173	19	2017	2017	NUM
cana-6093	173	20	)	)	PUNCT
cana-6093	173	21	.	.	PUNCT
cana-6093	174	1	compressed	compress	VERB
cana-6093	174	2	sensing	sense	VERB
cana-6093	174	3	using	use	VERB
cana-6093	174	4	generative	generative	ADJ
cana-6093	174	5	models	model	NOUN
cana-6093	174	6	.	.	PUNCT
cana-6093	175	1	international	international	ADJ
cana-6093	175	2	conference	conference	NOUN
cana-6093	175	3	on	on	ADP
cana-6093	175	4	machine	machine	NOUN
cana-6093	175	5	learning	learning	NOUN
cana-6093	175	6	(	(	PUNCT
cana-6093	175	7	pp	pp	ADJ
cana-6093	175	8	.	.	PUNCT
cana-6093	176	1	537	537	NUM
cana-6093	176	2	-	-	NUM
cana-6093	176	3	546	546	NUM
cana-6093	176	4	)	)	PUNCT
cana-6093	176	5	.	.	PUNCT
cana-6093	177	1	12	12	NUM
cana-6093	177	2	.	.	PUNCT
cana-6093	178	1	hadamard	hadamard	PROPN
cana-6093	178	2	,	,	PUNCT
cana-6093	178	3	j.	j.	PROPN
cana-6093	178	4	(	(	PUNCT
cana-6093	178	5	1902	1902	NUM
cana-6093	178	6	)	)	PUNCT
cana-6093	178	7	.	.	PUNCT
cana-6093	179	1	sur	sur	PROPN
cana-6093	179	2	les	les	PROPN
cana-6093	179	3	problèmes	problème	NOUN
cana-6093	179	4	aux	aux	PROPN
cana-6093	179	5	dérivées	dérivées	PROPN
cana-6093	179	6	partielles	partielle	NOUN
cana-6093	179	7	et	et	PROPN
cana-6093	179	8	leur	leur	X
cana-6093	179	9	signification	signification	NOUN
cana-6093	179	10	physique	physique	NOUN
cana-6093	179	11	.	.	PUNCT
cana-6093	180	1	princeton	princeton	PROPN
cana-6093	180	2	university	university	PROPN
cana-6093	180	3	bulletin	bulletin	NOUN
cana-6093	180	4	,	,	PUNCT
cana-6093	180	5	49	49	NUM
cana-6093	180	6	-	-	SYM
cana-6093	180	7	52	52	NUM
cana-6093	180	8	.	.	PUNCT
cana-6093	180	9	13	13	NUM
cana-6093	180	10	.	.	PUNCT
cana-6093	181	1	mirza	mirza	PROPN
cana-6093	181	2	,	,	PUNCT
cana-6093	181	3	m.	m.	NOUN
cana-6093	181	4	,	,	PUNCT
cana-6093	181	5	&	&	CCONJ
cana-6093	181	6	osindero	osindero	NOUN
cana-6093	181	7	,	,	PUNCT
cana-6093	181	8	s.	s.	PROPN
cana-6093	181	9	(	(	PUNCT
cana-6093	181	10	2014	2014	NUM
cana-6093	181	11	)	)	PUNCT
cana-6093	181	12	.	.	PUNCT
cana-6093	182	1	conditional	conditional	ADJ
cana-6093	182	2	generative	generative	ADJ
cana-6093	182	3	adversarial	adversarial	ADJ
cana-6093	182	4	nets	net	NOUN
cana-6093	182	5	.	.	PUNCT
cana-6093	183	1	arxiv	arxiv	PROPN
cana-6093	183	2	preprint	preprint	NOUN
cana-6093	183	3	arxiv:1411.1784	arxiv:1411.1784	NOUN
cana-6093	183	4	.	.	PUNCT
cana-6093	184	1	14	14	NUM
cana-6093	184	2	.	.	PUNCT
cana-6093	185	1	stuart	stuart	PROPN
cana-6093	185	2	,	,	PUNCT
cana-6093	185	3	a.	a.	NOUN
cana-6093	185	4	m.	m.	NOUN
cana-6093	185	5	(	(	PUNCT
cana-6093	185	6	2010	2010	NUM
cana-6093	185	7	)	)	PUNCT
cana-6093	185	8	.	.	PUNCT
cana-6093	186	1	inverse	inverse	NOUN
cana-6093	186	2	problems	problem	NOUN
cana-6093	186	3	:	:	PUNCT
cana-6093	186	4	a	a	DET
cana-6093	186	5	bayesian	bayesian	NOUN
cana-6093	186	6	perspective	perspective	NOUN
cana-6093	186	7	.	.	PUNCT
cana-6093	187	1	acta	acta	PROPN
cana-6093	187	2	numerica	numerica	PROPN
cana-6093	187	3	,	,	PUNCT
cana-6093	187	4	*	*	NOUN
cana-6093	187	5	19	19	NUM
cana-6093	187	6	*	*	NOUN
cana-6093	187	7	,	,	PUNCT
cana-6093	187	8	451	451	NUM
cana-6093	187	9	-	-	SYM
cana-6093	187	10	559	559	NUM
cana-6093	187	11	.	.	PUNCT
cana-6093	188	1	15	15	NUM
cana-6093	188	2	.	.	PUNCT
cana-6093	189	1	radford	radford	PROPN
cana-6093	189	2	,	,	PUNCT
cana-6093	189	3	a.	a.	PROPN
cana-6093	189	4	,	,	PUNCT
cana-6093	189	5	metz	metz	PROPN
cana-6093	189	6	,	,	PUNCT
cana-6093	189	7	l.	l.	PROPN
cana-6093	189	8	,	,	PUNCT
cana-6093	189	9	&	&	CCONJ
cana-6093	189	10	chintala	chintala	PROPN
cana-6093	189	11	,	,	PUNCT
cana-6093	189	12	s.	s.	PROPN
cana-6093	189	13	(	(	PUNCT
cana-6093	189	14	2015	2015	NUM
cana-6093	189	15	)	)	PUNCT
cana-6093	189	16	.	.	PUNCT
cana-6093	190	1	unsupervised	unsupervised	ADJ
cana-6093	190	2	representation	representation	NOUN
cana-6093	190	3	learning	learn	VERB
cana-6093	190	4	with	with	ADP
cana-6093	190	5	deep	deep	ADJ
cana-6093	190	6	convolutional	convolutional	ADJ
cana-6093	190	7	generative	generative	ADJ
cana-6093	190	8	adversarial	adversarial	ADJ
cana-6093	190	9	networks	network	NOUN
cana-6093	190	10	.	.	PUNCT
cana-6093	191	1	international	international	ADJ
cana-6093	191	2	conference	conference	NOUN
cana-6093	191	3	on	on	ADP
cana-6093	191	4	learning	learn	VERB
cana-6093	191	5	representations	representation	NOUN
cana-6093	191	6	.	.	PUNCT
cana-6093	192	1	16	16	NUM
cana-6093	192	2	.	.	PUNCT
cana-6093	193	1	salimans	saliman	NOUN
cana-6093	193	2	,	,	PUNCT
cana-6093	193	3	t.	t.	PROPN
cana-6093	193	4	,	,	PUNCT
cana-6093	193	5	goodfellow	goodfellow	PROPN
cana-6093	193	6	,	,	PUNCT
cana-6093	193	7	i.	i.	PROPN
cana-6093	193	8	,	,	PUNCT
cana-6093	193	9	zaremba	zaremba	PROPN
cana-6093	193	10	,	,	PUNCT
cana-6093	193	11	w.	w.	PROPN
cana-6093	193	12	,	,	PUNCT
cana-6093	193	13	cheung	cheung	PROPN
cana-6093	193	14	,	,	PUNCT
cana-6093	193	15	v.	v.	PROPN
cana-6093	193	16	,	,	PUNCT
cana-6093	193	17	radford	radford	PROPN
cana-6093	193	18	,	,	PUNCT
cana-6093	193	19	a.	a.	PROPN
cana-6093	193	20	,	,	PUNCT
cana-6093	193	21	&	&	CCONJ
cana-6093	193	22	chen	chen	PROPN
cana-6093	193	23	,	,	PUNCT
cana-6093	193	24	x.	x.	PROPN
cana-6093	193	25	(	(	PUNCT
cana-6093	193	26	2016	2016	NUM
cana-6093	193	27	)	)	PUNCT
cana-6093	193	28	.	.	PUNCT
cana-6093	194	1	improved	improve	VERB
cana-6093	194	2	techniques	technique	NOUN
cana-6093	194	3	for	for	ADP
cana-6093	194	4	training	training	NOUN
cana-6093	194	5	gans	gan	NOUN
cana-6093	194	6	.	.	PUNCT
cana-6093	195	1	advances	advance	NOUN
cana-6093	195	2	in	in	ADP
cana-6093	195	3	neural	neural	ADJ
cana-6093	195	4	information	information	NOUN
cana-6093	195	5	processing	processing	NOUN
cana-6093	195	6	systems	system	NOUN
cana-6093	195	7	,	,	PUNCT
cana-6093	195	8	*	*	PUNCT
cana-6093	195	9	29	29	NUM
cana-6093	195	10	*	*	NUM
cana-6093	195	11	.	.	PUNCT
cana-6093	196	1	17	17	NUM
cana-6093	196	2	.	.	PUNCT
cana-6093	197	1	ronneberger	ronneberger	NOUN
cana-6093	197	2	,	,	PUNCT
cana-6093	197	3	o.	o.	PROPN
cana-6093	197	4	,	,	PUNCT
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cana-6093	197	7	p.	p.	PROPN
cana-6093	197	8	,	,	PUNCT
cana-6093	197	9	&	&	CCONJ
cana-6093	197	10	brox	brox	PROPN
cana-6093	197	11	,	,	PUNCT
cana-6093	197	12	t.	t.	PROPN
cana-6093	197	13	(	(	PUNCT
cana-6093	197	14	2015	2015	NUM
cana-6093	197	15	)	)	PUNCT
cana-6093	197	16	.	.	PUNCT
cana-6093	198	1	u	u	NOUN
cana-6093	198	2	-	-	NOUN
cana-6093	198	3	net	net	ADJ
cana-6093	198	4	:	:	PUNCT
cana-6093	198	5	convolutional	convolutional	ADJ
