{"id":"https://openalex.org/W3212758941","doi":"https://doi.org/10.1109/mfi52462.2021.9591184","title":"Time-efficient Bayesian Inference for a (Skewed) Von Mises Distribution on the Torus in a Deep Probabilistic Programming Language","display_name":"Time-efficient Bayesian Inference for a (Skewed) Von Mises Distribution on the Torus in a Deep Probabilistic Programming Language","publication_year":2021,"publication_date":"2021-09-23","ids":{"openalex":"https://openalex.org/W3212758941","doi":"https://doi.org/10.1109/mfi52462.2021.9591184","mag":"3212758941"},"language":"en","primary_location":{"id":"doi:10.1109/mfi52462.2021.9591184","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mfi52462.2021.9591184","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://orbilu.uni.lu/handle/10993/57852","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071282095","display_name":"Ola R\u00f8nning","orcid":null},"institutions":[{"id":"https://openalex.org/I124055696","display_name":"University of Copenhagen","ror":"https://ror.org/035b05819","country_code":"DK","type":"education","lineage":["https://openalex.org/I124055696"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Ola Ronning","raw_affiliation_strings":["University of Copenhagen, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Copenhagen, Denmark","institution_ids":["https://openalex.org/I124055696"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071802800","display_name":"Christophe Ley","orcid":"https://orcid.org/0000-0002-2290-8437"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Christophe Ley","raw_affiliation_strings":["Computer Science and Statistics, Ghent University, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Statistics, Ghent University, Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038053428","display_name":"Kanti V. Mardia","orcid":"https://orcid.org/0000-0003-0090-6235"},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]},{"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":"Kanti V. Mardia","raw_affiliation_strings":["School of Mathematics, University of Leeds, UK","University of Oxford, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics, University of Leeds, UK","institution_ids":["https://openalex.org/I130828816"]},{"raw_affiliation_string":"University of Oxford, UK","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047821550","display_name":"Thomas Hamelryck","orcid":"https://orcid.org/0000-0003-2917-3602"},"institutions":[{"id":"https://openalex.org/I124055696","display_name":"University of Copenhagen","ror":"https://ror.org/035b05819","country_code":"DK","type":"education","lineage":["https://openalex.org/I124055696"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Thomas Hamelryck","raw_affiliation_strings":["University of Copenhagen, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Copenhagen, Denmark","institution_ids":["https://openalex.org/I124055696"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1399,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57764956,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"15","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.996399998664856,"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/T11269","display_name":"Algorithms and Data Compression","score":0.996399998664856,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9907000064849854,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9887999892234802,"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/computer-science","display_name":"Computer science","score":0.6312458515167236},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.6033785343170166},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5237436294555664},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5134738087654114},{"id":"https://openalex.org/keywords/statistical-inference","display_name":"Statistical inference","score":0.4788532257080078},{"id":"https://openalex.org/keywords/von-mises-distribution","display_name":"von Mises distribution","score":0.4759754240512848},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.44000300765037537},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3929556608200073},{"id":"https://openalex.org/keywords/von-mises-yield-criterion","display_name":"von Mises yield criterion","score":0.34853166341781616},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30443310737609863},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2322712242603302},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.14383697509765625},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11767306923866272}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6312458515167236},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.6033785343170166},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5237436294555664},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5134738087654114},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.4788532257080078},{"id":"https://openalex.org/C198138136","wikidata":"https://www.wikidata.org/wiki/Q7941490","display_name":"von Mises distribution","level":4,"score":0.4759754240512848},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.44000300765037537},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3929556608200073},{"id":"https://openalex.org/C155165730","wikidata":"https://www.wikidata.org/wiki/Q1319519","display_name":"von Mises yield criterion","level":3,"score":0.34853166341781616},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30443310737609863},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2322712242603302},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.14383697509765625},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11767306923866272},{"id":"https://openalex.org/C135628077","wikidata":"https://www.wikidata.org/wiki/Q220184","display_name":"Finite element method","level":2,"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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/mfi52462.2021.9591184","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mfi52462.2021.9591184","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","raw_type":"proceedings-article"},{"id":"pmh:oai:orbilu.uni.lu:10993/57852","is_oa":true,"landing_page_url":"https://orbilu.uni.lu/handle/10993/57852","pdf_url":null,"source":{"id":"https://openalex.org/S4306401815","display_name":"Open Repository and Bibliography (University