{"id":"https://openalex.org/W3080878640","doi":"https://doi.org/10.1007/978-3-030-58539-6_35","title":"The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement","display_name":"The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3080878640","doi":"https://doi.org/10.1007/978-3-030-58539-6_35","mag":"3080878640"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-58539-6_35","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-58539-6_35","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2008.10599","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109543901","display_name":"William Peebles","orcid":null},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"William Peebles","raw_affiliation_strings":["University of California, Berkeley, Berkeley, USA","University of California Berkeley Berkeley, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Berkeley, Berkeley, USA","institution_ids":["https://openalex.org/I95457486"]},{"raw_affiliation_string":"University of California Berkeley Berkeley, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058487388","display_name":"John Peebles","orcid":null},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Peebles","raw_affiliation_strings":["Yale University, New Haven, USA","Yale University,New Haven, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yale University, New Haven, USA","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"Yale University,New Haven, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102883508","display_name":"Jun-Yan Zhu","orcid":"https://orcid.org/0000-0001-8504-3410"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jun-Yan Zhu","raw_affiliation_strings":["Adobe Research, San Jose, USA","Adobe Research, San Jose , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Adobe Research, San Jose, USA","institution_ids":["https://openalex.org/I1306409833"]},{"raw_affiliation_string":"Adobe Research, San Jose , USA","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077436220","display_name":"Alexei A. Efros","orcid":"https://orcid.org/0000-0001-5720-8070"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexei Efros","raw_affiliation_strings":["University of California, Berkeley, Berkeley, USA","University of California Berkeley Berkeley, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Berkeley, Berkeley, USA","institution_ids":["https://openalex.org/I95457486"]},{"raw_affiliation_string":"University of California Berkeley Berkeley, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085020955","display_name":"Antonio Torralba","orcid":"https://orcid.org/0000-0003-4915-0256"},"institutions":[{"id":"https://openalex.org/I4405258931","display_name":"MIT Computer Science and Artificial Intelligence Laboratory","ror":"https://ror.org/01e85r662","country_code":"US","type":"facility","lineage":["https://openalex.org/I4405258931","https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Antonio Torralba","raw_affiliation_strings":["MIT CSAIL, Cambridge, USA","MIT, CSAIL; Cambridge USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT CSAIL, Cambridge, USA","institution_ids":["https://openalex.org/I4405258931"]},{"raw_affiliation_string":"MIT, CSAIL; Cambridge USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.7689,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.79731699,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"581","last_page":"597"},"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":0.9995999932289124,"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":0.9995999932289124,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9879999756813049,"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/T13650","display_name":"Computational Physics and Python Applications","score":0.9829999804496765,"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/hessian-matrix","display_name":"Hessian matrix","score":0.9018646478652954},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.7496352791786194},{"id":"https://openalex.org/keywords/penalty-method","display_name":"Penalty method","score":0.5722853541374207},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.5676043033599854},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5667898058891296},{"id":"https://openalex.org/keywords/diagonal","display_name":"Diagonal","score":0.5543385148048401},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5477367043495178},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.4843498468399048},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4725582003593445},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41783833503723145},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4142986834049225},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.4131758511066437},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3970460891723633},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36453959345817566},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.35774433612823486},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34417474269866943},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.17306071519851685},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11066648364067078}],"concepts":[{"id":"https://openalex.org/C203616005","wikidata":"https://www.wikidata.org/wiki/Q620495","display_name":"Hessian matrix","level":2,"score":0.9018646478652954},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.7496352791786194},{"id":"https://openalex.org/C6180225","wikidata":"https://www.wikidata.org/wiki/Q3411771","display_name":"Penalty