cana-6093	198	6	networks	network	NOUN
cana-6093	198	7	for	for	ADP
cana-6093	198	8	biomedical	biomedical	ADJ
cana-6093	198	9	image	image	NOUN
cana-6093	198	10	segmentation	segmentation	NOUN
cana-6093	198	11	.	.	PUNCT
cana-6093	199	1	international	international	ADJ
cana-6093	199	2	conference	conference	NOUN
cana-6093	199	3	on	on	ADP
cana-6093	199	4	medical	medical	ADJ
cana-6093	199	5	image	image	NOUN
cana-6093	199	6	computing	computing	NOUN
cana-6093	199	7	and	and	CCONJ
cana-6093	199	8	computer	computer	NOUN
cana-6093	199	9	-	-	PUNCT
cana-6093	199	10	assisted	assist	VERB
cana-6093	199	11	intervention	intervention	NOUN
cana-6093	199	12	(	(	PUNCT
cana-6093	199	13	pp	pp	ADJ
cana-6093	199	14	.	.	PUNCT
cana-6093	200	1	234	234	NUM
cana-6093	200	2	-	-	SYM
cana-6093	200	3	241	241	NUM
cana-6093	200	4	)	)	PUNCT
cana-6093	200	5	.	.	PUNCT
cana-6093	201	1	communications	communication	NOUN
cana-6093	201	2	on	on	ADP
cana-6093	201	3	applied	apply	VERB
cana-6093	201	4	nonlinear	nonlinear	ADJ
cana-6093	201	5	analysis	analysis	NOUN
cana-6093	201	6	issn	issn	NOUN
cana-6093	201	7	:	:	PUNCT
cana-6093	201	8	1074	1074	NUM
cana-6093	201	9	-	-	PUNCT
cana-6093	201	10	133x	133x	NUM
cana-6093	201	11	vol	vol	NOUN
cana-6093	201	12	31	31	NUM
cana-6093	201	13	no	no	NOUN
cana-6093	201	14	.	.	NOUN
cana-6093	201	15	1	1	NUM
cana-6093	201	16	(	(	PUNCT
cana-6093	201	17	2024	2024	NUM
cana-6093	201	18	)	)	PUNCT
cana-6093	201	19	374	374	NUM
cana-6093	201	20	https://internationalpubls.com	https://internationalpubls.com	SYM
cana-6093	201	21	18	18	NUM
cana-6093	201	22	.	.	PUNCT
cana-6093	201	23	isola	isola	PROPN
cana-6093	201	24	,	,	PUNCT
cana-6093	201	25	p.	p.	PROPN
cana-6093	201	26	,	,	PUNCT
cana-6093	201	27	zhu	zhu	PROPN
cana-6093	201	28	,	,	PUNCT
cana-6093	201	29	j.	j.	PROPN
cana-6093	201	30	y.	y.	PROPN
cana-6093	201	31	,	,	PUNCT
cana-6093	201	32	zhou	zhou	PROPN
cana-6093	201	33	,	,	PUNCT
cana-6093	201	34	t.	t.	PROPN
cana-6093	201	35	,	,	PUNCT
cana-6093	201	36	&	&	CCONJ
cana-6093	201	37	efros	efros	PROPN
cana-6093	201	38	,	,	PUNCT
cana-6093	201	39	a.	a.	NOUN
cana-6093	201	40	a.	a.	PROPN
cana-6093	201	41	(	(	PUNCT
cana-6093	201	42	2017	2017	NUM
cana-6093	201	43	)	)	PUNCT
cana-6093	201	44	.	.	PUNCT
cana-6093	202	1	image	image	NOUN
cana-6093	202	2	-	-	PUNCT
cana-6093	202	3	to	to	ADP
cana-6093	202	4	-	-	PUNCT
cana-6093	202	5	image	image	NOUN
cana-6093	202	6	translation	translation	NOUN
cana-6093	202	7	with	with	ADP
cana-6093	202	8	conditional	conditional	ADJ
cana-6093	202	9	adversarial	adversarial	ADJ
cana-6093	202	10	networks	network	NOUN
cana-6093	202	11	.	.	PUNCT
cana-6093	203	1	proceedings	proceeding	NOUN
cana-6093	203	2	of	of	ADP
cana-6093	203	3	the	the	DET
cana-6093	203	4	ieee	ieee	NOUN
cana-6093	203	5	conference	conference	NOUN
cana-6093	203	6	on	on	ADP
cana-6093	203	7	computer	computer	NOUN
cana-6093	203	8	vision	vision	NOUN
cana-6093	203	9	and	and	CCONJ
cana-6093	203	10	pattern	pattern	NOUN
cana-6093	203	11	recognition	recognition	NOUN
cana-6093	203	12	(	(	PUNCT
cana-6093	203	13	pp	pp	PROPN
cana-6093	203	14	.	.	PUNCT
cana-6093	204	1	1125	1125	NUM
cana-6093	204	2	-	-	SYM
cana-6093	204	3	1134	1134	NUM
cana-6093	204	4	)	)	PUNCT
cana-6093	204	5	.	.	PUNCT
cana-6093	205	1	19	19	NUM
cana-6093	205	2	.	.	X
cana-6093	205	3	adler	adler	PROPN
cana-6093	205	4	,	,	PUNCT
cana-6093	205	5	j.	j.	PROPN
cana-6093	205	6	,	,	PUNCT
cana-6093	205	7	&	&	CCONJ
cana-6093	205	8	öktem	öktem	PROPN
cana-6093	205	9	,	,	PUNCT
cana-6093	205	10	o.	o.	PROPN
cana-6093	205	11	(	(	PUNCT
cana-6093	205	12	2017	2017	NUM
cana-6093	205	13	)	)	PUNCT
cana-6093	205	14	.	.	PUNCT
cana-6093	206	1	learned	learn	VERB
cana-6093	206	2	primal	primal	ADJ
cana-6093	206	3	-	-	PUNCT
cana-6093	206	4	dual	dual	ADJ
cana-6093	206	5	reconstruction	reconstruction	NOUN
cana-6093	206	6	.	.	PUNCT
cana-6093	207	1	ieee	ieee	NOUN
cana-6093	207	2	transactions	transaction	NOUN
cana-6093	207	3	on	on	ADP
cana-6093	207	4	medical	medical	ADJ
cana-6093	207	5	imaging	imaging	NOUN
cana-6093	207	6	,	,	PUNCT
cana-6093	207	7	*	*	NOUN
cana-6093	207	8	37*(6	37*(6	NUM
cana-6093	207	9	)	)	PUNCT
cana-6093	207	10	,	,	PUNCT
cana-6093	207	11	1322	1322	NUM
cana-6093	207	12	-	-	SYM
cana-6093	207	13	1332	1332	NUM
cana-6093	207	14	.	.	PUNCT
cana-6093	208	1	20	20	NUM
cana-6093	208	2	.	.	PUNCT
cana-6093	208	3	kingma	kingma	PROPN
cana-6093	208	4	,	,	PUNCT
cana-6093	208	5	d.	d.	PROPN
cana-6093	208	6	p.	p.	PROPN
cana-6093	208	7	,	,	PUNCT
cana-6093	208	8	&	&	CCONJ
cana-6093	208	9	welling	well	VERB
cana-6093	208	10	,	,	PUNCT
cana-6093	208	11	m.	m.	NOUN
cana-6093	208	12	(	(	PUNCT
cana-6093	208	13	2013	2013	NUM
cana-6093	208	14	)	)	PUNCT
cana-6093	208	15	.	.	PUNCT
cana-6093	209	1	auto	auto	NOUN
cana-6093	209	2	-	-	PUNCT
cana-6093	209	3	encoding	encode	VERB
cana-6093	209	4	variational	variational	ADJ
cana-6093	209	5	bayes	baye	NOUN
cana-6093	209	6	.	.	PUNCT
cana-6093	210	1	international	international	ADJ
cana-6093	210	2	conference	conference	NOUN
cana-6093	210	3	on	on	ADP
cana-6093	210	4	learning	learn	VERB
cana-6093	210	5	representations	representation	NOUN
cana-6093	210	6	.	.	PUNCT
cana-6093	211	1	21	21	NUM
cana-6093	211	2	.	.	PUNCT
cana-6093	211	3	lucas	lucas	PROPN
cana-6093	211	4	,	,	PUNCT
cana-6093	211	5	a.	a.	NOUN
cana-6093	211	6	,	,	PUNCT
cana-6093	211	7	iliadis	iliadis	PROPN
cana-6093	211	8	,	,	PUNCT
cana-6093	211	9	m.	m.	NOUN
cana-6093	211	10	,	,	PUNCT
cana-6093	211	11	molina	molina	PROPN
cana-6093	211	12	,	,	PUNCT
cana-6093	211	13	r.	r.	PROPN
cana-6093	211	14	,	,	PUNCT
cana-6093	211	15	&	&	CCONJ
cana-6093	211	16	katsaggelos	katsaggelos	PROPN
cana-6093	211	17	,	,	PUNCT
cana-6093	211	18	a.	a.	PROPN
cana-6093	211	19	k.	k.	PROPN
cana-6093	211	20	(	(	PUNCT
cana-6093	211	21	2018	2018	NUM
cana-6093	211	22	)	)	PUNCT
cana-6093	211	23	.	.	PUNCT
cana-6093	212	1	using	use	VERB
cana-6093	212	2	deep	deep	ADJ
cana-6093	212	3	neural	neural	ADJ
cana-6093	212	4	networks	network	NOUN
cana-6093	212	5	for	for	ADP
cana-6093	212	6	inverse	inverse	NOUN
cana-6093	212	7	problems	problem	NOUN
cana-6093	212	8	in	in	ADP
cana-6093	212	9	imaging	imaging	NOUN
cana-6093	212	10	:	:	PUNCT
cana-6093	212	11	beyond	beyond	ADP
cana-6093	212	12	analytical	analytical	ADJ
cana-6093	212	13	methods	method	NOUN
cana-6093	212	14	.	.	PUNCT
cana-6093	213	1	ieee	ieee	NOUN
cana-6093	213	2	signal	signal	PROPN
cana-6093	213	3	processing	processing	NOUN
cana-6093	213	4	magazine	magazine	NOUN