of Luxembourg)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I186903577","host_organization_name":"University of Luxembourg","host_organization_lineage":["https://openalex.org/I186903577"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (2021-09-25); 2021 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), Karlsruhe, Deu [Deu], 23-09-2021 => 25-09-2021","raw_type":"peer reviewed"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/03033f55-61cc-49de-91b3-d8f8f7c21f41","is_oa":false,"landing_page_url":"https://researchprofiles.ku.dk/da/publications/03033f55-61cc-49de-91b3-d8f8f7c21f41","pdf_url":null,"source":{"id":"https://openalex.org/S4306401983","display_name":"Research at the University of Copenhagen (University of Copenhagen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I124055696","host_organization_name":"University of Copenhagen","host_organization_lineage":["https://openalex.org/I124055696"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Ronning , O , Ley , C , Mardia , K V & Hamelryck , T 2021 , Time-efficient Bayesian Inference for a (Skewed) von Mises Distribution on the Torus in a Deep Probabilistic Programming Language . in 2021 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) . IEEE , pp. 1-8 , 2021 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2021 , Karlsruhe , Germany , 23/09/2021 . https://doi.org/10.1109/MFI52462.2021.9591184","raw_type":"contributionToPeriodical"}],"best_oa_location":{"id":"pmh:oai:orbilu.uni.lu:10993/57852","is_oa":true,"landing_page_url":"https://orbilu.uni.lu/handle/10993/57852","pdf_url":null,"source":{"id":"https://openalex.org/S4306401815","display_name":"Open Repository and Bibliography (University of Luxembourg)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I186903577","host_organization_name":"University of Luxembourg","host_organization_lineage":["https://openalex.org/I186903577"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (2021-09-25); 2021 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), Karlsruhe, Deu [Deu], 23-09-2021 => 25-09-2021","raw_type":"peer reviewed"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322928","display_name":"Danmarks Frie Forskningsfond","ror":"https://ror.org/02sptwz63"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W77637080","https://openalex.org/W1548178570","https://openalex.org/W1954190716","https://openalex.org/W1969621320","https://openalex.org/W1994593049","https://openalex.org/W2014376206","https://openalex.org/W2017285544","https://openalex.org/W2049902088","https://openalex.org/W2061095207","https://openalex.org/W2148534890","https://openalex.org/W2151967501","https://openalex.org/W2766967152","https://openalex.org/W2905505698","https://openalex.org/W2948978827","https://openalex.org/W2951595529","https://openalex.org/W2963081964","https://openalex.org/W2963977107","https://openalex.org/W2964321317","https://openalex.org/W2970971581","https://openalex.org/W2973457155","https://openalex.org/W2981145471","https://openalex.org/W2981150028","https://openalex.org/W2982652191","https://openalex.org/W2999044305","https://openalex.org/W3103543904","https://openalex.org/W3127174575","https://openalex.org/W3162614523","https://openalex.org/W3177263274","https://openalex.org/W4289256549","https://openalex.org/W4295312788","https://openalex.org/W6638836233","https://openalex.org/W6679529799","https://openalex.org/W6682569104","https://openalex.org/W6766978945","https://openalex.org/W6769062588","https://openalex.org/W6769403462"],"related_works":["https://openalex.org/W2015913877","https://openalex.org/W2743399515","https://openalex.org/W2912327495","https://openalex.org/W137830373","https://openalex.org/W2108205837","https://openalex.org/W4399440807","https://openalex.org/W3000984192","https://openalex.org/W2002927610","https://openalex.org/W4240108915","https://openalex.org/W1849160524"],"abstract_inverted_index":{"Probabilistic":[0],"programming":[1,14],"languages":[2],"(PPLs)":[3],"are":[4,37,114],"at":[5],"the":[6,11,43,70,128,149,186,189],"interface":[7],"between":[8],"statistics":[9],"and":[10,28,32,49,74,91,101,110,142,154,159,161,182],"theory":[12],"of":[13,42,65,131,148,172,188,199],"languages.":[15],"PPLs":[16,38,54],"formulate":[17],"statistical":[18],"models":[19,96],"as":[20,98],"stochastic":[21],"programs":[22],"that":[23,166],"enable":[24],"automatic":[25,213],"inference":[26,61],"algorithms":[27],"optimization.":[29],"Pyro":[30,158],"[1]":[31],"its":[33,111,155],"sibling":[34],"NumPyro":[35],"[2]":[36],"built":[39],"on":[40],"top":[41],"deep":[44,94,102],"learning":[45],"frameworks":[46],"PyTorch":[47],"[3]":[48],"Jax":[50],"[4],":[51],"respectively.":[52],"Both":[53],"provide":[55,122],"simple,":[56],"highly":[57],"similar":[58],"interfaces":[59],"for":[60,212],"using":[62,175,201,207],"efficient":[63,146],"implementations":[64,147],"Hamiltonian":[66],"Monte":[67],"Carlo":[68],"(HMC),":[69],"No-U-Turn":[71],"Sampler":[72],"(NUTS),":[73],"Stochastic":[75],"Variational":[76],"Inference":[77],"(SVI).":[78],"They":[79,121],"automatically":[80,87],"generate":[81],"variational":[82,99],"distributions":[83,116],"from":[84],"a":[85,123,163,202],"model,":[86],"enumerate":[88],"discrete":[89],"variables,":[90],"support":[92],"formulating":[93],"probabilistic":[95],"such":[97],"autoencoders":[100],"Markov":[103],"models.":[104],"The":[105],"Sine":[106,150,191],"von":[107,151,192],"Mises":[108,152,193],"distribution":[109,153,194],"skewed":[112,190],"variant":[113],"toroidal":[115],"relevant":[117],"to":[118,126],"protein":[119,132,138],"bioinformatics.":[120],"natural":[124],"way":[125],"model":[127,205],"dihedral":[129,197],"angles":[130,198],"structures,":[133],"which":[134],"is":[135],"important":[136],"in":[137,157],"structure":[139],"prediction,":[140],"simulation":[141,164],"analysis.":[143],"We":[144,184],"present":[145],"skewing":[156],"NumPyro,":[160],"devise":[162],"method":[165],"increases":[167],"efficiency":[168],"with":[169],"several":[170],"orders":[171],"magnitude":[173],"when":[174],"parallel":[176],"hardware":[177],"(i.e.,":[178],"modern":[179],"CPUs,":[180],"GPUs,":[181],"TPUs).":[183],"demonstrate":[185],"use":[187],"by":[195],"modeling":[196],"proteins":[200],"Bayesian":[203],"mixture":[204],"inferred":[206],"NUTS,":[208],"exploiting":[209],"NumPyro's":[210],"facilities":[211],"enumeration":[214],"[5].":[215]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}