{"id":"https://openalex.org/W4378501673","doi":"https://doi.org/10.48550/arxiv.2305.16150","title":"Unifying GANs and Score-Based Diffusion as Generative Particle Models","display_name":"Unifying GANs and Score-Based Diffusion as Generative Particle Models","publication_year":2023,"publication_date":"2023-05-25","ids":{"openalex":"https://openalex.org/W4378501673","doi":"https://doi.org/10.48550/arxiv.2305.16150"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2305.16150","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2305.16150","pdf_url":"https://arxiv.org/pdf/2305.16150","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2305.16150","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023242895","display_name":"Jean-Yves Franceschi","orcid":"https://orcid.org/0000-0003-3631-5349","observed_orcids":["https://orcid.org/0000-0003-3631-5349"]},"institutions":[{"id":"https://openalex.org/I4210161401","display_name":"Criteo (France)","ror":"https://ror.org/04vyg0r47","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210161401"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Franceschi, Jean-Yves","raw_affiliation_strings":["Criteo AI Lab , Paris , France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Criteo AI Lab , Paris , France","institution_ids":["https://openalex.org/I4210161401"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063218624","display_name":"Mike Gartrell","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210161401","display_name":"Criteo (France)","ror":"https://ror.org/04vyg0r47","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210161401"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Gartrell, Mike","raw_affiliation_strings":["Criteo AI Lab , Paris , France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Criteo AI Lab , Paris , France","institution_ids":["https://openalex.org/I4210161401"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011094173","display_name":"Ludovic Dos Santos","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Santos, Ludovic Dos","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008216150","display_name":"Thibaut Issenhuth","orcid":"https://orcid.org/0000-0002-0993-4366","observed_orcids":["https://orcid.org/0000-0002-0993-4366"]},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210152518","display_name":"Laboratoire d'Informatique Gaspard-Monge","ror":"https://ror.org/04t50yk91","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I142631665","https://openalex.org/I2800365227","https://openalex.org/I4210145102","https://openalex.org/I4210152518","https://openalex.org/I4210154111","https://openalex.org/I4210159245"]},{"id":"https://openalex.org/I4210154111","display_name":"Universit\u00e9 Gustave Eiffel","ror":"https://ror.org/03x42jk29","country_code":"FR","type":"education","lineage":["https://openalex.org/I2800365227","https://openalex.org/I4210154111"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Issenhuth, Thibaut","raw_affiliation_strings":["CNRS , Marne-la-Vall\u00e9e , France","LIGM , Ecole des Ponts , Univ Gustave Eiffel ,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS , Marne-la-Vall\u00e9e , France","institution_ids":["https://openalex.org/I1294671590"]},{"raw_affiliation_string":"LIGM , Ecole des Ponts , Univ Gustave Eiffel ,","institution_ids":["https://openalex.org/I4210152518","https://openalex.org/I4210154111"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063143302","display_name":"Emmanuel de B\u00e9zenac","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"de B\u00e9zenac, Emmanuel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058389247","display_name":"Micka\u00ebl Chen","orcid":"https://orcid.org/0000-0002-3960-2389","observed_orcids":["https://orcid.org/0000-0002-3960-2389"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Micka\u00ebl","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5031137438","display_name":"Alain Rakotomamonjy","orcid":"https://orcid.org/0000-0002-4210-7792","observed_orcids":["https://orcid.org/0000-0002-4210-7792"]},"institutions":[{"id":"https://openalex.org/I4210161401","display_name":"Criteo (France)","ror":"https://ror.org/04vyg0r47","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210161401"]},{"id":"https://openalex.org/I4405253140","display_name":"Seminar for Applied Mathematics","ror":"https://ror.org/00bfrk915","country_code":"CH","type":"facility","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088","https://openalex.org/I4405253140"]}],"countries":["CH","FR"],"is_corresponding":false,"raw_author_name":"Rakotomamonjy, Alain","raw_affiliation_strings":["Criteo AI Lab , Paris , France","Seminar for Applied Mathematics ,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Criteo AI Lab , Paris , France","institution_ids":["https://openalex.org/I4210161401"]},{"raw_affiliation_string":"Seminar for Applied Mathematics ,","institution_ids":["https://openalex.org/I4405253140"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"36","issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.002899999963119626,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.0010000000474974513,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/score-based-diffusion-models","display_name":"score-based diffusion models","score":0.8460000157356262},{"id":"https://openalex.org/keywords/generative-adversarial-networks","display_name":"generative adversarial networks","score":0.9800000190734863},{"id":"https://openalex.org/keywords/gradient-flow","display_name":"gradient flow","score":0.6959999799728394}],"concepts":[{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.7876851558685303},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6480768918991089},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.6221928000450134},{"id":"https://openalex.org/C108710211","wikidata":"https://www.wikidata.org/wiki/Q11538","display_name":"Mathematical