cana-6093	213	5	,	,	PUNCT
cana-6093	213	6	*	*	NOUN
cana-6093	213	7	35*(1	35*(1	NUM
cana-6093	213	8	)	)	PUNCT
cana-6093	213	9	,	,	PUNCT
cana-6093	213	10	20	20	NUM
cana-6093	213	11	-	-	SYM
cana-6093	213	12	36	36	NUM
cana-6093	213	13	.	.	PUNCT
cana-6093	214	1	22	22	NUM
cana-6093	214	2	.	.	PUNCT
cana-6093	215	1	zhu	zhu	PROPN
cana-6093	215	2	,	,	PUNCT
cana-6093	215	3	j.	j.	PROPN
cana-6093	215	4	y.	y.	PROPN
cana-6093	215	5	,	,	PUNCT
cana-6093	215	6	park	park	NOUN
cana-6093	215	7	,	,	PUNCT
cana-6093	215	8	t.	t.	PROPN
cana-6093	215	9	,	,	PUNCT
cana-6093	215	10	isola	isola	PROPN
cana-6093	215	11	,	,	PUNCT
cana-6093	215	12	p.	p.	PROPN
cana-6093	215	13	,	,	PUNCT
cana-6093	215	14	&	&	CCONJ
cana-6093	215	15	efros	efros	PROPN
cana-6093	215	16	,	,	PUNCT
cana-6093	215	17	a.	a.	NOUN
cana-6093	215	18	a.	a.	PROPN
cana-6093	215	19	(	(	PUNCT
cana-6093	215	20	2017	2017	NUM
cana-6093	215	21	)	)	PUNCT
cana-6093	215	22	.	.	PUNCT
cana-6093	216	1	unpaired	unpaired	ADJ
cana-6093	216	2	image	image	NOUN
cana-6093	216	3	-	-	PUNCT
cana-6093	216	4	to	to	ADP
cana-6093	216	5	-	-	PUNCT
cana-6093	216	6	image	image	NOUN
cana-6093	216	7	translation	translation	NOUN
cana-6093	216	8	using	use	VERB
cana-6093	216	9	cycleconsistent	cycleconsistent	NOUN
cana-6093	216	10	adversarial	adversarial	ADJ
cana-6093	216	11	networks	network	NOUN
cana-6093	216	12	.	.	PUNCT
cana-6093	217	1	proceedings	proceeding	NOUN
cana-6093	217	2	of	of	ADP
cana-6093	217	3	the	the	DET
cana-6093	217	4	ieee	ieee	NOUN
cana-6093	217	5	international	international	PROPN
cana-6093	217	6	conference	conference	NOUN
cana-6093	217	7	on	on	ADP
cana-6093	217	8	computer	computer	NOUN
cana-6093	217	9	vision	vision	NOUN
cana-6093	217	10	(	(	PUNCT
cana-6093	217	11	pp	pp	ADJ
cana-6093	217	12	.	.	PUNCT
cana-6093	218	1	2223	2223	NUM
cana-6093	218	2	-	-	SYM
cana-6093	218	3	2232	2232	NUM
cana-6093	218	4	)	)	PUNCT
cana-6093	218	5	.	.	PUNCT
cana-6093	219	1	23	23	NUM
cana-6093	219	2	.	.	PUNCT
cana-6093	220	1	litjens	litjen	NOUN
cana-6093	220	2	,	,	PUNCT
cana-6093	220	3	g.	g.	PROPN
cana-6093	220	4	,	,	PUNCT
cana-6093	220	5	kooi	kooi	PROPN
cana-6093	220	6	,	,	PUNCT
cana-6093	220	7	t.	t.	PROPN
cana-6093	220	8	,	,	PUNCT
cana-6093	220	9	bejnordi	bejnordi	PROPN
cana-6093	220	10	,	,	PUNCT
cana-6093	220	11	b.	b.	PROPN
cana-6093	220	12	e.	e.	PROPN
cana-6093	220	13	,	,	PUNCT
cana-6093	220	14	setio	setio	PROPN
cana-6093	220	15	,	,	PUNCT
cana-6093	220	16	a.	a.	PROPN
cana-6093	220	17	a.	a.	NOUN
cana-6093	220	18	a.	a.	PROPN
cana-6093	220	19	,	,	PUNCT
cana-6093	220	20	ciompi	ciompi	PROPN
cana-6093	220	21	,	,	PUNCT
cana-6093	220	22	f.	f.	PROPN
cana-6093	220	23	,	,	PUNCT
cana-6093	220	24	ghafoorian	ghafoorian	PROPN
cana-6093	220	25	,	,	PUNCT
cana-6093	220	26	m.	m.	NOUN
cana-6093	220	27	,	,	PUNCT
cana-6093	220	28	...	...	PUNCT
cana-6093	220	29	&	&	CCONJ
cana-6093	220	30	sánchez	sánchez	PROPN
cana-6093	220	31	,	,	PUNCT
cana-6093	220	32	c.	c.	PROPN
cana-6093	220	33	i.	i.	PROPN
cana-6093	220	34	(	(	PUNCT
cana-6093	220	35	2017	2017	NUM
cana-6093	220	36	)	)	PUNCT
cana-6093	220	37	.	.	PUNCT
cana-6093	221	1	a	a	DET
cana-6093	221	2	survey	survey	NOUN
cana-6093	221	3	on	on	ADP
cana-6093	221	4	deep	deep	ADJ
cana-6093	221	5	learning	learning	NOUN
cana-6093	221	6	in	in	ADP
cana-6093	221	7	medical	medical	ADJ
cana-6093	221	8	image	image	NOUN
cana-6093	221	9	analysis	analysis	NOUN
cana-6093	221	10	.	.	PUNCT
cana-6093	222	1	medical	medical	ADJ
cana-6093	222	2	image	image	NOUN
cana-6093	222	3	analysis	analysis	NOUN
cana-6093	222	4	,	,	PUNCT
cana-6093	222	5	*	*	NOUN
cana-6093	222	6	42	42	NUM
cana-6093	222	7	*	*	SYM
cana-6093	222	8	,	,	PUNCT
cana-6093	222	9	60	60	NUM
cana-6093	222	10	-	-	SYM
cana-6093	222	11	88	88	NUM
cana-6093	222	12	.	.	PUNCT
cana-6093	223	1	24	24	NUM
cana-6093	223	2	.	.	PUNCT
cana-6093	224	1	arjovsky	arjovsky	PROPN
cana-6093	224	2	,	,	PUNCT
cana-6093	224	3	m.	m.	NOUN
cana-6093	224	4	,	,	PUNCT
cana-6093	224	5	chintala	chintala	PROPN
cana-6093	224	6	,	,	PUNCT
cana-6093	224	7	s.	s.	PROPN
cana-6093	224	8	,	,	PUNCT
cana-6093	224	9	&	&	CCONJ
cana-6093	224	10	bottou	bottou	PROPN
cana-6093	224	11	,	,	PUNCT
cana-6093	224	12	l.	l.	PROPN
cana-6093	224	13	(	(	PUNCT
cana-6093	224	14	2017	2017	NUM
cana-6093	224	15	)	)	PUNCT
cana-6093	224	16	.	.	PUNCT
cana-6093	225	1	wasserstein	wasserstein	PROPN
cana-6093	225	2	generative	generative	VERB
cana-6093	225	3	adversarial	adversarial	ADJ
cana-6093	225	4	networks	network	NOUN
cana-6093	225	5	.	.	PUNCT
cana-6093	226	1	international	international	ADJ
cana-6093	226	2	conference	conference	NOUN
cana-6093	226	3	on	on	ADP
cana-6093	226	4	machine	machine	NOUN
cana-6093	226	5	learning	learning	NOUN
cana-6093	226	6	(	(	PUNCT
cana-6093	226	7	pp	pp	ADJ
cana-6093	226	8	.	.	PUNCT
cana-6093	227	1	214	214	NUM
cana-6093	227	2	-	-	SYM
cana-6093	227	3	223	223	NUM
cana-6093	227	4	)	)	PUNCT
cana-6093	227	5	.	.	PUNCT
cana-6093	228	1	25	25	NUM
cana-6093	228	2	.	.	X
cana-6093	228	3	ongie	ongie	PROPN
cana-6093	228	4	,	,	PUNCT
cana-6093	228	5	g.	g.	PROPN
cana-6093	228	6	,	,	PUNCT
cana-6093	228	7	jalal	jalal	PROPN
cana-6093	228	8	,	,	PUNCT
cana-6093	228	9	a.	a.	PROPN
cana-6093	228	10	,	,	PUNCT
cana-6093	228	11	metzler	metzler	NOUN
cana-6093	228	12	,	,	PUNCT
cana-6093	228	13	c.	c.	PROPN
cana-6093	228	14	a.	a.	PROPN
cana-6093	228	15	,	,	PUNCT
cana-6093	228	16	baraniuk	baraniuk	PROPN
cana-6093	228	17	,	,	PUNCT
cana-6093	228	18	r.	r.	PROPN
cana-6093	228	19	g.	g.	PROPN
cana-6093	228	20	,	,	PUNCT
cana-6093	228	21	dimakis	dimakis	PROPN
cana-6093	228	22	,	,	PUNCT
cana-6093	228	23	a.	a.	NOUN
cana-6093	228	24	g.	g.	PROPN
cana-6093	228	25	,	,	PUNCT
cana-6093	228	26	&	&	CCONJ
cana-6093	228	27	willett	willett	PROPN
cana-6093	228	28	,	,	PUNCT
cana-6093	228	29	r.	r.	PROPN
cana-6093	228	30	(	(	PUNCT
cana-6093	228	31	2020	2020	NUM
cana-6093	228	32	)	)	PUNCT
cana-6093	228	33	.	.	PUNCT
cana-6093	229	1	deep	deep	ADJ
cana-6093	229	2	learning	learning	NOUN
cana-6093	229	3	techniques	technique	NOUN
cana-6093	229	4	for	for	ADP
cana-6093	229	5	inverse	inverse	NOUN
cana-6093	229	6	problems	problem	NOUN
cana-6093	229	7	in	in	ADP
cana-6093	229	8	imaging	imaging	NOUN
cana-6093	229	9	.	.	PUNCT
cana-6093	230	1	ieee	ieee	PROPN
cana-6093	230	2	journal	journal	PROPN
cana-6093	230	3	on	on	ADP
cana-6093	230	4	selected	select	VERB
cana-6093	230	5	areas	area	NOUN
cana-6093	230	6	in	in	ADP
cana-6093	230	7	information	information	NOUN
cana-6093	230	8	theory	theory	NOUN
cana-6093	230	9	,	,	PUNCT
