{"id":"https://openalex.org/W3149878104","doi":"https://doi.org/10.24963/ijcai.2022/679","title":"DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework","display_name":"DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework","publication_year":2022,"publication_date":"2022-07-01","ids":{"openalex":"https://openalex.org/W3149878104","doi":"https://doi.org/10.24963/ijcai.2022/679","mag":"3149878104"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2022/679","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/679","pdf_url":"https://www.ijcai.org/proceedings/2022/0679.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.ijcai.org/proceedings/2022/0679.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100460139","display_name":"Chao Zhang","orcid":"https://orcid.org/0000-0002-1018-4144"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Zhang","raw_affiliation_strings":["Alibaba-Zhejiang University Joint Research Institute of Frontier Technologies","College of Computer Science and Technology, Zhejiang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba-Zhejiang University Joint Research Institute of Frontier Technologies","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100415193","display_name":"Zhijian Li","orcid":"https://orcid.org/0000-0002-1523-1333"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhijian Li","raw_affiliation_strings":["Information Science and Electronic Engineering, Zhejiang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Science and Electronic Engineering, Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101820227","display_name":"Xin Du","orcid":"https://orcid.org/0000-0003-1108-0248"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Du","raw_affiliation_strings":["Information Science and Electronic Engineering, Zhejiang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Science and Electronic Engineering, Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101960127","display_name":"Hui Qian","orcid":"https://orcid.org/0000-0003-2410-339X"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Qian","raw_affiliation_strings":["Alibaba-Zhejiang University Joint Research Institute of Frontier Technologies","College of Computer Science and Technology, Zhejiang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba-Zhejiang University Joint Research Institute of Frontier Technologies","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University","institution_ids":["https://openalex.org/I168879160"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4900","last_page":"4906"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9926999807357788,"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"}},"topics":[{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9926999807357788,"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/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9878000020980835,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7050741910934448},{"id":"https://openalex.org/keywords/limit","display_name":"Limit (mathematics)","score":0.5044418573379517},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.48973727226257324},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.48408710956573486},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.4774651825428009},{"id":"https://openalex.org/keywords/particle","display_name":"Particle (ecology)","score":0.4533502459526062},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.42215657234191895},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4050007462501526},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3984677195549011},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3838801383972168},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1646406352519989},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.12596559524536133},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07750818133354187}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7050741910934448},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.5044418573379517},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.48973727226257324},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.48408710956573486},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.4774651825428009},{"id":"https://openalex.org/C2778517922","wikidata":"https://www.wikidata.org/wiki/Q7140482","display_name":"Particle (ecology)","level":2,"score":0.4533502459526062},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.42215657234191895},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4050007462501526},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3984677195549011},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3838801383972168},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1646406352519989},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.12596559524536133},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07750818133354187},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2022/679","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/679","pdf_url":"https://www.ijcai.org/proceedings/2022/0679.