{"id":"https://openalex.org/W2103819961","doi":"https://doi.org/10.1109/ijcnn.2010.5596837","title":"Parallel tempering is efficient for learning restricted Boltzmann machines","display_name":"Parallel tempering is efficient for learning restricted Boltzmann machines","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2103819961","doi":"https://doi.org/10.1109/ijcnn.2010.5596837","mag":"2103819961"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2010.5596837","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2010.5596837","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2010 International Joint Conference on Neural Networks (IJCNN)","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/A5030087918","display_name":"Kyunghyun Cho","orcid":null},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"KyungHyun Cho","raw_affiliation_strings":["Department of Information and Computer Science, School of Science and Technology, Aalto University, Finland"],"affiliations":[{"raw_affiliation_string":"Department of Information and Computer Science, School of Science and Technology, Aalto University, Finland","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008894339","display_name":"Tapani Raiko","orcid":"https://orcid.org/0000-0002-0321-304X"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Tapani Raiko","raw_affiliation_strings":["Department of Information and Computer Science, School of Science and Technology, Aalto University, Finland"],"affiliations":[{"raw_affiliation_string":"Department of Information and Computer Science, School of Science and Technology, Aalto University, Finland","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103933556","display_name":"Alexander Ilin","orcid":"https://orcid.org/0000-0001-6419-3006"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Alexander Ilin","raw_affiliation_strings":["Department of Information and Computer Science, School of Science and Technology, Aalto University, Finland"],"affiliations":[{"raw_affiliation_string":"Department of Information and Computer Science, School of Science and Technology, Aalto University, Finland","institution_ids":["https://openalex.org/I9927081"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5030087918"],"corresponding_institution_ids":["https://openalex.org/I9927081"],"apc_list":null,"apc_paid":null,"fwci":7.7586,"has_fulltext":false,"cited_by_count":79,"citation_normalized_percentile":{"value":0.97801141,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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":0.9997000098228455,"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":0.9997000098228455,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.9991000294685364,"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":0.9950000047683716,"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/boltzmann-machine","display_name":"Boltzmann machine","score":0.8940682411193848},{"id":"https://openalex.org/keywords/parallel-tempering","display_name":"Parallel tempering","score":0.8576913475990295},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7387977242469788},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5766362547874451},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5301987528800964},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.4984772205352783},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47994402050971985},{"id":"https://openalex.org/keywords/restricted-boltzmann-machine","display_name":"Restricted Boltzmann machine","score":0.4615834355354309},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.44854068756103516},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.41500696539878845},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3984786868095398},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.35093018412590027},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.24504569172859192},{"id":"https://openalex.org/keywords/hybrid-monte-carlo","display_name":"Hybrid Monte Carlo","score":0.16787534952163696},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16291502118110657}],"concepts":[{"id":"https://openalex.org/C192576344","wikidata":"https://www.wikidata.org/wiki/Q194706","display_name":"Boltzmann machine","level":3,"score":0.8940682411193848},{"id":"https://openalex.org/C187653413","wikidata":"https://www.wikidata.org/wiki/Q7135015","display_name":"Parallel tempering","level":5,"score":0.8576913475990295},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7387977242469788},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5766362547874451},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5301987528800964},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.4984772205352783},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47994402050971985},{"id":"https://openalex.org/C199354608","wikidata":"https://www.wikidata.org/wiki/Q7316287","display_name":"Restricted Boltzmann machine","level":3,"score":0.4615834355354309},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.44854068756103516},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.41500696539878845},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3984786868095398},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35093018412590027},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.24504569172859192},{"id":"https://openalex.org/C13153151","wikidata":"https://www.wikidata.org/wiki/Q1639846","display_name":"Hybrid Monte Carlo","level":4,"score":0.16787534952163696},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16291502118110657},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2010.5596837","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2010.5596837","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2010 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.227.7724","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.227.7724","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cis.hut.fi/kcho/papers/ijcnn10rbm.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W66838807","https://openalex.org/W189596042","https://openalex.org/W193851967","https://openalex.org/W1513873506","https://openalex.org/W1813659000","https://openalex.org/W2072128103","https://openalex.org/W2099939455","https://openalex.org/W2100495367","https://openalex.org/W2116064496","https://openalex.org/W2124776405","https://openalex.org/W2164700406","https://openalex.org/W2170171286","https://openalex.org/W3098919389","https://openalex.org/W3120740533","https://openalex.org/W4231109964","https://openalex.org/W6607775107","https://openalex.org/W6607944616","https://openalex.org/W6638304892","https://openalex.org/W6668502408","https://openalex.org/W6674789083","https://openalex.org/W6684164617","https://openalex.org/W6788247690"],"related_works":["https://openalex.org/W1483435625","https://openalex.org/W4283272532","https://openalex.org/W2952018105","https://openalex.org/W2119341610","https://openalex.org/W2916681395","https://openalex.org/W2556473569","https://openalex.org/W3143043463","https://openalex.org/W4302433642","https://openalex.org/W2300214449","https://openalex.org/W164233667"],"abstract_inverted_index":{"A":[0],"new":[1],"interest":[2],"towards":[3],"restricted":[4],"Boltzmann":[5],"machines":[6],"(RBMs)":[7],"has":[8,25,36],"risen":[9],"due":[10,39],"to":[11,31,40,50],"their":[12],"usefulness":[13],"in":[14,44],"greedy":[15],"learning":[16,24,46],"of":[17],"deep":[18],"neural":[19],"networks.":[20],"While":[21],"contrastive":[22],"divergence":[23],"been":[26],"considered":[27],"an":[28,33,52],"efficient":[29],"way":[30],"learn":[32],"RBM,":[34],"it":[35,65],"a":[37,41],"drawback":[38],"biased":[42],"approximation":[43],"the":[45],"gradient.":[47],"We":[48],"propose":[49],"use":[51],"advanced":[53],"Monte":[54],"Carlo":[55],"method":[56],"called":[57],"parallel":[58],"tempering":[59],"instead,":[60],"and":[61],"show":[62],"experimentally":[63],"that":[64],"works":[66],"efficiently.":[67]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":9},{"year":2013,"cited_by_count":10},{"year":2012,"cited_by_count":9}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}