cana-6093	230	10	*	*	NOUN
cana-6093	230	11	1*(1	1*(1	NUM
cana-6093	230	12	)	)	PUNCT
cana-6093	230	13	,	,	PUNCT
cana-6093	230	14	39	39	NUM
cana-6093	230	15	-	-	SYM
cana-6093	230	16	56	56	NUM
cana-6093	230	17	.	.	NOUN
cana-6093	230	18	26	26	NUM
cana-6093	230	19	.	.	X
cana-6093	231	1	yang	yang	PROPN
cana-6093	231	2	,	,	PUNCT
cana-6093	231	3	y.	y.	PROPN
cana-6093	231	4	,	,	PUNCT
cana-6093	231	5	&	&	CCONJ
cana-6093	231	6	perdikaris	perdikaris	PROPN
cana-6093	231	7	,	,	PUNCT
cana-6093	231	8	p.	p.	NOUN
cana-6093	231	9	(	(	PUNCT
cana-6093	231	10	2019	2019	NUM
cana-6093	231	11	)	)	PUNCT
cana-6093	231	12	.	.	PUNCT
cana-6093	232	1	adversarial	adversarial	ADJ
cana-6093	232	2	uncertainty	uncertainty	NOUN
cana-6093	232	3	quantification	quantification	NOUN
cana-6093	232	4	in	in	ADP
cana-6093	232	5	physics	physics	NOUN
cana-6093	232	6	-	-	PUNCT
cana-6093	232	7	informed	inform	VERB
cana-6093	232	8	neural	neural	ADJ
cana-6093	232	9	networks	network	NOUN
cana-6093	232	10	.	.	PUNCT
cana-6093	233	1	journal	journal	NOUN
cana-6093	233	2	of	of	ADP
cana-6093	233	3	computational	computational	ADJ
cana-6093	233	4	physics	physic	NOUN
cana-6093	233	5	,	,	PUNCT
cana-6093	233	6	*	*	SYM
cana-6093	233	7	394	394	NUM
cana-6093	233	8	*	*	NOUN
cana-6093	233	9	,	,	PUNCT
cana-6093	233	10	136	136	NUM
cana-6093	233	11	-	-	SYM
cana-6093	233	12	152	152	NUM
cana-6093	233	13	.	.	PUNCT
cana-6093	233	14	27	27	NUM
cana-6093	233	15	.	.	PUNCT
cana-6093	234	1	asim	asim	PROPN
cana-6093	234	2	,	,	PUNCT
cana-6093	234	3	m.	m.	NOUN
cana-6093	234	4	,	,	PUNCT
cana-6093	234	5	daniels	daniels	PROPN
cana-6093	234	6	,	,	PUNCT
cana-6093	234	7	m.	m.	NOUN
cana-6093	234	8	,	,	PUNCT
cana-6093	234	9	leong	leong	PROPN
cana-6093	234	10	,	,	PUNCT
cana-6093	234	11	o.	o.	PROPN
cana-6093	234	12	,	,	PUNCT
cana-6093	234	13	ahmed	ahmed	PROPN
cana-6093	234	14	,	,	PUNCT
cana-6093	234	15	a.	a.	PROPN
cana-6093	234	16	,	,	PUNCT
cana-6093	234	17	&	&	CCONJ
cana-6093	234	18	hand	hand	PROPN
cana-6093	234	19	,	,	PUNCT
cana-6093	234	20	p.	p.	NOUN
cana-6093	234	21	(	(	PUNCT
cana-6093	234	22	2020	2020	NUM
cana-6093	234	23	)	)	PUNCT
cana-6093	234	24	.	.	PUNCT
cana-6093	235	1	invertible	invertible	ADJ
cana-6093	235	2	generative	generative	ADJ
cana-6093	235	3	models	model	NOUN
cana-6093	235	4	for	for	ADP
cana-6093	235	5	inverse	inverse	NOUN
cana-6093	235	6	problems	problem	NOUN
cana-6093	235	7	:	:	PUNCT
cana-6093	235	8	mitigating	mitigate	VERB
cana-6093	235	9	representation	representation	NOUN
cana-6093	235	10	error	error	NOUN
cana-6093	235	11	.	.	PUNCT
cana-6093	236	1	proceedings	proceeding	NOUN
cana-6093	236	2	of	of	ADP
cana-6093	236	3	the	the	DET
cana-6093	236	4	ieee	ieee	NOUN
cana-6093	236	5	/	/	SYM
cana-6093	236	6	cvf	cvf	NOUN
cana-6093	236	7	conference	conference	NOUN
cana-6093	236	8	on	on	ADP
cana-6093	236	9	computer	computer	NOUN
cana-6093	236	10	vision	vision	NOUN
cana-6093	236	11	and	and	CCONJ
cana-6093	236	12	pattern	pattern	NOUN
cana-6093	236	13	recognition	recognition	NOUN
cana-6093	236	14	workshops	workshop	NOUN
cana-6093	236	15	(	(	PUNCT
cana-6093	236	16	pp	pp	ADJ
cana-6093	236	17	.	.	PUNCT
cana-6093	237	1	102	102	NUM
cana-6093	237	2	-	-	SYM
cana-6093	237	3	103	103	NUM
cana-6093	237	4	)	)	PUNCT
cana-6093	237	5	.	.	PUNCT
cana-6093	238	1	28	28	NUM
cana-6093	238	2	.	.	X
cana-6093	239	1	ulyanov	ulyanov	PROPN
cana-6093	239	2	,	,	PUNCT
cana-6093	239	3	d.	d.	PROPN
cana-6093	239	4	,	,	PUNCT
cana-6093	239	5	vedaldi	vedaldi	PROPN
cana-6093	239	6	,	,	PUNCT
cana-6093	239	7	a.	a.	NOUN
cana-6093	239	8	,	,	PUNCT
cana-6093	239	9	&	&	CCONJ
cana-6093	239	10	lempitsky	lempitsky	PROPN
cana-6093	239	11	,	,	PUNCT
cana-6093	239	12	v.	v.	PROPN
cana-6093	239	13	(	(	PUNCT
cana-6093	239	14	2018	2018	NUM
cana-6093	239	15	)	)	PUNCT
cana-6093	239	16	.	.	PUNCT
cana-6093	240	1	deep	deep	ADJ
cana-6093	240	2	image	image	NOUN
cana-6093	240	3	prior	prior	ADV
cana-6093	240	4	.	.	PUNCT
cana-6093	241	1	proceedings	proceeding	NOUN
cana-6093	241	2	of	of	ADP
cana-6093	241	3	the	the	DET
cana-6093	241	4	ieee	ieee	NOUN
cana-6093	241	5	conference	conference	NOUN
cana-6093	241	6	on	on	ADP
cana-6093	241	7	computer	computer	NOUN
cana-6093	241	8	vision	vision	NOUN
cana-6093	241	9	and	and	CCONJ
cana-6093	241	10	pattern	pattern	NOUN
cana-6093	241	11	recognition	recognition	NOUN
cana-6093	241	12	(	(	PUNCT
cana-6093	241	13	pp	pp	ADJ
cana-6093	241	14	.	.	PUNCT
cana-6093	242	1	9446	9446	NUM
cana-6093	242	2	-	-	SYM
cana-6093	242	3	9454	9454	NUM
cana-6093	242	4	)	)	PUNCT
cana-6093	242	5	.	.	PUNCT
cana-6093	243	1	29	29	NUM
cana-6093	243	2	.	.	PUNCT
cana-6093	243	3	rick	rick	PROPN
cana-6093	243	4	chang	chang	PROPN
cana-6093	243	5	,	,	PUNCT
cana-6093	243	6	j.	j.	PROPN
cana-6093	243	7	h.	h.	PROPN
cana-6093	243	8	,	,	PUNCT
cana-6093	243	9	li	li	PROPN
cana-6093	243	10	,	,	PUNCT
cana-6093	243	11	c.	c.	PROPN
cana-6093	243	12	l.	l.	PROPN
cana-6093	243	13	,	,	PUNCT
cana-6093	243	14	póczos	póczos	PROPN
cana-6093	243	15	,	,	PUNCT
cana-6093	243	16	b.	b.	PROPN
cana-6093	243	17	,	,	PUNCT
cana-6093	243	18	vijaya	vijaya	PROPN
cana-6093	243	19	kumar	kumar	PROPN
cana-6093	243	20	,	,	PUNCT
cana-6093	243	21	b.	b.	PROPN
cana-6093	243	22	v.	v.	PROPN
cana-6093	243	23	,	,	PUNCT
cana-6093	243	24	&	&	CCONJ
cana-6093	243	25	sankaranarayanan	sankaranarayanan	PROPN
cana-6093	243	26	,	,	PUNCT
cana-6093	243	27	a.	a.	PROPN
cana-6093	243	28	c.	c.	PROPN
cana-6093	243	29	(	(	PUNCT
cana-6093	243	30	2017	2017	NUM
cana-6093	243	31	)	)	PUNCT
cana-6093	243	32	.	.	PUNCT
cana-6093	244	1	one	one	NUM
cana-6093	244	2	network	network	NOUN
cana-6093	244	3	to	to	PART
cana-6093	244	4	solve	solve	VERB
cana-6093	244	5	them	they	PRON
cana-6093	244	6	all	all	PRON
cana-6093	244	7	--	--	PUNCT
cana-6093	244	8	solving	solve	VERB
cana-6093	244	9	linear	linear	ADJ
cana-6093	244	10	inverse	inverse	NOUN
cana-6093	244	11	problems	problem	NOUN
cana-6093	244	12	using	use	VERB
cana-6093	244	13	deep	deep	ADJ
cana-6093	244	14	projection	projection	NOUN
cana-6093	244	15	models	model	NOUN
cana-6093	244	16	.	.	PUNCT
cana-6093	245	1	proceedings	proceeding	NOUN
cana-6093	245	2	of	of	ADP
cana-6093	245	3	the	the	DET
cana-6093	245	4	ieee	ieee	NOUN
cana-6093	245	5	international	international	PROPN
cana-6093	245	6	conference	conference	NOUN
cana-6093	245	7	on	on	ADP
cana-6093	245	8	computer	computer	NOUN
cana-6093	245	9	vision	vision	NOUN
cana-6093	245	10	(	(	PUNCT
cana-6093	245	11	pp	pp	ADJ
cana-6093	245	12	.	.	PUNCT
cana-6093	246	1	5888	5888	NUM
