{"id":"https://openalex.org/W2925974453","doi":"https://doi.org/10.24963/ijcai.2019/499","title":"Deeper Connections between Neural Networks and Gaussian Processes Speed-up Active Learning","display_name":"Deeper Connections between Neural Networks and Gaussian Processes Speed-up Active Learning","publication_year":2019,"publication_date":"2019-07-28","ids":{"openalex":"https://openalex.org/W2925974453","doi":"https://doi.org/10.24963/ijcai.2019/499","mag":"2925974453"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2019/499","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/499","pdf_url":"https://www.ijcai.org/proceedings/2019/0499.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2019/0499.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038054526","display_name":"Evgenii Tsymbalov","orcid":"https://orcid.org/0000-0002-9072-1172"},"institutions":[{"id":"https://openalex.org/I125989756","display_name":"Skolkovo Institute of Science and Technology","ror":"https://ror.org/03f9nc143","country_code":"RU","type":"education","lineage":["https://openalex.org/I125989756"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Evgenii Tsymbalov","raw_affiliation_strings":["Skolkovo Institute of Science and Technology (Skoltech)"],"affiliations":[{"raw_affiliation_string":"Skolkovo Institute of Science and Technology (Skoltech)","institution_ids":["https://openalex.org/I125989756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090310010","display_name":"Sergei Makarychev","orcid":null},"institutions":[{"id":"https://openalex.org/I125989756","display_name":"Skolkovo Institute of Science and Technology","ror":"https://ror.org/03f9nc143","country_code":"RU","type":"education","lineage":["https://openalex.org/I125989756"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Sergei Makarychev","raw_affiliation_strings":["Skolkovo Institute of Science and Technology (Skoltech)"],"affiliations":[{"raw_affiliation_string":"Skolkovo Institute of Science and Technology (Skoltech)","institution_ids":["https://openalex.org/I125989756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007354935","display_name":"Alexander V. Shapeev","orcid":"https://orcid.org/0000-0002-7497-5594"},"institutions":[{"id":"https://openalex.org/I125989756","display_name":"Skolkovo Institute of Science and Technology","ror":"https://ror.org/03f9nc143","country_code":"RU","type":"education","lineage":["https://openalex.org/I125989756"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Alexander Shapeev","raw_affiliation_strings":["Skolkovo Institute of Science and Technology (Skoltech)"],"affiliations":[{"raw_affiliation_string":"Skolkovo Institute of Science and Technology (Skoltech)","institution_ids":["https://openalex.org/I125989756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047074710","display_name":"Maxim Panov","orcid":"https://orcid.org/0000-0001-5161-2822"},"institutions":[{"id":"https://openalex.org/I125989756","display_name":"Skolkovo Institute of Science and Technology","ror":"https://ror.org/03f9nc143","country_code":"RU","type":"education","lineage":["https://openalex.org/I125989756"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Maxim Panov","raw_affiliation_strings":["Skolkovo Institute of Science and Technology (Skoltech)"],"affiliations":[{"raw_affiliation_string":"Skolkovo Institute of Science and Technology (Skoltech)","institution_ids":["https://openalex.org/I125989756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5038054526"],"corresponding_institution_ids":["https://openalex.org/I125989756"],"apc_list":null,"apc_paid":null,"fwci":1.7359,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.88464152,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"3599","last_page":"3605"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9925000071525574,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9925000071525574,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9897000193595886,"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":0.7094683051109314},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6855906248092651},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.6159612536430359},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5805861353874207},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5727837085723877},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4928164780139923},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4848686158657074},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4705541431903839},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4166552424430847}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7094683051109314},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6855906248092651},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.6159612536430359},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5805861353874207},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5727837085723877},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4928164780139923},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4848686158657074},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4705541431903839},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4166552424430847},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.24963/ijcai.2019/499","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/499","pdf_url":"https://www.ijcai.org/proceedings/2019/0499.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1902.10350","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1902.10350","pdf_url":"https://arxiv.org/pdf/1902.10350","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2019/499","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/499","pdf_url":"https://www.ijcai.org/proceedings/2019/0499.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2925974453.pdf","grobid_xml":"https://content.openalex.org/works/W2925974453.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W104441265","https://openalex.org/W144691381","https://openalex.org/W582134693","https://openalex.org/W645137215","https://openalex.org/W1502922572","https://openalex.org/W1556219185","https://openalex.org/W1595797227","https://openalex.org/W1777124189","https://openalex.org/W1788633279","https://openalex.org/W1975748348","https://openalex.org/W2018044188","https://openalex.org/W2080635178","https://openalex.org/W2108677974","https://openalex.org/W2159675211","https://openalex.org/W2527189750","https://openalex.org/W2578980197","https://openalex.org/W2766678531","https://openalex.org/W2798820905","https://openalex.org/W2804939281","https://openalex.org/W2810438149","https://openalex.org/W2884298516","https://openalex.org/W2899575464","https://openalex.org/W2951493172","https://openalex.org/W2951786554","https://openalex.org/W3015850748","https://openalex.org/W3103983137","https://openalex.org/W3120740533","https://openalex.org/W4289763970","https://openalex.org/W4294205985"],"related_works":["https://openalex.org/W2280422768","https://openalex.org/W3143197806","https://openalex.org/W4252555497","https://openalex.org/W3121175838","https://openalex.org/W3016293053","https://openalex.org/W1690653314","https://openalex.org/W2401723157","https://openalex.org/W2065055572","https://openalex.org/W1964286703","https://openalex.org/W2169866437"],"abstract_inverted_index":{"Active":[0],"learning":[1,40],"methods":[2],"for":[3,20,59,65,110],"neural":[4,45,60,82,103],"networks":[5,61,83],"are":[6,63],"usually":[7],"based":[8],"on":[9,118],"greedy":[10],"criteria,":[11],"which":[12,52,89],"ultimately":[13],"give":[14],"a":[15,32,114],"single":[16],"new":[17],"design":[18,35],"point":[19],"the":[21,44,66,71,94,102,131,134,138],"evaluation.":[22],"Such":[23],"an":[24],"approach":[25,136],"requires":[26],"either":[27],"some":[28],"heuristics":[29],"to":[30,79,92],"sample":[31],"batch":[33],"of":[34,97,116,124,133],"points":[36,67],"at":[37],"one":[38],"active":[39],"iteration,":[41],"or":[42],"retraining":[43,101],"network":[46,104],"after":[47],"adding":[48],"each":[49],"data":[50],"point,":[51],"is":[53],"computationally":[54],"inefficient.":[55],"Moreover,":[56],"uncertainty":[57,95,108],"estimates":[58,96],"sometimes":[62],"overconfident":[64,107],"lying":[68],"far":[69],"from":[70],"training":[72],"sample.":[73],"In":[74,113],"this":[75],"work,":[76],"we":[77,129],"propose":[78],"approximate":[80],"Bayesian":[81],"(BNN)":[84],"by":[85],"Gaussian":[86],"processes":[87],"(GP),":[88],"allows":[90],"us":[91],"update":[93],"predictions":[98],"efficiently":[99],"without":[100],"while":[105],"avoiding":[106],"prediction":[109],"out-of-sample":[111],"points.":[112],"series":[115],"experiments":[117],"real-world":[119],"data,":[120],"including":[121],"large-scale":[122],"problems":[123],"chemical":[125],"and":[126],"physical":[127],"modeling,":[128],"show":[130],"superiority":[132],"proposed":[135],"over":[137],"state-of-the-art":[139],"methods.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}