{"id":"https://openalex.org/W3130438476","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892800","title":"Robust and integrative Bayesian neural networks for likelihood-free parameter inference","display_name":"Robust and integrative Bayesian neural networks for likelihood-free parameter inference","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W3130438476","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892800","mag":"3130438476"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn55064.2022.9892800","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892800","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 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/A5061098005","display_name":"Fredrik Wrede","orcid":"https://orcid.org/0000-0002-9417-6618"},"institutions":[{"id":"https://openalex.org/I123387679","display_name":"Uppsala University","ror":"https://ror.org/048a87296","country_code":"SE","type":"education","lineage":["https://openalex.org/I123387679"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Fredrik Wrede","raw_affiliation_strings":["Uppsala University,Department of Information Technology,Sweden","Department of Information Technology, Uppsala University, Sweden"],"affiliations":[{"raw_affiliation_string":"Uppsala University,Department of Information Technology,Sweden","institution_ids":["https://openalex.org/I123387679"]},{"raw_affiliation_string":"Department of Information Technology, Uppsala University, Sweden","institution_ids":["https://openalex.org/I123387679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005635719","display_name":"Robin Eriksson","orcid":null},"institutions":[{"id":"https://openalex.org/I123387679","display_name":"Uppsala University","ror":"https://ror.org/048a87296","country_code":"SE","type":"education","lineage":["https://openalex.org/I123387679"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Robin Eriksson","raw_affiliation_strings":["Uppsala University,Department of Information Technology,Sweden","Department of Information Technology, Uppsala University, Sweden"],"affiliations":[{"raw_affiliation_string":"Uppsala University,Department of Information Technology,Sweden","institution_ids":["https://openalex.org/I123387679"]},{"raw_affiliation_string":"Department of Information Technology, Uppsala University, Sweden","institution_ids":["https://openalex.org/I123387679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083182498","display_name":"Richard Jiang","orcid":"https://orcid.org/0000-0003-1721-9474"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Richard Jiang","raw_affiliation_strings":["University of California Santa Barbara,Department of Computer Science,Santa Barbara,CA,USA","Department of Computer Science, University of California Santa Barbara, Santa Barbara, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California Santa Barbara,Department of Computer Science,Santa Barbara,CA,USA","institution_ids":["https://openalex.org/I154570441"]},{"raw_affiliation_string":"Department of Computer Science, University of California Santa Barbara, Santa Barbara, CA, USA","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034914954","display_name":"Linda Petzold","orcid":null},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Linda Petzold","raw_affiliation_strings":["University of California Santa Barbara,Department of Computer Science,Santa Barbara,CA,USA","Department of Computer Science, University of California Santa Barbara, Santa Barbara, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California Santa Barbara,Department of Computer Science,Santa Barbara,CA,USA","institution_ids":["https://openalex.org/I154570441"]},{"raw_affiliation_string":"Department of Computer Science, University of California Santa Barbara, Santa Barbara, CA, USA","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019497989","display_name":"Stefan Engblom","orcid":"https://orcid.org/0000-0002-3614-1732"},"institutions":[{"id":"https://openalex.org/I123387679","display_name":"Uppsala University","ror":"https://ror.org/048a87296","country_code":"SE","type":"education","lineage":["https://openalex.org/I123387679"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Stefan Engblom","raw_affiliation_strings":["Uppsala University,Department of Information Technology,Sweden","Department of Information Technology, Uppsala University, Sweden"],"affiliations":[{"raw_affiliation_string":"Uppsala University,Department of Information Technology,Sweden","institution_ids":["https://openalex.org/I123387679"]},{"raw_affiliation_string":"Department of Information Technology, Uppsala University, Sweden","institution_ids":["https://openalex.org/I123387679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065946530","display_name":"Andreas