{"id":"https://openalex.org/W3040915569","doi":"https://doi.org/10.1109/tmm.2020.3008053","title":"Improving Generative Modelling in VAEs Using Multimodal Prior","display_name":"Improving Generative Modelling in VAEs Using Multimodal Prior","publication_year":2020,"publication_date":"2020-07-08","ids":{"openalex":"https://openalex.org/W3040915569","doi":"https://doi.org/10.1109/tmm.2020.3008053","mag":"3040915569"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2020.3008053","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2020.3008053","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://ora.ox.ac.uk/objects/uuid:d4a7306e-6d5c-4e84-9525-4363723328f8","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075520691","display_name":"Vinayak Abrol","orcid":"https://orcid.org/0000-0001-8149-8151"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Vinayak Abrol","raw_affiliation_strings":["Mathematical Institute, University of Oxford, Oxford, U.K"],"affiliations":[{"raw_affiliation_string":"Mathematical Institute, University of Oxford, Oxford, U.K","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101783272","display_name":"Pulkit Sharma","orcid":"https://orcid.org/0000-0001-7870-7098"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Pulkit Sharma","raw_affiliation_strings":["Department of Engineering Science, University of Oxford, Oxford, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Engineering Science, University of Oxford, Oxford, U.K","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074566653","display_name":"Arijit Patra","orcid":"https://orcid.org/0000-0002-4447-6030"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Arijit Patra","raw_affiliation_strings":["Department of Engineering Science, University of Oxford, Oxford, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Engineering Science, University of Oxford, Oxford, U.K","institution_ids":["https://openalex.org/I40120149"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5075520691"],"corresponding_institution_ids":["https://openalex.org/I40120149"],"apc_list":null,"apc_paid":null,"fwci":0.4885,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.65411373,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"23","issue":null,"first_page":"2153","last_page":"2161"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T11309","display_name":"Music and Audio Processing","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10862","display_name":"AI in cancer detection","score":0.9944000244140625,"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/interpretability","display_name":"Interpretability","score":0.7791495323181152},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7607686519622803},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.7181440591812134},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6434452533721924},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.5868597626686096},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5768362283706665},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.5479344129562378},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.5207160115242004},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5077406167984009},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.49641281366348267},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45999205112457275},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.43439382314682007},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.1862652599811554},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.1603272557258606}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7791495323181152},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7607686519622803},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.7181440591812134},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6434452533721924},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.5868597626686096},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5768362283706665},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.5479344129562378},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.5207160115242004},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5077406167984009},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.49641281366348267},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45999205112457275},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.43439382314682007},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.1862652599811554},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.1603272557258606}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tmm.2020.3008053","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2020.3008053","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"},{"id":"pmh:oai:ora.ox.ac.uk:uuid:d4a7306e-6d5c-4e84-9525-4363723328f8","is_oa":true,"landing_page_url":null,"pdf_url":"https://ora.ox.ac.uk/objects/uuid:d4a7306e-6d5c-4e84-9525-4363723328f8","source":{"id":"https://openalex.org/S4306402636","display_name":"Oxford University Research Archive (ORA) (University of Oxford)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I40120149","host_organization_name":"University of Oxford","host_organization_lineage":["https://openalex.org/I40120149"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symplectic Elements","raw_type":"Journal article"}],"best_oa_location":{"id":"pmh:oai:ora.ox.ac.uk:uuid:d4a7306e-6d5c-4e84-9525-4363723328f8","is_oa":true,"landing_page_url":null,"pdf_url":"https://ora.ox.ac.uk/objects/uuid:d4a7306e-6d5c-4e84-9525-4363723328f8","source":{"id":"https://openalex.org/S4306402636","display_name":"Oxford University Research Archive (ORA) (University of Oxford)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I40120149","host_organization_name":"University of Oxford","host_organization_lineage":["https://openalex.org/I40120149"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symplectic Elements","raw_type":"Journal