proof","level":2,"score":0.5364267230033875},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.49776533246040344},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.48449060320854187},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4730600118637085},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3885725140571594},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20259520411491394},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10600784420967102},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.06679743528366089},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"pmh:oai:arXiv.org:2305.16150","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2305.16150","pdf_url":"https://arxiv.org/pdf/2305.16150","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:HAL:hal-04107806v1","doi":null,"is_oa":true,"landing_page_url":"https://hal.science/hal-04107806v1","pdf_url":"https://hal.science/hal-04107806/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405252976","host_organization_name":"Centre pour la Communication Scientifique Directe","host_organization_lineage":["https://openalex.org/I4405252976"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://hal.science/hal-04107806","raw_type":"info:eu-repo/semantics/preprint"},{"id":"pmh:oai:HAL:hal-04107806v2","doi":null,"is_oa":true,"landing_page_url":"https://hal.science/hal-04107806v2","pdf_url":"https://hal.science/hal-04107806v2/file/gpm.pdf","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405252976","host_organization_name":"Centre pour la Communication Scientifique Directe","host_organization_lineage":["https://openalex.org/I4405252976"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Advances in Neural Information Processing Systems","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:HAL:hal-04107806v3","doi":null,"is_oa":true,"landing_page_url":"https://hal.science/hal-04107806v3","pdf_url":"https://hal.science/hal-04107806v3/file/gpm.pdf","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405252976","host_organization_name":"Centre pour la Communication Scientifique Directe","host_organization_lineage":["https://openalex.org/I4405252976"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://neurips.cc/Conferences/2023","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:HAL:hal-04322365v1","doi":null,"is_oa":true,"landing_page_url":"https://hal.science/hal-04322365v1","pdf_url":"https://hal.science/hal-04322365/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405252976","host_organization_name":"Centre pour la Communication Scientifique Directe","host_organization_lineage":["https://openalex.org/I4405252976"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://neurips.cc/Conferences/2023","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"doi:10.48550/arxiv.2305.16150","doi":"https://doi.org/10.48550/arxiv.2305.16150","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2305.16150","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2305.16150","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2305.16150","pdf_url":"https://arxiv.org/pdf/2305.16150","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320326256","display_name":"Grand \u00c9quipement National De Calcul Intensif","ror":"https://ror.org/0010d1q40"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4378501673.pdf","grobid_xml":"https://content.openalex.org/works/W4378501673.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W2259558022","https://openalex.org/W2577946330","https://openalex.org/W2787608555","https://openalex.org/W2899663614","https://openalex.org/W3014991556","https://openalex.org/W4281847696","https://openalex.org/W4303440777","https://openalex.org/W4304701519","https://openalex.org/W4385976136","https://openalex.org/W4387377716","https://openalex.org/W4394668580"],"related_works":["https://openalex.org/W7222931886","https://openalex.org/W4383472963","https://openalex.org/W4394824082","https://openalex.org/W7204694475","https://openalex.org/W6969542029","https://openalex.org/W4396912994","https://openalex.org/W7213967862","https://openalex.org/W7214977431","https://openalex.org/W4387377716","https://openalex.org/W4387559133"],"abstract_inverted_index":{"Particle-based":[0],"deep":[1],"generative":[2,39,67,91],"models,":[3,11],"such":[4,90],"as":[5,33,73,123],"gradient":[6],"flows":[7],"and":[8,57,65,102],"score-based":[9,99],"diffusion":[10,100],"have":[12],"recently":[13],"gained":[14],"traction":[15],"thanks":[16],"to":[17,35,88],"their":[18],"striking":[19],"performance.":[20],"Their":[21],"principle":[22],"of":[23,76,119,125,127,130],"displacing":[24],"particle":[25,64,77],"distributions":[26],"using":[27],"differential":[28],"equations":[29],"is":[30,84],"conventionally":[31],"seen":[32],"opposed":[34],"the":[36,117],"previously":[37],"widespread":[38],"adversarial":[40,66],"networks":[41],"(GANs),":[42],"which":[43],"involve":[44],"training":[45,72,103],"a":[46,59,74,82,95,98,104,107],"pushforward":[47],"generator":[48,71,83,96,108],"network.":[49],"In":[50],"this":[51,55],"paper":[52],"we":[53],"challenge":[54],"interpretation,":[56],"propose":[58],"novel":[60],"framework":[61],"that":[62,81],"unifies":[63],"models":[68,122],"by":[69],"framing":[70],"generalization":[75],"models.":[78],"This":[79],"suggests":[80],"an":[85],"optional":[86],"addition":[87],"any":[89],"model.":[92],"Consequently,":[93],"integrating":[94],"into":[97],"model":[101],"GAN":[105],"without":[106],"naturally":[109],"emerge":[110],"from":[111],"our":[112,131],"framework.":[113,132],"We":[114],"empirically":[115],"test":[116],"viability":[118],"these":[120],"original":[121],"proofs":[124],"concepts":[126],"potential":[128],"applications":[129]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2025-10-10T00:00:00"}
