{"id":"https://openalex.org/W4385764366","doi":"https://doi.org/10.24963/ijcai.2023/361","title":"Disentanglement of Latent Representations via Causal Interventions","display_name":"Disentanglement of Latent Representations via Causal Interventions","publication_year":2023,"publication_date":"2023-08-01","ids":{"openalex":"https://openalex.org/W4385764366","doi":"https://doi.org/10.24963/ijcai.2023/361"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2023/361","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/361","pdf_url":"https://www.ijcai.org/proceedings/2023/0361.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2023/0361.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074844252","display_name":"G. Gendron","orcid":"https://orcid.org/0000-0002-2457-934X"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Ga\u00ebl Gendron","raw_affiliation_strings":["University of Auckland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Auckland","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057995059","display_name":"Michael Witbrock","orcid":"https://orcid.org/0000-0002-7554-0971"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Michael Witbrock","raw_affiliation_strings":["University of Auckland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Auckland","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016115576","display_name":"Gillian Dobbie","orcid":"https://orcid.org/0000-0001-7245-0367"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Gillian Dobbie","raw_affiliation_strings":["University of Auckland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Auckland","institution_ids":["https://openalex.org/I154130895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1123,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.39330806,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"3239","last_page":"3247"},"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":0.9976000189781189,"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":0.9976000189781189,"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":0.9923999905586243,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.991599977016449,"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/causality","display_name":"Causality (physics)","score":0.7146368026733398},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.6763919591903687},{"id":"https://openalex.org/keywords/variation","display_name":"Variation (astronomy)","score":0.6533040404319763},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6340234279632568},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5316888093948364},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5256121158599854},{"id":"https://openalex.org/keywords/causal-structure","display_name":"Causal structure","score":0.4956890344619751},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48862224817276},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4502066671848297},{"id":"https://openalex.org/keywords/causal-model","display_name":"Causal model","score":0.43184298276901245},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4140816330909729},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3882732391357422},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34568077325820923},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.345231831073761},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.267198383808136},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1252446472644806}],"concepts":[{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.7146368026733398},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.6763919591903687},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.6533040404319763},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6340234279632568},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5316888093948364},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5256121158599854},{"id":"https://openalex.org/C163504300","wikidata":"https://www.wikidata.org/wiki/Q2364925","display_name":"Causal structure","level":2,"score":0.4956890344619751},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48862224817276},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4502066671848297},{"id":"https://openalex.org/C11671645","wikidata":"https://www.wikidata.org/wiki/Q5054567","display_name":"Causal model","level":2,"score":0.43184298276901245},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4140816330909729},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3882732391357422},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34568077325820923},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.345231831073761},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.267198383808136},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1252446472644806},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2023/361","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/361","pdf_url":"https://www.ijcai.org/proceedings/2023/0361.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2023/361","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/361","pdf_url":"https://www.ijcai.org/proceedings/2023/0361.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385764366.pdf"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W1834627138","https://openalex.org/W2184218725","https://openalex.org/W2547875792","https://openalex.org/W2753738274","https://openalex.org/W2785961484","https://openalex.org/W2902476877","https://openalex.org/W2950662112","https://openalex.org/W2951428711","https://openalex.org/W2963799213","https://openalex.org/W2964015378","https://openalex.org/W2964127395","https://openalex.org/W2971074500","https://openalex.org/W3005031238","https://openalex.org/W3094502228","https://openalex.org/W3129576130","https://openalex.org/W3135588948","https://openalex.org/W3160584619","https://openalex.org/W3175260249","https://openalex.org/W3176726917","https://openalex.org/W4220858968","https://openalex.org/W4225434639","https://openalex.org/W4283798426","https://openalex.org/W4285723986","https://openalex.org/W4286795917","https://openalex.org/W4286981685","https://openalex.org/W4287070285","https://openalex.org/W4287111106","https://openalex.org/W4287121985","https://openalex.org/W4288043168","https://openalex.org/W4289129346","https://openalex.org/W4294558607","https://openalex.org/W4295112158","https://openalex.org/W4297411720","https://openalex.org/W4391602018"],"related_works":["https://openalex.org/W1611624937","https://openalex.org/W2072483141","https://openalex.org/W2018580387","https://openalex.org/W4312269093","https://openalex.org/W2950035905","https://openalex.org/W4390042219","https://openalex.org/W2161504683","https://openalex.org/W3170261037","https://openalex.org/W2093587551","https://openalex.org/W4372273223"],"abstract_inverted_index":{"The":[0,17],"process":[1],"of":[2,15,19,48,53,57,130,141,146,177,187],"generating":[3],"data":[4,197],"such":[5],"as":[6,62,105],"images":[7],"is":[8],"controlled":[9],"by":[10,88],"independent":[11,33],"and":[12,32,108,122,164,179],"unknown":[13],"factors":[14,52,176],"variation.":[16],"retrieval":[18,143],"these":[20,40],"variables":[21,107],"has":[22],"been":[23],"studied":[24],"extensively":[25],"in":[26,111,132],"the":[27,51,55,64,102,120,133,148,152,175],"disentanglement,":[28],"causal":[29,89,106,113,117],"representation":[30],"learning,":[31],"component":[34],"analysis":[35],"fields.":[36],"Recently,":[37],"approaches":[38],"merging":[39],"domains":[41],"together":[42],"have":[43],"shown":[44],"great":[45],"success.":[46],"Instead":[47],"directly":[49],"representing":[50],"variation,":[54],"problem":[56],"disentanglement":[58,86,166],"can":[59,172],"be":[60],"seen":[61],"finding":[63,147],"interventions":[65,118,182],"on":[66,119,161,183],"one":[67],"image":[68,189],"that":[69,91,144,170],"yield":[70],"a":[71,74,82,112,127,138],"change":[72],"to":[73],"single":[75],"factor.":[76],"Following":[77],"this":[78],"assumption,":[79],"we":[80],"introduce":[81,137],"new":[83,139],"method":[84,160],"for":[85,151],"inspired":[87],"dynamics":[90],"combines":[92],"causality":[93],"theory":[94],"with":[95,195],"vector-quantized":[96],"variational":[97],"autoencoders.":[98],"Our":[99],"model":[100],"considers":[101],"quantized":[103],"vectors":[104],"links":[109],"them":[110],"graph.":[114],"It":[115],"performs":[116],"graph":[121],"generates":[123],"atomic":[124],"transitions":[125],"affecting":[126,191],"unique":[128],"factor":[129],"variation":[131,178],"image.":[134],"We":[135,157,168],"also":[136],"task":[140],"action":[142,149],"consists":[145],"responsible":[150],"transition":[153],"between":[154],"two":[155],"images.":[156],"test":[158],"our":[159],"standard":[162],"synthetic":[163],"real-world":[165],"datasets.":[167],"show":[169],"it":[171],"effectively":[173],"disentangle":[174],"perform":[180],"precise":[181],"high-level":[184],"semantic":[185],"attributes":[186],"an":[188],"without":[190],"its":[192],"quality,":[193],"even":[194],"imbalanced":[196],"distributions.":[198]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