Hellander","orcid":"https://orcid.org/0000-0001-7273-7923"},"institutions":[{"id":"https://openalex.org/I123387679","display_name":"Uppsala University","ror":"https://ror.org/048a87296","country_code":"SE","type":"education","lineage":["https://openalex.org/I123387679"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Andreas Hellander","raw_affiliation_strings":["Uppsala University,Department of Information Technology,Sweden","Department of Information Technology, Uppsala University, Sweden"],"affiliations":[{"raw_affiliation_string":"Uppsala University,Department of Information Technology,Sweden","institution_ids":["https://openalex.org/I123387679"]},{"raw_affiliation_string":"Department of Information Technology, Uppsala University, Sweden","institution_ids":["https://openalex.org/I123387679"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047975816","display_name":"Prashant Singh","orcid":"https://orcid.org/0000-0002-3123-3478"},"institutions":[{"id":"https://openalex.org/I123387679","display_name":"Uppsala University","ror":"https://ror.org/048a87296","country_code":"SE","type":"education","lineage":["https://openalex.org/I123387679"]},{"id":"https://openalex.org/I2800139495","display_name":"Science for Life Laboratory","ror":"https://ror.org/04ev03g22","country_code":"SE","type":"facility","lineage":["https://openalex.org/I2800139495"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Prashant Singh","raw_affiliation_strings":["Uppsala University,Department of Information Technology,Sweden","Department of Information Technology, Uppsala University, Sweden","Science for Life Laboratory, Uppsala University, Sweden"],"affiliations":[{"raw_affiliation_string":"Uppsala University,Department of Information Technology,Sweden","institution_ids":["https://openalex.org/I123387679"]},{"raw_affiliation_string":"Department of Information Technology, Uppsala University, Sweden","institution_ids":["https://openalex.org/I123387679"]},{"raw_affiliation_string":"Science for Life Laboratory, Uppsala University, Sweden","institution_ids":["https://openalex.org/I2800139495","https://openalex.org/I123387679"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5061098005"],"corresponding_institution_ids":["https://openalex.org/I123387679"],"apc_list":null,"apc_paid":null,"fwci":0.2079,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.36355311,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9993000030517578,"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":0.9993000030517578,"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/T12056","display_name":"Markov Chains and Monte Carlo Methods","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9973000288009644,"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":0.7225912809371948},{"id":"https://openalex.org/keywords/posterior-probability","display_name":"Posterior probability","score":0.6538223028182983},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5968127250671387},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5806750655174255},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5678834915161133},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5564002990722656},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5553402900695801},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5237748026847839},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.5012838840484619},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4708784520626068},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4699898958206177},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.45069628953933716},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1441001296043396},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13146597146987915}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7225912809371948},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.6538223028182983},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5968127250671387},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5806750655174255},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5678834915161133},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5564002990722656},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5553402900695801},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5237748026847839},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.5012838840484619},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4708784520626068},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4699898958206177},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.45069628953933716},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1441001296043396},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13146597146987915},