{"id":"https://openalex.org/W7138044685","doi":"https://doi.org/10.1609/aaai.v40i29.39613","title":"Loss-Guided Auxiliary Agents for Overcoming Mode Collapse in GFlowNets","display_name":"Loss-Guided Auxiliary Agents for Overcoming Mode Collapse in GFlowNets","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7138044685","doi":"https://doi.org/10.1609/aaai.v40i29.39613"},"language":null,"primary_location":{"id":"doi:10.1609/aaai.v40i29.39613","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i29.39613","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1609/aaai.v40i29.39613","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129743368","display_name":"Idriss Malek","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113480","display_name":"Mohamed bin Zayed University of Artificial Intelligence","ror":"https://ror.org/0258gkt32","country_code":"AE","type":"education","lineage":["https://openalex.org/I4210113480"]}],"countries":["AE"],"is_corresponding":true,"raw_author_name":"Idriss Malek","raw_affiliation_strings":["Mohamed bin Zayed University of Artificial Intelligence"],"affiliations":[{"raw_affiliation_string":"Mohamed bin Zayed University of Artificial Intelligence","institution_ids":["https://openalex.org/I4210113480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119910389","display_name":"Aya Laajil","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113480","display_name":"Mohamed bin Zayed University of Artificial Intelligence","ror":"https://ror.org/0258gkt32","country_code":"AE","type":"education","lineage":["https://openalex.org/I4210113480"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Aya Laajil","raw_affiliation_strings":["Mohamed bin Zayed University of Artificial Intelligence"],"affiliations":[{"raw_affiliation_string":"Mohamed bin Zayed University of Artificial Intelligence","institution_ids":["https://openalex.org/I4210113480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078916246","display_name":"Abhijith Sharma","orcid":"https://orcid.org/0000-0002-4592-2928"},"institutions":[{"id":"https://openalex.org/I4210113480","display_name":"Mohamed bin Zayed University of Artificial Intelligence","ror":"https://ror.org/0258gkt32","country_code":"AE","type":"education","lineage":["https://openalex.org/I4210113480"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Abhijith Sharma","raw_affiliation_strings":["Mohamed bin Zayed University of Artificial Intelligence"],"affiliations":[{"raw_affiliation_string":"Mohamed bin Zayed University of Artificial Intelligence","institution_ids":["https://openalex.org/I4210113480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129693993","display_name":"Eric Moulines","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113480","display_name":"Mohamed bin Zayed University of Artificial Intelligence","ror":"https://ror.org/0258gkt32","country_code":"AE","type":"education","lineage":["https://openalex.org/I4210113480"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Eric Moulines","raw_affiliation_strings":["Mohamed bin Zayed University of Artificial Intelligence"],"affiliations":[{"raw_affiliation_string":"Mohamed bin Zayed University of Artificial Intelligence","institution_ids":["https://openalex.org/I4210113480"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5129715886","display_name":"Salem Lahlou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113480","display_name":"Mohamed bin Zayed University of Artificial Intelligence","ror":"https://ror.org/0258gkt32","country_code":"AE","type":"education","lineage":["https://openalex.org/I4210113480"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Salem Lahlou","raw_affiliation_strings":["Mohamed bin Zayed University of Artificial Intelligence"],"affiliations":[{"raw_affiliation_string":"Mohamed bin Zayed University of Artificial Intelligence","institution_ids":["https://openalex.org/I4210113480"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5129743368"],"corresponding_institution_ids":["https://openalex.org/I4210113480"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.3358209,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"29","first_page":"24326","last_page":"24334"},"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":0.3447999954223633,"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":0.3447999954223633,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.14270000159740448,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.050700001418590546,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.718500018119812},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6072999835014343},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5817999839782715},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.579800009727478},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.5084999799728394},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.46880000829696655},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.45010000467300415}],"concepts":[{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.718500018119812},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6488999724388123},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6072999835014343},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5817999839782715},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.579800009727478},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.5084999799728394},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.46880000829696655},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.45010000467300415},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.42669999599456787},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.4235000014305115},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40529999136924744},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40529999136924744},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4032999873161316},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.375},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3467000126838684},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34310001134872437},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.2903999984264374},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.2874000072479248}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1609/aaai.v40i29.39613","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i29.39613","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v40i29.39613","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i29.39613","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Although":[0],"Generative":[1],"Flow":[2],"Networks":[3],"(GFlowNets)":[4],"are":[5],"designed":[6],"to":[7,32],"capture":[8],"multiple":[9],"modes":[10,27,142],"of":[11,84,95],"a":[12,50,129],"reward":[13],"function,":[14],"they":[15],"often":[16,39],"suffer":[17],"from":[18],"mode":[19],"collapse":[20],"in":[21,25,120],"practice,":[22],"getting":[23],"trapped":[24],"early-discovered":[26],"and":[28,112,123],"requiring":[29],"prolonged":[30],"training":[31,65],"find":[33],"diverse":[34,101],"solutions.":[35],"Existing":[36],"exploration":[37,57,90,121,147],"techniques":[38],"rely":[40],"on":[41,80,128],"heuristic":[42],"novelty":[43],"signals.":[44],"We":[45],"propose":[46],"Loss-Guided":[47],"GFlowNets":[48],"(LGGFN),":[49],"novel":[51],"approach":[52],"where":[53,70],"an":[54],"auxiliary":[55],"GFlowNet's":[56,64],"is":[58],"directly":[59],"driven":[60],"by":[61,150],"the":[62,71,85,93,146],"main":[63,72],"loss.":[66],"By":[67],"prioritizing":[68],"trajectories":[69],"model":[73],"exhibits":[74],"high":[75],"loss,":[76],"LGGFN":[77,116],"focuses":[78],"sampling":[79],"poorly":[81],"understood":[82],"regions":[83],"state":[86],"space.":[87],"This":[88],"targeted":[89],"significantly":[91],"accelerates":[92],"discovery":[94],"diverse,":[96],"high-reward":[97],"samples.":[98],"Empirically,":[99],"across":[100],"benchmarks":[102],"including":[103],"grid":[104],"environments,":[105],"structured":[106],"sequence":[107,114,131],"generation,":[108],"Bayesian":[109],"structure":[110],"learning,":[111],"biological":[113],"design,":[115],"consistently":[117],"outperforms":[118],"baselines":[119],"efficiency":[122],"sample":[124],"diversity.":[125],"For":[126],"instance,":[127],"challenging":[130],"generation":[132],"task,":[133],"it":[134],"discovered":[135],"over":[136],"40":[137],"times":[138],"more":[139],"unique":[140],"valid":[141],"while":[143],"simultaneously":[144],"reducing":[145],"error":[148],"metric":[149],"approximately":[151],"99%.":[152]},"counts_by_year":[],"updated_date":"2026-03-20T20:47:17.329874","created_date":"2026-03-18T00:00:00"}