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2022/679","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/679","pdf_url":"https://www.ijcai.org/proceedings/2022/0679.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5028231298","display_name":null,"funder_award_id":"61672376","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5691541354","display_name":null,"funder_award_id":"LZ18F020002","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G6605900608","display_name":null,"funder_award_id":"61751209","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8036107462","display_name":null,"funder_award_id":"2020AAA0107400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8220011130","display_name":null,"funder_award_id":"61472347","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322927","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3149878104.pdf","grobid_xml":"https://content.openalex.org/works/W3149878104.grobid-xml"},"referenced_works_count":59,"referenced_works":["https://openalex.org/W299440670","https://openalex.org/W621546036","https://openalex.org/W1502922572","https://openalex.org/W1503185336","https://openalex.org/W1522579744","https://openalex.org/W1524172054","https://openalex.org/W1974169660","https://openalex.org/W1989955731","https://openalex.org/W2038943544","https://openalex.org/W2042322087","https://openalex.org/W2050969847","https://openalex.org/W2071048859","https://openalex.org/W2074043571","https://openalex.org/W2099471712","https://openalex.org/W2112796928","https://openalex.org/W2123659014","https://openalex.org/W2144343387","https://openalex.org/W2145936352","https://openalex.org/W2146022760","https://openalex.org/W2194321275","https://openalex.org/W2273818272","https://openalex.org/W2285154582","https://openalex.org/W2320259161","https://openalex.org/W2441221256","https://openalex.org/W2511837229","https://openalex.org/W2610139381","https://openalex.org/W2750384547","https://openalex.org/W2774375181","https://openalex.org/W2785731816","https://openalex.org/W2795119969","https://openalex.org/W2801457018","https://openalex.org/W2806584432","https://openalex.org/W2891780212","https://openalex.org/W2899396128","https://openalex.org/W2946334818","https://openalex.org/W2949900957","https://openalex.org/W2951004968","https://openalex.org/W2951044009","https://openalex.org/W2954040150","https://openalex.org/W2963038177","https://openalex.org/W2963173382","https://openalex.org/W2963373786","https://openalex.org/W2963857221","https://openalex.org/W2971906246","https://openalex.org/W3005939920","https://openalex.org/W3034856597","https://openalex.org/W3035450777","https://openalex.org/W3035566422","https://openalex.org/W3035630265","https://openalex.org/W3036693463","https://openalex.org/W3037742868","https://openalex.org/W3089876778","https://openalex.org/W3103030880","https://openalex.org/W3125432712","https://openalex.org/W3165513007","https://openalex.org/W4213059792","https://openalex.org/W4251530837","https://openalex.org/W4288601277","https://openalex.org/W4288610792"],"related_works":["https://openalex.org/W2055243143","https://openalex.org/W2353396818","https://openalex.org/W2370473919","https://openalex.org/W4321636575","https://openalex.org/W1986418932","https://openalex.org/W2357796999","https://openalex.org/W2762984199","https://openalex.org/W2045526782","https://openalex.org/W2741131631","https://openalex.org/W2156919374"],"abstract_inverted_index":{"The":[0,125],"recently":[1],"developed":[2],"Particle-based":[3,68],"Variational":[4,69],"Inference":[5,70],"(ParVI)":[6],"methods":[7],"drive":[8],"the":[9,29,35,42,82,92,106,129],"empirical":[10,36,126],"distribution":[11,22],"of":[12,15,86,95,105,131],"a":[13,19,59,65,75,101],"set":[14],"fixed-weight":[16,138],"particles":[17,87],"towards":[18],"given":[20],"target":[21],"by":[23],"iteratively":[24],"updating":[25],"particles'":[26,55],"positions.":[27],"However,":[28],"fixed":[30],"weight":[31],"restriction":[32],"greatly":[33],"confines":[34],"distribution's":[37],"approximation":[38],"ability,":[39],"especially":[40],"when":[41],"particle":[43],"number":[44],"is":[45,99],"limited.":[46],"In":[47],"this":[48],"paper,":[49],"we":[50,119],"propose":[51],"to":[52,58,74],"dynamically":[53],"adjust":[54],"weights":[56,85],"according":[57,73],"Fisher-Rao":[60],"reaction":[61],"flow.":[62],"We":[63,89],"develop":[64],"general":[66,117],"Dynamic-weight":[67],"(DPVI)":[71],"framework":[72],"novel":[76],"continuous":[77],"composite":[78,97],"flow,":[79],"which":[80],"evolves":[81],"positions":[83],"and":[84],"simultaneously.":[88],"show":[90],"that":[91],"mean-field":[93],"limit":[94],"our":[96,116,132],"flow":[98,104],"actually":[100],"Wasserstein-Fisher-Rao":[102],"gradient":[103],"associated":[107],"dissimilarity":[108],"functional.":[109],"By":[110],"using":[111],"different":[112],"finite-particle":[113],"approximations":[114],"in":[115],"framework,":[118],"derive":[120],"several":[121],"efficient":[122],"DPVI":[123,134],"algorithms.":[124],"results":[127],"demonstrate":[128],"superiority":[130],"derived":[133],"algorithms":[135],"over":[136],"their":[137],"counterparts.":[139]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}