cana-6093	246	2	-	-	SYM
cana-6093	246	3	5897	5897	NUM
cana-6093	246	4	)	)	PUNCT
cana-6093	246	5	.	.	PUNCT
cana-6093	247	1	30	30	NUM
cana-6093	247	2	.	.	PUNCT
cana-6093	248	1	mardani	mardani	PROPN
cana-6093	248	2	,	,	PUNCT
cana-6093	248	3	m.	m.	NOUN
cana-6093	248	4	,	,	PUNCT
cana-6093	248	5	gong	gong	PROPN
cana-6093	248	6	,	,	PUNCT
cana-6093	248	7	e.	e.	PROPN
cana-6093	248	8	,	,	PUNCT
cana-6093	248	9	cheng	cheng	PROPN
cana-6093	248	10	,	,	PUNCT
cana-6093	248	11	j.	j.	PROPN
cana-6093	248	12	y.	y.	PROPN
cana-6093	248	13	,	,	PUNCT
cana-6093	248	14	vasanawala	vasanawala	NOUN
cana-6093	248	15	,	,	PUNCT
cana-6093	248	16	s.	s.	PROPN
cana-6093	248	17	s.	s.	PROPN
cana-6093	248	18	,	,	PUNCT
cana-6093	248	19	zaharchuk	zaharchuk	NOUN
cana-6093	248	20	,	,	PUNCT
cana-6093	248	21	g.	g.	PROPN
cana-6093	248	22	,	,	PUNCT
cana-6093	248	23	xing	xing	PROPN
cana-6093	248	24	,	,	PUNCT
cana-6093	248	25	l.	l.	PROPN
cana-6093	248	26	,	,	PUNCT
cana-6093	248	27	&	&	CCONJ
cana-6093	248	28	pauly	pauly	PROPN
cana-6093	248	29	,	,	PUNCT
cana-6093	248	30	j.	j.	PROPN
cana-6093	248	31	m.	m.	PROPN
cana-6093	248	32	(	(	PUNCT
cana-6093	248	33	2018	2018	NUM
cana-6093	248	34	)	)	PUNCT
cana-6093	248	35	.	.	PUNCT
cana-6093	249	1	deep	deep	ADJ
cana-6093	249	2	generative	generative	ADJ
cana-6093	249	3	adversarial	adversarial	ADJ
cana-6093	249	4	neural	neural	ADJ
cana-6093	249	5	networks	network	NOUN
cana-6093	249	6	for	for	ADP
cana-6093	249	7	compressive	compressive	ADJ
cana-6093	249	8	sensing	sense	VERB
cana-6093	249	9	mri	mri	NOUN
cana-6093	249	10	.	.	PUNCT
cana-6093	250	1	ieee	ieee	NOUN
cana-6093	250	2	transactions	transaction	NOUN
cana-6093	250	3	on	on	ADP
cana-6093	250	4	medical	medical	ADJ
cana-6093	250	5	imaging	imaging	NOUN
cana-6093	250	6	,	,	PUNCT
cana-6093	250	7	*	*	NOUN
cana-6093	250	8	38*(1	38*(1	NUM
cana-6093	250	9	)	)	PUNCT
cana-6093	250	10	,	,	PUNCT
cana-6093	250	11	167	167	NUM
cana-6093	250	12	-	-	SYM
cana-6093	250	13	179	179	NUM
cana-6093	250	14	.	.	PUNCT
cana-6093	251	1	31	31	NUM
cana-6093	251	2	.	.	PUNCT
cana-6093	252	1	buzug	buzug	PROPN
cana-6093	252	2	,	,	PUNCT
cana-6093	252	3	t.	t.	PROPN
cana-6093	252	4	m.	m.	NOUN
cana-6093	252	5	(	(	PUNCT
cana-6093	252	6	2008	2008	NUM
cana-6093	252	7	)	)	PUNCT
cana-6093	252	8	.	.	PUNCT
cana-6093	253	1	computed	compute	VERB
cana-6093	253	2	tomography	tomography	NOUN
cana-6093	253	3	:	:	PUNCT
cana-6093	253	4	from	from	ADP
cana-6093	253	5	photon	photon	NOUN
cana-6093	253	6	statistics	statistic	NOUN
cana-6093	253	7	to	to	ADP
cana-6093	253	8	modern	modern	ADJ
cana-6093	253	9	cone	cone	NOUN
cana-6093	253	10	-	-	PUNCT
cana-6093	253	11	beam	beam	NOUN
cana-6093	254	1	ct	ct	PROPN
cana-6093	254	2	.	.	PUNCT
cana-6093	254	3	springer	springer	PROPN
cana-6093	254	4	science	science	PROPN
cana-6093	254	5	&	&	CCONJ
cana-6093	254	6	business	business	NOUN
cana-6093	254	7	media	medium	NOUN
cana-6093	254	8	.	.	PUNCT
cana-6093	255	1	32	32	NUM
cana-6093	255	2	.	.	X
cana-6093	256	1	tarantola	tarantola	PROPN
cana-6093	256	2	,	,	PUNCT
cana-6093	256	3	a.	a.	NOUN
cana-6093	256	4	(	(	PUNCT
cana-6093	256	5	2005	2005	NUM
cana-6093	256	6	)	)	PUNCT
cana-6093	256	7	.	.	PUNCT
cana-6093	257	1	inverse	inverse	ADJ
cana-6093	257	2	problem	problem	NOUN
cana-6093	257	3	theory	theory	NOUN
cana-6093	257	4	and	and	CCONJ
cana-6093	257	5	methods	method	NOUN
cana-6093	257	6	for	for	ADP
cana-6093	257	7	model	model	NOUN
cana-6093	257	8	parameter	parameter	PROPN
cana-6093	257	9	estimation	estimation	PROPN
cana-6093	257	10	.	.	PUNCT
cana-6093	258	1	siam	siam	PROPN
cana-6093	258	2	.	.	PUNCT
cana-6093	259	1	33	33	NUM
cana-6093	259	2	.	.	PUNCT
cana-6093	260	1	kaipio	kaipio	PROPN
cana-6093	260	2	,	,	PUNCT
cana-6093	260	3	j.	j.	PROPN
cana-6093	260	4	,	,	PUNCT
cana-6093	260	5	&	&	CCONJ
cana-6093	260	6	somersalo	somersalo	PROPN
cana-6093	260	7	,	,	PUNCT
cana-6093	260	8	e.	e.	PROPN
cana-6093	260	9	(	(	PUNCT
cana-6093	260	10	2006	2006	NUM
cana-6093	260	11	)	)	PUNCT
cana-6093	260	12	.	.	PUNCT
cana-6093	261	1	statistical	statistical	ADJ
cana-6093	261	2	and	and	CCONJ
cana-6093	261	3	computational	computational	ADJ
cana-6093	261	4	inverse	inverse	NOUN
cana-6093	261	5	problems	problem	NOUN
cana-6093	261	6	.	.	PUNCT
cana-6093	262	1	springer	springer	NOUN
cana-6093	262	2	science	science	PROPN
cana-6093	262	3	&	&	CCONJ
cana-6093	262	4	business	business	NOUN
cana-6093	262	5	media	medium	NOUN
cana-6093	262	6	.	.	PUNCT
cana-6093	263	1	34	34	NUM
cana-6093	263	2	.	.	PUNCT
cana-6093	263	3	vogel	vogel	PROPN
cana-6093	263	4	,	,	PUNCT
cana-6093	263	5	c.	c.	PROPN
cana-6093	263	6	r.	r.	PROPN
cana-6093	263	7	(	(	PUNCT
cana-6093	263	8	2002	2002	NUM
cana-6093	263	9	)	)	PUNCT
cana-6093	263	10	.	.	PUNCT
cana-6093	264	1	computational	computational	ADJ
cana-6093	264	2	methods	method	NOUN
cana-6093	264	3	for	for	ADP
cana-6093	264	4	inverse	inverse	NOUN
cana-6093	264	5	problems	problem	NOUN
cana-6093	264	6	.	.	PUNCT
cana-6093	265	1	siam	siam	PROPN
cana-6093	265	2	.	.	PROPN
cana-6093	266	1	35	35	NUM
cana-6093	266	2	.	.	PUNCT
cana-6093	267	1	wang	wang	PROPN
cana-6093	267	2	,	,	PUNCT
cana-6093	267	3	k.	k.	PROPN
cana-6093	267	4	,	,	PUNCT
cana-6093	267	5	gou	gou	PROPN
cana-6093	267	6	,	,	PUNCT
cana-6093	267	7	c.	c.	PROPN
cana-6093	267	8	,	,	PUNCT
cana-6093	267	9	duan	duan	PROPN
cana-6093	267	10	,	,	PUNCT
cana-6093	267	11	y.	y.	PROPN
cana-6093	267	12	,	,	PUNCT
cana-6093	267	13	lin	lin	PROPN
cana-6093	267	14	,	,	PUNCT
cana-6093	267	15	y.	y.	PROPN
cana-6093	267	16	,	,	PUNCT
cana-6093	267	17	zheng	zheng	PROPN
cana-6093	267	18	,	,	PUNCT
cana-6093	267	19	x.	x.	PROPN
cana-6093	267	20	,	,	PUNCT
cana-6093	267	21	&	&	CCONJ
cana-6093	267	22	wang	wang	PROPN
cana-6093	267	23	,	,	PUNCT
cana-6093	267	24	f.	f.	PROPN
cana-6093	267	25	y.	y.	PROPN
cana-6093	267	26	(	(	PUNCT
cana-6093	267	27	2017	2017	NUM
cana-6093	267	28	)	)	PUNCT
cana-6093	267	29	.	.	PUNCT
cana-6093	268	1	generative	generative	ADJ
cana-6093	268	2	adversarial	adversarial	ADJ
cana-6093	268	3	networks	network	NOUN
cana-6093	268	4	:	:	PUNCT
cana-6093	268	5	introduction	introduction	NOUN
cana-6093	268	6	and	and	CCONJ
cana-6093	268	7	outlook	outlook	NOUN
cana-6093	268	8	.	.	PUNCT
cana-6093	269	1	ieee	ieee	PROPN
cana-6093	269	2	/	/	SYM
cana-6093	269	3	caa	caa	PROPN
cana-6093	269	4	journal	journal	PROPN
cana-6093	269	5	of	of	ADP
cana-6093	269	6	automatics	automatics	PROPN
cana-6093	269	7	sinica	sinica	PROPN
cana-6093	269	8	,	,	PUNCT
cana-6093	269	9	*	*	NOUN
cana-6093	269	10	4*(4	4*(4	NUM
