{"id":"https://openalex.org/W2963892986","doi":"https://doi.org/10.1145/3309486.3340245","title":"Subspace neural physics","display_name":"Subspace neural physics","publication_year":2019,"publication_date":"2019-07-19","ids":{"openalex":"https://openalex.org/W2963892986","doi":"https://doi.org/10.1145/3309486.3340245","mag":"2963892986"},"language":"en","primary_location":{"id":"doi:10.1145/3309486.3340245","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3309486.3340245","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th annual ACM SIGGRAPH/Eurographics Symposium on Computer Animation","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009413789","display_name":"Daniel Holden","orcid":"https://orcid.org/0000-0001-7585-4463"},"institutions":[{"id":"https://openalex.org/I4210104072","display_name":"Ubisoft (Canada)","ror":"https://ror.org/01hmp5p66","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210104072"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Daniel Holden","raw_affiliation_strings":["Ubisoft, Canada"],"affiliations":[{"raw_affiliation_string":"Ubisoft, Canada","institution_ids":["https://openalex.org/I4210104072"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084190086","display_name":"Bang Chi Duong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104072","display_name":"Ubisoft (Canada)","ror":"https://ror.org/01hmp5p66","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210104072"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Bang Chi Duong","raw_affiliation_strings":["Ubisoft, Canada"],"affiliations":[{"raw_affiliation_string":"Ubisoft, Canada","institution_ids":["https://openalex.org/I4210104072"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071148847","display_name":"Sayantan Datta","orcid":"https://orcid.org/0000-0001-6858-5816"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Sayantan Datta","raw_affiliation_strings":["McGill University, Canada"],"affiliations":[{"raw_affiliation_string":"McGill University, Canada","institution_ids":["https://openalex.org/I5023651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053824527","display_name":"Derek Nowrouzezahrai","orcid":"https://orcid.org/0000-0002-4279-1774"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Derek Nowrouzezahrai","raw_affiliation_strings":["McGill University, Canada"],"affiliations":[{"raw_affiliation_string":"McGill University, Canada","institution_ids":["https://openalex.org/I5023651"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5009413789"],"corresponding_institution_ids":["https://openalex.org/I4210104072"],"apc_list":null,"apc_paid":null,"fwci":7.0605,"has_fulltext":false,"cited_by_count":78,"citation_normalized_percentile":{"value":0.97738011,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9901999831199646,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9886999726295471,"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/subspace-topology","display_name":"Subspace topology","score":0.8304482698440552},{"id":"https://openalex.org/keywords/precomputation","display_name":"Precomputation","score":0.7184445261955261},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6868032217025757},{"id":"https://openalex.org/keywords/dynamical-simulation","display_name":"Dynamical simulation","score":0.5718943476676941},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.509816586971283},{"id":"https://openalex.org/keywords/verlet-integration","display_name":"Verlet integration","score":0.4838258624076843},{"id":"https://openalex.org/keywords/memory-footprint","display_name":"Memory footprint","score":0.4726140797138214},{"id":"https://openalex.org/keywords/physics-engine","display_name":"Physics engine","score":0.41440558433532715},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38536787033081055},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.21756699681282043},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0955495834350586}],"concepts":[{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.8304482698440552},{"id":"https://openalex.org/C159379195","wikidata":"https://www.wikidata.org/wiki/Q7239568","display_name":"Precomputation","level":3,"score":0.7184445261955261},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6868032217025757},{"id":"https://openalex.org/C81587630","wikidata":"https://www.wikidata.org/wiki/Q5319044","display_name":"Dynamical simulation","level":2,"score":0.5718943476676941},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.509816586971283},{"id":"https://openalex.org/C45600393","wikidata":"https://www.wikidata.org/wiki/Q2984997","display_name":"Verlet integration","level":3,"score":0.4838258624076843},{"id":"https://openalex.org/C74912251","wikidata":"https://www.wikidata.org/wiki/Q6815727","display_name":"Memory footprint","level":2,"score":0.4726140797138214},{"id":"https://openalex.org/C190390380","wikidata":"https://www.wikidata.org/wiki/Q62505","display_name":"Physics