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn55064.2022.9892800","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892800","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8384597332","display_name":null,"funder_award_id":"NIH/2R01EB014877-04A1","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W1527338945","https://openalex.org/W1556550707","https://openalex.org/W1594863551","https://openalex.org/W2005243481","https://openalex.org/W2056730597","https://openalex.org/W2092124742","https://openalex.org/W2135267747","https://openalex.org/W2139812092","https://openalex.org/W2147639966","https://openalex.org/W2151729750","https://openalex.org/W2155418451","https://openalex.org/W2164411961","https://openalex.org/W2171235719","https://openalex.org/W2212660284","https://openalex.org/W2323879535","https://openalex.org/W2394656956","https://openalex.org/W2586921859","https://openalex.org/W2802314367","https://openalex.org/W2895152177","https://openalex.org/W2896478781","https://openalex.org/W2910862205","https://openalex.org/W2914562565","https://openalex.org/W2945598669","https://openalex.org/W2951266961","https://openalex.org/W2963047245","https://openalex.org/W2963284230","https://openalex.org/W2963818159","https://openalex.org/W2963822196","https://openalex.org/W2963884690","https://openalex.org/W2964250089","https://openalex.org/W2970898247","https://openalex.org/W2981791529","https://openalex.org/W3004228280","https://openalex.org/W3031514878","https://openalex.org/W3034706502","https://openalex.org/W3034852998","https://openalex.org/W3038295249","https://openalex.org/W3081344392","https://openalex.org/W3094221767","https://openalex.org/W3105637242","https://openalex.org/W3118581558","https://openalex.org/W3157094080","https://openalex.org/W3198473892","https://openalex.org/W4234453731","https://openalex.org/W4287869466","https://openalex.org/W4288350962","https://openalex.org/W4288418124","https://openalex.org/W4288618158","https://openalex.org/W4289367619","https://openalex.org/W4293849739","https://openalex.org/W6684488266","https://openalex.org/W6688325169","https://openalex.org/W6711753481","https://openalex.org/W6732808215","https://openalex.org/W6738536549","https://openalex.org/W6744013019","https://openalex.org/W6751496971","https://openalex.org/W6751787819","https://openalex.org/W6755697297","https://openalex.org/W6758531720","https://openalex.org/W6759297816","https://openalex.org/W6762796280","https://openalex.org/W6763486065","https://openalex.org/W6773628879","https://openalex.org/W6774094329","https://openalex.org/W6784790970","https://openalex.org/W6787795230","https://openalex.org/W6929400582"],"related_works":["https://openalex.org/W2032094637","https://openalex.org/W2040227828","https://openalex.org/W2372267530","https://openalex.org/W2060045818","https://openalex.org/W2969189870","https://openalex.org/W2965643117","https://openalex.org/W4303857162","https://openalex.org/W2131935101","https://openalex.org/W2407375987","https://openalex.org/W856257623"],"abstract_inverted_index":{"State-of-the-art":[0],"neural":[1,28,52],"network-based":[2],"methods":[3],"for":[4,12,19,87],"learning":[5,20],"summary":[6,48],"statistics":[7,49],"have":[8],"delivered":[9],"promising":[10],"results":[11],"simulation-based":[13],"likelihood-free":[14],"parameter":[15],"inference.":[16],"Existing":[17],"approaches":[18],"summarizing":[21],"networks":[22],"are":[23],"mainly":[24],"based":[25],"on":[26,83,93,130],"deterministic":[27],"networks,":[29,53],"and":[30,54,72,90],"do":[31],"not":[32],"take":[33],"network":[34,81],"prediction":[35],"uncertainty":[36],"into":[37],"account.":[38],"This":[39,85],"work":[40],"proposes":[41],"a":[42,56,108,117],"robust":[43,91],"integrated":[44],"approach":[45,129],"that":[46],"learns":[47],"using":[50,60],"Bayesian":[51],"produces":[55],"proposal":[57,77,100],"posterior":[58,78,101],"density":[59,118],"categorical":[61],"distributions.":[62],"An":[63],"adaptive":[64],"sampling":[65],"scheme":[66],"selects":[67],"simulation":[68],"locations":[69],"to":[70,120],"efficiently":[71],"iteratively":[73],"refine":[74],"the":[75,80,123],"predictive":[76],"of":[79],"conditioned":[82],"observations.":[84],"allows":[86],"more":[88],"efficient":[89],"convergence":[92],"comparatively":[94],"large":[95],"prior":[96],"spaces.":[97],"The":[98],"approximated":[99],"can":[102],"then":[103],"either":[104],"be":[105,112],"processed":[106],"through":[107],"correction":[109],"mechanism,":[110],"or":[111],"used":[113],"in":[114],"conjunction":[115],"with":[116],"estimator":[119],"arrive":[121],"at":[122],"true":[124],"posterior.":[125],"We":[126],"demonstrate":[127],"our":[128],"benchmark":[131],"examples.":[132]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}