article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3040915569.pdf"},"referenced_works_count":103,"referenced_works":["https://openalex.org/W1487641199","https://openalex.org/W1779010541","https://openalex.org/W1909320841","https://openalex.org/W1951319388","https://openalex.org/W1959608418","https://openalex.org/W2003262996","https://openalex.org/W2019946480","https://openalex.org/W2099471712","https://openalex.org/W2108598243","https://openalex.org/W2112796928","https://openalex.org/W2123107849","https://openalex.org/W2125865219","https://openalex.org/W2163922914","https://openalex.org/W2173520492","https://openalex.org/W2188365844","https://openalex.org/W2198584637","https://openalex.org/W2267126114","https://openalex.org/W2302255633","https://openalex.org/W2423557781","https://openalex.org/W2469547219","https://openalex.org/W2520774990","https://openalex.org/W2556467266","https://openalex.org/W2560512785","https://openalex.org/W2595056910","https://openalex.org/W2609575245","https://openalex.org/W2622563070","https://openalex.org/W2750384547","https://openalex.org/W2753738274","https://openalex.org/W2786772298","https://openalex.org/W2798434327","https://openalex.org/W2883813744","https://openalex.org/W2884581909","https://openalex.org/W2906670434","https://openalex.org/W2912126472","https://openalex.org/W2923549568","https://openalex.org/W2924476266","https://openalex.org/W2942415903","https://openalex.org/W2950378732","https://openalex.org/W2950765122","https://openalex.org/W2953046278","https://openalex.org/W2953318193","https://openalex.org/W2955738936","https://openalex.org/W2962844293","https://openalex.org/W2962897886","https://openalex.org/W2962908092","https://openalex.org/W2962919088","https://openalex.org/W2962930338","https://openalex.org/W2962958773","https://openalex.org/W2963226019","https://openalex.org/W2963281697","https://openalex.org/W2963504544","https://openalex.org/W2963522047","https://openalex.org/W2963636093","https://openalex.org/W2963684088","https://openalex.org/W2963801305","https://openalex.org/W2964135650","https://openalex.org/W2964159205","https://openalex.org/W2964160479","https://openalex.org/W2964167449","https://openalex.org/W2964219393","https://openalex.org/W2970971581","https://openalex.org/W3101227480","https://openalex.org/W3102661353","https://openalex.org/W3104433444","https://openalex.org/W3118608800","https://openalex.org/W4289129346","https://openalex.org/W4289763970","https://openalex.org/W4293469690","https://openalex.org/W4293771587","https://openalex.org/W4295312788","https://openalex.org/W4297665915","https://openalex.org/W4298343152","https://openalex.org/W4320013936","https://openalex.org/W6629354409","https://openalex.org/W6639732818","https://openalex.org/W6640963894","https://openalex.org/W6678639082","https://openalex.org/W6678814708","https://openalex.org/W6685352114","https://openalex.org/W6687045409","https://openalex.org/W6687506355","https://openalex.org/W6698183232","https://openalex.org/W6718140377","https://openalex.org/W6726946684","https://openalex.org/W6729906282","https://openalex.org/W6730333270","https://openalex.org/W6730998768","https://openalex.org/W6731140762","https://openalex.org/W6738560588","https://openalex.org/W6743688258","https://openalex.org/W6744627333","https://openalex.org/W6746569791","https://openalex.org/W6747491877","https://openalex.org/W6748570010","https://openalex.org/W6751813273","https://openalex.org/W6752040014","https://openalex.org/W6753113894","https://openalex.org/W6753304447","https://openalex.org/W6757445682","https://openalex.org/W6757598368","https://openalex.org/W6757836095","https://openalex.org/W6766978945","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W2988134182","https://openalex.org/W2470043383","https://openalex.org/W3034107787","https://openalex.org/W2953501176","https://openalex.org/W2965095304","https://openalex.org/W3034474024","https://openalex.org/W2770818364","https://openalex.org/W4317242571","https://openalex.org/W2944085132","https://openalex.org/W2616125534"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"propose":[4],"a":[5,22,86,104,131],"conditional":[6,24],"generative":[7,81,155],"modelling":[8,38],"(CGM)":[9],"approach":[10,102,146],"for":[11,78,107],"unsupervised":[12],"disentangled":[13,141],"representation":[14],"learning":[15],"using":[16,85],"variational":[17],"autoencoder":[18],"(VAE).":[19],"CGM":[20],"employs":[21],"multimodal/categorical":[23],"prior":[25],"distribution":[26],"in":[27,35,125],"the":[28,39,45,49,54,62,65,70,80,91,97,101,109,113,116,120,144],"latent":[29,66,93],"space":[30],"to":[31,51],"learn":[32,140],"global":[33,92],"uncertainty":[34],"data":[36],"by":[37,69],"variations":[40],"at":[41],"local":[42],"level.":[43],"Thus,":[44],"proposed":[46,145],"framework":[47],"enforces":[48],"model":[50,82],"independently":[52],"estimate":[53],"inherent":[55],"patterns":[56],"within":[57],"each":[58],"category,":[59],"which":[60,118],"improves":[61],"interpretability":[63],"of":[64,122,133],"representations":[67,142],"learned":[68],"VAE":[71,127],"model.":[72],"The":[73],"evidence":[74],"lower":[75],"bound":[76],"objective":[77,138],"training":[79],"is":[83],"maximized":[84],"mutual":[87],"information":[88,110],"criterion":[89],"between":[90,112],"categorical":[94],"variable":[95],"and":[96,115,143,159],"encoded":[98],"inputs.":[99],"Further,":[100],"has":[103],"built-in":[105],"mechanism":[106],"bounding":[108],"flow":[111],"encoder":[114],"decoder":[117],"addresses":[119],"problems":[121],"posterior":[123],"collapse":[124],"conventional":[126],"models.":[128],"Experiments":[129],"on":[130,150],"variety":[132],"datasets":[134],"demonstrate":[135],"that":[136],"our":[137],"can":[139],"achieves":[147],"competitive":[148],"results":[149],"various":[151],"task":[152],"such":[153],"as":[154],"modelling,":[156],"image":[157,160],"classification":[158],"denoising.":[161]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