cana-6093	269	11	)	)	PUNCT
cana-6093	269	12	,	,	PUNCT
cana-6093	269	13	588	588	NUM
cana-6093	269	14	-	-	SYM
cana-6093	269	15	598	598	NUM
cana-6093	269	16	.	.	NUM
cana-6093	269	17	36	36	NUM
cana-6093	269	18	.	.	X
cana-6093	269	19	mao	mao	PROPN
cana-6093	269	20	,	,	PUNCT
cana-6093	269	21	x.	x.	PROPN
cana-6093	269	22	,	,	PUNCT
cana-6093	269	23	li	li	PROPN
cana-6093	269	24	,	,	PUNCT
cana-6093	269	25	q.	q.	PROPN
cana-6093	269	26	,	,	PUNCT
cana-6093	269	27	xie	xie	PROPN
cana-6093	269	28	,	,	PUNCT
cana-6093	269	29	h.	h.	PROPN
cana-6093	269	30	,	,	PUNCT
cana-6093	269	31	lau	lau	PROPN
cana-6093	269	32	,	,	PUNCT
cana-6093	269	33	r.	r.	PROPN
cana-6093	269	34	y.	y.	PROPN
cana-6093	269	35	,	,	PUNCT
cana-6093	269	36	wang	wang	PROPN
cana-6093	269	37	,	,	PUNCT
cana-6093	269	38	z.	z.	PROPN
cana-6093	269	39	,	,	PUNCT
cana-6093	269	40	&	&	CCONJ
cana-6093	269	41	paul	paul	PROPN
cana-6093	269	42	smolley	smolley	PROPN
cana-6093	269	43	,	,	PUNCT
cana-6093	269	44	s.	s.	PROPN
cana-6093	269	45	(	(	PUNCT
cana-6093	269	46	2017	2017	NUM
cana-6093	269	47	)	)	PUNCT
cana-6093	269	48	.	.	PUNCT
cana-6093	270	1	least	least	ADJ
cana-6093	270	2	squares	square	NOUN
cana-6093	270	3	generative	generative	VERB
cana-6093	270	4	adversarial	adversarial	ADJ
cana-6093	270	5	networks	network	NOUN
cana-6093	270	6	.	.	PUNCT
cana-6093	271	1	proceedings	proceeding	NOUN
cana-6093	271	2	of	of	ADP
cana-6093	271	3	the	the	DET
cana-6093	271	4	ieee	ieee	NOUN
cana-6093	271	5	international	international	PROPN
cana-6093	271	6	conference	conference	NOUN
cana-6093	271	7	on	on	ADP
cana-6093	271	8	computer	computer	NOUN
cana-6093	271	9	vision	vision	NOUN
cana-6093	271	10	(	(	PUNCT
cana-6093	271	11	pp	pp	ADP
cana-6093	271	12	.	.	PUNCT
cana-6093	271	13	27942802	27942802	NUM
cana-6093	271	14	)	)	PUNCT
cana-6093	271	15	.	.	PUNCT
cana-6093	272	1	communications	communication	NOUN
cana-6093	272	2	on	on	ADP
cana-6093	272	3	applied	apply	VERB
cana-6093	272	4	nonlinear	nonlinear	ADJ
cana-6093	272	5	analysis	analysis	NOUN
cana-6093	272	6	issn	issn	NOUN
cana-6093	272	7	:	:	PUNCT
cana-6093	272	8	1074	1074	NUM
cana-6093	272	9	-	-	PUNCT
cana-6093	272	10	133x	133x	NUM
cana-6093	272	11	vol	vol	NOUN
cana-6093	272	12	31	31	NUM
cana-6093	272	13	no	no	NOUN
cana-6093	272	14	.	.	NOUN
cana-6093	272	15	1	1	NUM
cana-6093	272	16	(	(	PUNCT
cana-6093	272	17	2024	2024	NUM
cana-6093	272	18	)	)	PUNCT
cana-6093	272	19	375	375	NUM
cana-6093	272	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-6093	272	21	37	37	NUM
cana-6093	272	22	.	.	PUNCT
cana-6093	273	1	brock	brock	PROPN
cana-6093	273	2	,	,	PUNCT
cana-6093	273	3	a.	a.	PROPN
cana-6093	273	4	,	,	PUNCT
cana-6093	273	5	donahue	donahue	PROPN
cana-6093	273	6	,	,	PUNCT
cana-6093	273	7	j.	j.	PROPN
cana-6093	273	8	,	,	PUNCT
cana-6093	273	9	&	&	CCONJ
cana-6093	273	10	simonyan	simonyan	PROPN
cana-6093	273	11	,	,	PUNCT
cana-6093	273	12	k.	k.	PROPN
cana-6093	273	13	(	(	PUNCT
cana-6093	273	14	2019	2019	NUM
cana-6093	273	15	)	)	PUNCT
cana-6093	273	16	.	.	PUNCT
cana-6093	274	1	large	large	ADJ
cana-6093	274	2	scale	scale	NOUN
cana-6093	274	3	gan	gan	NOUN
cana-6093	274	4	training	training	NOUN
cana-6093	274	5	for	for	ADP
cana-6093	274	6	high	high	ADJ
cana-6093	274	7	fidelity	fidelity	NOUN
cana-6093	274	8	natural	natural	ADJ
cana-6093	274	9	image	image	NOUN
cana-6093	274	10	synthesis	synthesis	NOUN
cana-6093	274	11	.	.	PUNCT
cana-6093	275	1	international	international	ADJ
cana-6093	275	2	conference	conference	NOUN
cana-6093	275	3	on	on	ADP
cana-6093	275	4	learning	learn	VERB
cana-6093	275	5	representations	representation	NOUN
cana-6093	275	6	.	.	PUNCT
cana-6093	276	1	38	38	NUM
cana-6093	276	2	.	.	PUNCT
cana-6093	276	3	karras	karras	PROPN
cana-6093	276	4	,	,	PUNCT
cana-6093	276	5	t.	t.	PROPN
cana-6093	276	6	,	,	PUNCT
cana-6093	276	7	aila	aila	PROPN
cana-6093	276	8	,	,	PUNCT
cana-6093	276	9	t.	t.	PROPN
cana-6093	276	10	,	,	PUNCT
cana-6093	276	11	laine	laine	PROPN
cana-6093	276	12	,	,	PUNCT
cana-6093	276	13	s.	s.	PROPN
cana-6093	276	14	,	,	PUNCT
cana-6093	276	15	&	&	CCONJ
cana-6093	276	16	lehtinen	lehtinen	PROPN
cana-6093	276	17	,	,	PUNCT
cana-6093	276	18	j.	j.	PROPN
cana-6093	276	19	(	(	PUNCT
cana-6093	276	20	2018	2018	NUM
cana-6093	276	21	)	)	PUNCT
cana-6093	276	22	.	.	PUNCT
cana-6093	277	1	progressive	progressive	ADJ
cana-6093	277	2	growing	grow	VERB
cana-6093	277	3	of	of	ADP
cana-6093	277	4	gans	gan	NOUN
cana-6093	277	5	for	for	ADP
cana-6093	277	6	improved	improved	ADJ
cana-6093	277	7	quality	quality	NOUN
cana-6093	277	8	,	,	PUNCT
cana-6093	277	9	stability	stability	NOUN
cana-6093	277	10	,	,	PUNCT
cana-6093	277	11	and	and	CCONJ
cana-6093	277	12	variation	variation	NOUN
cana-6093	277	13	.	.	PUNCT
cana-6093	278	1	international	international	ADJ
cana-6093	278	2	conference	conference	NOUN
cana-6093	278	3	on	on	ADP
cana-6093	278	4	learning	learn	VERB
cana-6093	278	5	representations	representation	NOUN
cana-6093	278	6	.	.	PUNCT
cana-6093	279	1	39	39	NUM
cana-6093	279	2	.	.	PUNCT
cana-6093	280	1	reed	reed	PROPN
cana-6093	280	2	,	,	PUNCT
cana-6093	280	3	s.	s.	PROPN
cana-6093	280	4	,	,	PUNCT
cana-6093	280	5	akata	akata	PROPN
cana-6093	280	6	,	,	PUNCT
cana-6093	280	7	z.	z.	PROPN
cana-6093	280	8	,	,	PUNCT
cana-6093	280	9	yan	yan	PROPN
cana-6093	280	10	,	,	PUNCT
cana-6093	280	11	x.	x.	NOUN
cana-6093	280	12	,	,	PUNCT
cana-6093	280	13	logeswaran	logeswaran	NOUN
cana-6093	280	14	,	,	PUNCT
cana-6093	280	15	l.	l.	PROPN
cana-6093	280	16	,	,	PUNCT
cana-6093	280	17	schiele	schiele	PROPN
cana-6093	280	18	,	,	PUNCT
cana-6093	280	19	b.	b.	PROPN
cana-6093	280	20	,	,	PUNCT
cana-6093	280	21	&	&	CCONJ
cana-6093	280	22	lee	lee	PROPN
cana-6093	280	23	,	,	PUNCT
cana-6093	280	24	h.	h.	PROPN
cana-6093	280	25	(	(	PUNCT
cana-6093	280	26	2016	2016	NUM
cana-6093	280	27	)	)	PUNCT
cana-6093	280	28	.	.	PUNCT
cana-6093	281	1	generative	generative	ADJ
cana-6093	281	2	adversarial	adversarial	ADJ
cana-6093	281	3	text	text	NOUN
cana-6093	281	4	to	to	ADP
cana-6093	281	5	image	image	NOUN
cana-6093	281	6	synthesis	synthesis	NOUN
cana-6093	281	7	.	.	PUNCT
cana-6093	282	1	international	international	ADJ
cana-6093	282	2	conference	conference	NOUN
cana-6093	282	3	on	on	ADP
cana-6093	282	4	machine	machine	NOUN
cana-6093	282	5	learning	learning	NOUN
cana-6093	282	6	(	(	PUNCT
cana-6093	282	7	pp	pp	ADJ
cana-6093	282	8	.	.	PUNCT
cana-6093	283	1	1060	1060	NUM
cana-6093	283	2	-	-	SYM
cana-6093	283	3	1069	1069	NUM
cana-6093	283	4	)	)	PUNCT