method","level":2,"score":0.5722853541374207},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.5676043033599854},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5667898058891296},{"id":"https://openalex.org/C130367717","wikidata":"https://www.wikidata.org/wiki/Q189791","display_name":"Diagonal","level":2,"score":0.5543385148048401},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5477367043495178},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.4843498468399048},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4725582003593445},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41783833503723145},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4142986834049225},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.4131758511066437},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3970460891723633},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36453959345817566},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.35774433612823486},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34417474269866943},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.17306071519851685},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11066648364067078},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1007/978-3-030-58539-6_35","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-58539-6_35","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:arXiv.org:2008.10599","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2008.10599","pdf_url":"https://arxiv.org/pdf/2008.10599","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,"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:3080878640","is_oa":true,"landing_page_url":"http://arxiv.org/pdf/2008.10599.pdf","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,"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:dspace.mit.edu:1721.1/130353","is_oa":true,"landing_page_url":"https://hdl.handle.net/1721.1/130353","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"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":"arXiv","raw_type":"http://purl.org/eprint/type/ConferencePaper"},{"id":"doi:10.48550/arxiv.2008.10599","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2008.10599","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,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2008.10599","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2008.10599","pdf_url":"https://arxiv.org/pdf/2008.10599","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,"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6600000262260437,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W569478347","https://openalex.org/W1613249581","https://openalex.org/W1691728462","https://openalex.org/W1959608418","https://openalex.org/W1981276685","https://openalex.org/W1990457366","https://openalex.org/W2057450058","https://openalex.org/W2093848332","https://openalex.org/W2099471712","https://openalex.org/W2108598243","https://openalex.org/W2123649031","https://openalex.org/W2261396597","https://openalex.org/W2542898981","https://openalex.org/W2559823555","https://openalex.org/W2561715562","https://openalex.org/W2567627528","https://openalex.org/W2753738274","https://openalex.org/W2768192412","https://openalex.org/W2785519580","https://openalex.org/W2788549480","https://openalex.org/W2798434327","https://openalex.org/W2889582485","https://openalex.org/W2893749619","https://openalex.org/W2901107321","https://openalex.org/W2903141607","https://openalex.org/W2903227570","https://openalex.org/W2903538854","https://openalex.org/W2933283236","https://openalex.org/W2949748686","https://openalex.org/W2959108703","https://openalex.org/W2961363059","https://openalex.org/W2962760235","https://openalex.org/W2962770929","https://openalex.org/W2962785568","https://openalex.org/W2962793481","https://openalex.org/W2962879692","https://openalex.org/W2963026800","https://openalex.org/W2963073614","https://openalex.org/W2963129901","https://openalex.org/W2963226019","https://openalex.org/W2963330667","https://openalex.org/W2963684088","https://openalex.org/W2963890275","https://openalex.org/W2963981733","https://openalex.org/W2964074081","https://openalex.org/W2964121744","https://openalex.org/W2969485315","https://openalex.org/W3007285736","https://openalex.org/W3034431451","https://openalex.org/W3034526383","https://openalex.org/W3035574324","https://openalex.org/W3035653890","https://openalex.org/W3036815251","https://openalex.org/W3037805286","https://openalex.org/W3122887115","https://openalex.org/W3177525997","https://openalex.org/W4244155866","https://openalex.org/W6600062588","https://openalex.org/W6600274734","https://openalex.org/W6641858709","https://openalex.org/W6745992979"],"related_works":["https://openalex.org/W3109547540","https://openalex.org/W2962770929","https://openalex.org/W3016875959","https://openalex.org/W3023776785","https://openalex.org/W2996724598","https://openalex.org/W2595901109","https://openalex.org/W2903807915","https://openalex.org/W2962956294","https://openalex.org/W105745955","https://openalex.org/W2544054282","https://openalex.org/W2963828549","https://openalex.org/W3042470307","https://openalex.org/W3207134414","https://openalex.org/W3037767126","https://openalex.org/W2792024940","https://openalex.org/W2950035978","https://openalex.org/W2121974477","https://openalex.org/W2787972513","https://openalex.org/W2963581809","https://openalex.org/W3102129059"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}