engine","level":2,"score":0.41440558433532715},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38536787033081055},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.21756699681282043},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0955495834350586},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C59593255","wikidata":"https://www.wikidata.org/wiki/Q901663","display_name":"Molecular dynamics","level":2,"score":0.0},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3309486.3340245","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3309486.3340245","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th annual ACM SIGGRAPH/Eurographics Symposium on Computer Animation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1967152690","https://openalex.org/W1971613390","https://openalex.org/W1976986327","https://openalex.org/W1983293264","https://openalex.org/W1992988897","https://openalex.org/W2002436811","https://openalex.org/W2005412377","https://openalex.org/W2006598861","https://openalex.org/W2011131260","https://openalex.org/W2024243735","https://openalex.org/W2032617361","https://openalex.org/W2034504303","https://openalex.org/W2044413732","https://openalex.org/W2051962838","https://openalex.org/W2056316267","https://openalex.org/W2062740692","https://openalex.org/W2064675550","https://openalex.org/W2071424786","https://openalex.org/W2071839134","https://openalex.org/W2089858332","https://openalex.org/W2093223141","https://openalex.org/W2115513040","https://openalex.org/W2132836675","https://openalex.org/W2153961306","https://openalex.org/W2156410578","https://openalex.org/W2172140247","https://openalex.org/W2187250581","https://openalex.org/W2407337164","https://openalex.org/W2462928467","https://openalex.org/W2530006557","https://openalex.org/W2533813864","https://openalex.org/W2739745536","https://openalex.org/W2778680124","https://openalex.org/W2795008545","https://openalex.org/W2810015627","https://openalex.org/W2886416285","https://openalex.org/W2902665249","https://openalex.org/W2952104252","https://openalex.org/W2953345667","https://openalex.org/W2964128214","https://openalex.org/W2964994311","https://openalex.org/W3123879774","https://openalex.org/W4206829704","https://openalex.org/W4232529963","https://openalex.org/W4238731981","https://openalex.org/W4249749781","https://openalex.org/W4250702940","https://openalex.org/W4251379127","https://openalex.org/W4252888391","https://openalex.org/W4256610973"],"related_works":["https://openalex.org/W2089992767","https://openalex.org/W2156767205","https://openalex.org/W3043483703","https://openalex.org/W622403409","https://openalex.org/W2969053614","https://openalex.org/W2567089594","https://openalex.org/W4387596100","https://openalex.org/W3127082165","https://openalex.org/W2940081677","https://openalex.org/W1998674253"],"abstract_inverted_index":{"Data-driven":[0],"methods":[1,31],"for":[2,9,24,55,109,167],"physical":[3,73,138],"simulation":[4,57,74,84,98],"are":[5],"an":[6,116],"attractive":[7],"option":[8],"interactive":[10,44],"applications":[11,45],"due":[12],"to":[13,16,61,134,153,176],"their":[14],"ability":[15],"trade":[17],"precomputation":[18],"and":[19,38,49,170],"memory":[20,37],"footprint":[21],"in":[22,144],"exchange":[23],"improved":[25],"runtime":[26],"performance.":[27],"Yet,":[28],"existing":[29,110],"data-driven":[30,72],"fall":[32],"short":[33],"of":[34,63,118,125,140,157],"the":[35,137,141,145],"extreme":[36],"performance":[39,53],"constraints":[40],"imposed":[41],"by":[42],"modern":[43],"like":[46],"AAA":[47],"games":[48],"virtual":[50],"reality.":[51],"Here,":[52],"budgets":[54],"physics":[56,97],"range":[58],"from":[59],"tens":[60],"hundreds":[62],"micro-seconds":[64],"per":[65,67],"frame,":[66],"object.":[68],"We":[69,113,147],"present":[70,115],"a":[71,93,106,122,159,162,171],"method":[75,81,120],"that":[76,99],"meets":[77],"these":[78],"constraints.":[79],"Our":[80],"combines":[82],"subspace":[83,111,126,173],"techniques":[85],"with":[86,102],"machine":[87,132],"learning":[88,133],"which,":[89],"when":[90],"coupled,":[91],"enables":[92],"very":[94],"efficient":[95],"subspace-only":[96],"supports":[100],"interactions":[101],"external":[103],"objects":[104],"-":[105],"longstanding":[107],"challenge":[108],"techniques.":[112],"also":[114],"interpretation":[117],"our":[119],"as":[121],"special":[123],"case":[124],"Verlet":[127],"integration,":[128],"where":[129],"we":[130],"apply":[131],"efficiently":[135],"approximate":[136],"forces":[139],"system":[142],"directly":[143],"subspace.":[146],"propose":[148],"several":[149],"practical":[150],"solutions":[151],"required":[152,166],"make":[154],"effective":[155],"use":[156],"such":[158],"model,":[160],"including":[161],"novel":[163],"training":[164],"methodology":[165],"prediction":[168],"stability,":[169],"GPU-friendly":[172],"decompression":[174],"algorithm":[175],"accelerate":[177],"rendering.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":20},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":2}],"updated_date":"2026-03-31T07:56:22.981413","created_date":"2025-10-10T00:00:00"}