cana-6093	283	5	.	.	PUNCT
cana-6093	284	1	40	40	NUM
cana-6093	284	2	.	.	PUNCT
cana-6093	285	1	odena	odena	NOUN
cana-6093	285	2	,	,	PUNCT
cana-6093	285	3	a.	a.	PROPN
cana-6093	285	4	,	,	PUNCT
cana-6093	285	5	olah	olah	PROPN
cana-6093	285	6	,	,	PUNCT
cana-6093	285	7	c.	c.	PROPN
cana-6093	285	8	,	,	PUNCT
cana-6093	285	9	&	&	CCONJ
cana-6093	285	10	shlens	shlens	PROPN
cana-6093	285	11	,	,	PUNCT
cana-6093	285	12	j.	j.	PROPN
cana-6093	285	13	(	(	PUNCT
cana-6093	285	14	2017	2017	NUM
cana-6093	285	15	)	)	PUNCT
cana-6093	285	16	.	.	PUNCT
cana-6093	286	1	conditional	conditional	ADJ
cana-6093	286	2	image	image	NOUN
cana-6093	286	3	synthesis	synthesis	NOUN
cana-6093	286	4	with	with	ADP
cana-6093	286	5	auxiliary	auxiliary	ADJ
cana-6093	286	6	classifier	classifier	NOUN
cana-6093	286	7	gans	gans	PROPN
cana-6093	286	8	.	.	PUNCT
cana-6093	287	1	international	international	ADJ
cana-6093	287	2	conference	conference	NOUN
cana-6093	287	3	on	on	ADP
cana-6093	287	4	machine	machine	NOUN
cana-6093	287	5	learning	learning	NOUN
cana-6093	287	6	(	(	PUNCT
cana-6093	287	7	pp	pp	ADJ
cana-6093	287	8	.	.	PUNCT
cana-6093	288	1	2642	2642	NUM
cana-6093	288	2	-	-	SYM
cana-6093	288	3	2651	2651	NUM
cana-6093	288	4	)	)	PUNCT
cana-6093	288	5	.	.	PUNCT
cana-6093	289	1	41	41	NUM
cana-6093	289	2	.	.	PUNCT
cana-6093	290	1	shah	shah	NOUN
cana-6093	290	2	,	,	PUNCT
cana-6093	290	3	v.	v.	ADV
cana-6093	290	4	,	,	PUNCT
cana-6093	290	5	he	he	PRON
cana-6093	290	6	,	,	PUNCT
cana-6093	290	7	b.	b.	PROPN
cana-6093	290	8	,	,	PUNCT
cana-6093	290	9	huang	huang	PROPN
cana-6093	290	10	,	,	PUNCT
cana-6093	290	11	l.	l.	PROPN
cana-6093	290	12	,	,	PUNCT
cana-6093	290	13	&	&	CCONJ
cana-6093	290	14	shah	shah	PROPN
cana-6093	290	15	,	,	PUNCT
cana-6093	290	16	s.	s.	PROPN
cana-6093	290	17	(	(	PUNCT
cana-6093	290	18	2020	2020	NUM
cana-6093	290	19	)	)	PUNCT
cana-6093	290	20	.	.	PUNCT
cana-6093	291	1	solving	solve	VERB
cana-6093	291	2	inverse	inverse	NOUN
cana-6093	291	3	problems	problem	NOUN
cana-6093	291	4	by	by	ADP
cana-6093	291	5	joint	joint	ADJ
cana-6093	291	6	posterior	posterior	ADJ
cana-6093	291	7	maximization	maximization	NOUN
cana-6093	291	8	with	with	ADP
cana-6093	291	9	autoencoding	autoencode	VERB
cana-6093	291	10	prior	prior	ADV
cana-6093	291	11	.	.	PUNCT
cana-6093	292	1	siam	siam	PROPN
cana-6093	292	2	journal	journal	PROPN
cana-6093	292	3	on	on	ADP
cana-6093	292	4	imaging	imaging	NOUN
cana-6093	292	5	sciences	science	NOUN
cana-6093	292	6	,	,	PUNCT
cana-6093	292	7	*	*	NOUN
cana-6093	292	8	13*(2	13*(2	NUM
cana-6093	292	9	)	)	PUNCT
cana-6093	292	10	,	,	PUNCT
cana-6093	292	11	637	637	NUM
cana-6093	292	12	-	-	SYM
cana-6093	292	13	664	664	NUM
cana-6093	292	14	.	.	X
cana-6093	293	1	42	42	NUM
cana-6093	293	2	.	.	PUNCT
cana-6093	294	1	adler	adler	PROPN
cana-6093	294	2	,	,	PUNCT
cana-6093	294	3	j.	j.	PROPN
cana-6093	294	4	,	,	PUNCT
cana-6093	294	5	lunz	lunz	PROPN
cana-6093	294	6	,	,	PUNCT
cana-6093	294	7	s.	s.	PROPN
cana-6093	294	8	,	,	PUNCT
cana-6093	294	9	verdier	verdier	NOUN
cana-6093	294	10	,	,	PUNCT
cana-6093	294	11	o.	o.	PROPN
cana-6093	294	12	,	,	PUNCT
cana-6093	294	13	schönlieb	schönlieb	PROPN
cana-6093	294	14	,	,	PUNCT
cana-6093	294	15	c.	c.	PROPN
cana-6093	294	16	b.	b.	PROPN
cana-6093	294	17	,	,	PUNCT
cana-6093	294	18	&	&	CCONJ
cana-6093	294	19	öktem	öktem	PROPN
cana-6093	294	20	,	,	PUNCT
cana-6093	294	21	o.	o.	PROPN
cana-6093	294	22	(	(	PUNCT
cana-6093	294	23	2020	2020	NUM
cana-6093	294	24	)	)	PUNCT
cana-6093	294	25	.	.	PUNCT
cana-6093	295	1	task	task	NOUN
cana-6093	295	2	-	-	PUNCT
cana-6093	295	3	adapted	adapt	VERB
cana-6093	295	4	reconstruction	reconstruction	NOUN
cana-6093	295	5	for	for	ADP
cana-6093	295	6	inverse	inverse	NOUN
cana-6093	295	7	problems	problem	NOUN
cana-6093	295	8	.	.	PUNCT
cana-6093	296	1	inverse	inverse	NOUN
cana-6093	296	2	problems	problem	NOUN
cana-6093	296	3	,	,	PUNCT
cana-6093	296	4	*	*	NOUN
cana-6093	296	5	36*(12	36*(12	NUM
cana-6093	296	6	)	)	PUNCT
cana-6093	296	7	,	,	PUNCT
cana-6093	296	8	125010	125010	NUM
cana-6093	296	9	.	.	PUNCT
cana-6093	297	1	43	43	NUM
cana-6093	297	2	.	.	PUNCT
cana-6093	298	1	li	li	PROPN
cana-6093	298	2	,	,	PUNCT
cana-6093	298	3	c.	c.	PROPN
cana-6093	298	4	l.	l.	PROPN
cana-6093	298	5	,	,	PUNCT
cana-6093	298	6	chang	chang	PROPN
cana-6093	298	7	,	,	PUNCT
cana-6093	298	8	w.	w.	PROPN
cana-6093	298	9	c.	c.	PROPN
cana-6093	298	10	,	,	PUNCT
cana-6093	298	11	cheng	cheng	PROPN
cana-6093	298	12	,	,	PUNCT
cana-6093	298	13	y.	y.	PROPN
cana-6093	298	14	,	,	PUNCT
cana-6093	298	15	yang	yang	PROPN
cana-6093	298	16	,	,	PUNCT
cana-6093	298	17	y.	y.	PROPN
cana-6093	298	18	,	,	PUNCT
cana-6093	298	19	&	&	CCONJ
cana-6093	298	20	póczos	póczos	PROPN
cana-6093	298	21	,	,	PUNCT
cana-6093	298	22	b.	b.	PROPN
cana-6093	298	23	(	(	PUNCT
cana-6093	298	24	2017	2017	NUM
cana-6093	298	25	)	)	PUNCT
cana-6093	298	26	.	.	PUNCT
cana-6093	299	1	mmd	mmd	PROPN
cana-6093	299	2	gan	gan	PROPN
cana-6093	299	3	:	:	PUNCT
cana-6093	299	4	towards	towards	ADP
cana-6093	299	5	deeper	deep	ADJ
cana-6093	299	6	understanding	understanding	NOUN
cana-6093	299	7	of	of	ADP
cana-6093	299	8	moment	moment	NOUN
cana-6093	299	9	matching	matching	NOUN
cana-6093	299	10	network	network	NOUN
cana-6093	299	11	.	.	PUNCT
cana-6093	300	1	advances	advance	NOUN
cana-6093	300	2	in	in	ADP
cana-6093	300	3	neural	neural	ADJ
cana-6093	300	4	information	information	NOUN
cana-6093	300	5	processing	processing	NOUN
cana-6093	300	6	systems	system	NOUN
cana-6093	300	7	,	,	PUNCT
cana-6093	300	8	*	*	NOUN
cana-6093	300	9	30	30	NUM
cana-6093	300	10	*	*	NUM
cana-6093	300	11	.	.	PROPN
cana-6093	301	1	44	44	NUM
cana-6093	301	2	.	.	PUNCT
cana-6093	302	1	metzler	metzler	PROPN
cana-6093	302	2	,	,	PUNCT
cana-6093	302	3	c.	c.	PROPN
cana-6093	302	4	a.	a.	PROPN
cana-6093	302	5	,	,	PUNCT
cana-6093	302	6	mousavi	mousavi	PROPN
cana-6093	302	7	,	,	PUNCT
cana-6093	302	8	a.	a.	NOUN
cana-6093	302	9	,	,	PUNCT
cana-6093	302	10	&	&	CCONJ
cana-6093	302	11	baraniuk	baraniuk	PRON
cana-6093	302	12	,	,	PUNCT
cana-6093	302	13	r.	r.	PROPN
cana-6093	302	14	g.	g.	PROPN
cana-6093	302	15	(	(	PUNCT
cana-6093	302	16	2018	2018	NUM
cana-6093	302	17	)	)	PUNCT
cana-6093	302	18	.	.	PUNCT
cana-6093	303	1	learned	learn	VERB
cana-6093	303	2	d	d	X
cana-6093	303	3	-	-	PUNCT
cana-6093	303	4	amp	amp	NOUN
cana-6093	303	5	:	:	PUNCT
cana-6093	303	6	principled	principled	ADJ
cana-6093	303	7	neural	neural	ADJ
cana-6093	303	8	network	network	NOUN
cana-6093	303	9	based	base	VERB
cana-6093	303	10	compressive	compressive	ADJ
cana-6093	303	11	image	image	NOUN
cana-6093	303	12	recovery	recovery	NOUN
cana-6093	303	13	.	.	PUNCT
cana-6093	304	1	advances	advance	NOUN
cana-6093	304	2	in	in	ADP
cana-6093	304	3	neural	neural	ADJ
cana-6093	304	4	information	information	NOUN
cana-6093	304	5	processing	processing	NOUN
cana-6093	304	6	systems	system	NOUN
cana-6093	304	7	,	,	PUNCT
cana-6093	304	8	*	*	PUNCT
cana-6093	304	9	31	31	NUM
cana-6093	304	10	*	*	NUM
cana-6093	304	11	.	.	PUNCT
cana-6093	305	1	45	45	NUM
cana-6093	305	2	.	.	NOUN
cana-6093	305	3	raissi	raissi	ADJ
cana-6093	305	4	,	,	PUNCT
cana-6093	305	5	m.	m.	NOUN
cana-6093	305	6	,	,	PUNCT
cana-6093	305	7	perdikaris	perdikaris	NOUN
cana-6093	305	8	,	,	PUNCT
cana-6093	305	9	p.	p.	NOUN
cana-6093	305	10	,	,	PUNCT
cana-6093	305	11	&	&	CCONJ
cana-6093	305	12	karniadakis	karniadakis	PROPN
cana-6093	305	13	,	,	PUNCT
cana-6093	305	14	g.	g.	PROPN
cana-6093	305	15	e.	e.	PROPN
cana-6093	305	16	(	(	PUNCT
cana-6093	305	17	2019	2019	NUM
cana-6093	305	18	)	)	PUNCT
cana-6093	305	19	.	.	PUNCT
cana-6093	306	1	physics	physics	NOUN
cana-6093	306	2	-	-	PUNCT
cana-6093	306	3	informed	inform	VERB
cana-6093	306	4	neural	neural	ADJ
cana-6093	306	5	networks	network	NOUN
cana-6093	306	6	:	:	PUNCT
cana-6093	306	7	a	a	DET
cana-6093	306	8	deep	deep	ADJ
cana-6093	306	9	learning	learning	NOUN
cana-6093	306	10	framework	framework	NOUN
cana-6093	306	11	for	for	ADP
cana-6093	306	12	solving	solve	VERB
cana-6093	306	13	forward	forward	ADV
cana-6093	306	14	and	and	CCONJ
cana-6093	306	15	inverse	inverse	NOUN
cana-6093	306	16	problems	problem	NOUN
cana-6093	306	17	involving	involve	VERB
cana-6093	306	18	nonlinear	nonlinear	ADJ
cana-6093	306	19	partial	partial	ADJ
cana-6093	306	20	differential	differential	NOUN
cana-6093	306	21	equations	equation	NOUN
cana-6093	306	22	.	.	PUNCT
cana-6093	307	1	journal	journal	NOUN
cana-6093	307	2	of	of	ADP
cana-6093	307	3	computational	computational	ADJ
cana-6093	307	4	physics	physic	NOUN
cana-6093	307	5	,	,	PUNCT
cana-6093	307	6	*	*	SYM
cana-6093	307	7	378	378	NUM
cana-6093	307	8	*	*	NOUN
cana-6093	307	9	,	,	PUNCT
cana-6093	307	10	686	686	NUM
cana-6093	307	11	-	-	SYM
cana-6093	307	12	707	707	NUM
cana-6093	307	13	.	.	PUNCT
cana-6093	308	1	46	46	NUM
cana-6093	308	2	.	.	PUNCT
cana-6093	308	3	yang	yang	PROPN
cana-6093	308	4	,	,	PUNCT
cana-6093	308	5	d.	d.	PROPN
cana-6093	308	6	,	,	PUNCT
cana-6093	308	7	hong	hong	PROPN
cana-6093	308	8	,	,	PUNCT
cana-6093	308	9	s.	s.	PROPN
cana-6093	308	10	,	,	PUNCT
cana-6093	308	11	jang	jang	PROPN
cana-6093	308	12	,	,	PUNCT
cana-6093	308	13	y.	y.	PROPN
cana-6093	308	14	,	,	PUNCT
cana-6093	308	15	zhao	zhao	PROPN
cana-6093	308	16	,	,	PUNCT
cana-6093	308	17	t.	t.	PROPN
cana-6093	308	18	,	,	PUNCT
cana-6093	308	19	&	&	CCONJ
cana-6093	308	20	lee	lee	PROPN
cana-6093	308	21	,	,	PUNCT
cana-6093	308	22	h.	h.	PROPN
cana-6093	308	23	(	(	PUNCT
cana-6093	308	24	2019	2019	NUM
cana-6093	308	25	)	)	PUNCT
cana-6093	308	26	.	.	PUNCT
cana-6093	309	1	diversity	diversity	NOUN
cana-6093	309	2	-	-	PUNCT
cana-6093	309	3	sensitive	sensitive	ADJ
cana-6093	309	4	conditional	conditional	ADJ
cana-6093	309	5	generative	generative	ADJ
cana-6093	309	6	adversarial	adversarial	ADJ
cana-6093	309	7	networks	network	NOUN
cana-6093	309	8	.	.	PUNCT
cana-6093	310	1	international	international	ADJ
cana-6093	310	2	conference	conference	NOUN
cana-6093	310	3	on	on	ADP
cana-6093	310	4	learning	learn	VERB
cana-6093	310	5	representations	representation	NOUN
cana-6093	310	6	.	.	PUNCT
cana-6093	311	1	47	47	NUM
cana-6093	311	2	.	.	X
cana-6093	312	1	zhang	zhang	PROPN
cana-6093	312	2	,	,	PUNCT
cana-6093	312	3	h.	h.	PROPN
cana-6093	312	4	,	,	PUNCT
cana-6093	312	5	goodfellow	goodfellow	PROPN
cana-6093	312	6	,	,	PUNCT
cana-6093	312	7	i.	i.	PROPN
cana-6093	312	8	,	,	PUNCT
cana-6093	312	9	metaxas	metaxas	PROPN
cana-6093	312	10	,	,	PUNCT
cana-6093	312	11	d.	d.	PROPN
cana-6093	312	12	,	,	PUNCT
cana-6093	312	13	&	&	CCONJ
cana-6093	312	14	odena	odena	PROPN
cana-6093	312	15	,	,	PUNCT
cana-6093	312	16	a.	a.	NOUN
cana-6093	312	17	(	(	PUNCT
cana-6093	312	18	2019	2019	NUM
cana-6093	312	19	)	)	PUNCT
cana-6093	312	20	.	.	PUNCT
cana-6093	313	1	self	self	NOUN
cana-6093	313	2	-	-	PUNCT
cana-6093	313	3	attention	attention	NOUN
cana-6093	313	4	generative	generative	ADJ
cana-6093	313	5	adversarial	adversarial	ADJ
cana-6093	313	6	networks	network	NOUN
cana-6093	313	7	.	.	PUNCT
cana-6093	314	1	international	international	ADJ
cana-6093	314	2	conference	conference	NOUN
cana-6093	314	3	on	on	ADP
cana-6093	314	4	machine	machine	NOUN
cana-6093	314	5	learning	learning	NOUN
cana-6093	314	6	(	(	PUNCT
cana-6093	314	7	pp	pp	ADJ
cana-6093	314	8	.	.	PUNCT
cana-6093	315	1	7354	7354	NUM
cana-6093	315	2	-	-	SYM
cana-6093	315	3	7363	7363	NUM
cana-6093	315	4	)	)	PUNCT
cana-6093	315	5	.	.	PUNCT
cana-6093	316	1	48	48	NUM
cana-6093	316	2	.	.	PUNCT
cana-6093	317	1	zhu	zhu	PROPN
cana-6093	317	2	,	,	PUNCT
cana-6093	317	3	j.	j.	PROPN
cana-6093	317	4	y.	y.	PROPN
cana-6093	317	5	,	,	PUNCT
cana-6093	317	6	zhang	zhang	PROPN
cana-6093	317	7	,	,	PUNCT
cana-6093	317	8	r.	r.	PROPN
cana-6093	317	9	,	,	PUNCT
cana-6093	317	10	pathak	pathak	PROPN
cana-6093	317	11	,	,	PUNCT
cana-6093	317	12	d.	d.	PROPN
cana-6093	317	13	,	,	PUNCT
cana-6093	317	14	darrell	darrell	PROPN
cana-6093	317	15	,	,	PUNCT
cana-6093	317	16	t.	t.	PROPN
cana-6093	317	17	,	,	PUNCT
cana-6093	317	18	efros	efros	PROPN
cana-6093	317	19	,	,	PUNCT
cana-6093	317	20	a.	a.	NOUN
cana-6093	317	21	a.	a.	PROPN
cana-6093	317	22	,	,	PUNCT
cana-6093	317	23	wang	wang	PROPN
cana-6093	317	24	,	,	PUNCT
cana-6093	317	25	o.	o.	PROPN
cana-6093	317	26	,	,	PUNCT
cana-6093	317	27	&	&	CCONJ
cana-6093	317	28	shechtman	shechtman	PROPN
cana-6093	317	29	,	,	PUNCT
cana-6093	317	30	e.	e.	PROPN
cana-6093	317	31	(	(	PUNCT
cana-6093	317	32	2017	2017	NUM
cana-6093	317	33	)	)	PUNCT
cana-6093	317	34	.	.	PUNCT
cana-6093	318	1	toward	toward	ADP
cana-6093	318	2	multimodal	multimodal	ADJ
cana-6093	318	3	image	image	NOUN
cana-6093	318	4	-	-	PUNCT
cana-6093	318	5	to	to	ADP
cana-6093	318	6	-	-	PUNCT
cana-6093	318	7	image	image	NOUN
cana-6093	318	8	translation	translation	NOUN
cana-6093	318	9	.	.	PUNCT
cana-6093	319	1	advances	advance	NOUN
cana-6093	319	2	in	in	ADP
cana-6093	319	3	neural	neural	ADJ
cana-6093	319	4	information	information	NOUN
cana-6093	319	5	processing	processing	NOUN
cana-6093	319	6	systems	system	NOUN
cana-6093	319	7	.	.	PUNCT