{"id":"https://openalex.org/W4402437067","doi":"https://doi.org/10.1109/ccta60707.2024.10666639","title":"PI-CoF: A Bilevel Optimization Framework for Solving Active Learning Problems using Physics-Information","display_name":"PI-CoF: A Bilevel Optimization Framework for Solving Active Learning Problems using Physics-Information","publication_year":2024,"publication_date":"2024-08-21","ids":{"openalex":"https://openalex.org/W4402437067","doi":"https://doi.org/10.1109/ccta60707.2024.10666639"},"language":"en","primary_location":{"id":"doi:10.1109/ccta60707.2024.10666639","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ccta60707.2024.10666639","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Conference on Control Technology and Applications (CCTA)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/abs/arXiv:2402.13588","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109685298","display_name":"Liqiu Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Liqiu Dong","raw_affiliation_strings":["Imperial College London,Department of Chemical Engineering"],"affiliations":[{"raw_affiliation_string":"Imperial College London,Department of Chemical Engineering","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083224162","display_name":"Marta Zag\u00f3rowska","orcid":"https://orcid.org/0000-0001-8523-5252"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Marta Zagorowska","raw_affiliation_strings":["Norwegian University of Science and Technology,Department of Engineering Cybernetics"],"affiliations":[{"raw_affiliation_string":"Norwegian University of Science and Technology,Department of Engineering Cybernetics","institution_ids":["https://openalex.org/I204778367"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007020277","display_name":"Tong Liu","orcid":"https://orcid.org/0000-0001-6449-0625"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tong Liu","raw_affiliation_strings":["Imperial College London,Department of Chemical Engineering"],"affiliations":[{"raw_affiliation_string":"Imperial College London,Department of Chemical Engineering","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024277028","display_name":"Alex Durkin","orcid":"https://orcid.org/0009-0002-6165-3315"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Alex Durkin","raw_affiliation_strings":["Imperial College London,Department of Chemical Engineering"],"affiliations":[{"raw_affiliation_string":"Imperial College London,Department of Chemical Engineering","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083007769","display_name":"Mehmet Mercang\u00f6z","orcid":"https://orcid.org/0000-0002-4449-0414"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mehmet Mercang\u00f6z","raw_affiliation_strings":["Imperial College London,Department of Chemical Engineering"],"affiliations":[{"raw_affiliation_string":"Imperial College London,Department of Chemical Engineering","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5109685298"],"corresponding_institution_ids":["https://openalex.org/I47508984"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18298005,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"101","last_page":"106"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11697","display_name":"Numerical Methods and Algorithms","score":0.968500018119812,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11697","display_name":"Numerical Methods and Algorithms","score":0.968500018119812,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11801","display_name":"Reservoir Engineering and Simulation Methods","score":0.9279999732971191,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.9236999750137329,"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/bilevel-optimization","display_name":"Bilevel optimization","score":0.871003270149231},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48271891474723816},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.3793918490409851},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3647654056549072},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.23763900995254517},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19230476021766663},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13113972544670105}],"concepts":[{"id":"https://openalex.org/C3309286","wikidata":"https://www.wikidata.org/wiki/Q4907693","display_name":"Bilevel optimization","level":3,"score":0.871003270149231},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48271891474723816},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.3793918490409851},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3647654056549072},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.23763900995254517},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19230476021766663},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13113972544670105}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ccta60707.2024.10666639","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ccta60707.2024.10666639","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Conference on Control Technology and Applications (CCTA)","raw_type":"proceedings-article"},{"id":"pmh:oai:zenodo.org:14000506","is_oa":true,"landing_page_url":"https://arxiv.org/abs/arXiv:2402.13588","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"CCTA, 8th IEEE Conference on Control Technology and Applications 2024, Newcastle upon Tyne, 21-23 August 2024","raw_type":"info:eu-repo/semantics/conferenceProceedings"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:14000506","is_oa":true,"landing_page_url":"https://arxiv.org/abs/arXiv:2402.13588","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"CCTA, 8th IEEE Conference on Control Technology and Applications 2024, Newcastle upon Tyne, 21-23 August 2024","raw_type":"info:eu-repo/semantics/conferenceProceedings"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320217","display_name":"Marie Curie","ror":"https://ror.org/02aqv1x10"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W228406189","https://openalex.org/W979496064","https://openalex.org/W1994313913","https://openalex.org/W2900477816","https://openalex.org/W3083799782","https://openalex.org/W3126906886","https://openalex.org/W3161792715","https://openalex.org/W3163993681","https://openalex.org/W3172457552","https://openalex.org/W3182083840","https://openalex.org/W3185679378","https://openalex.org/W3194515217","https://openalex.org/W4211049957","https://openalex.org/W4288039037","https://openalex.org/W4293004057","https://openalex.org/W4308829342","https://openalex.org/W4313321696","https://openalex.org/W4360841691","https://openalex.org/W4378188866","https://openalex.org/W4386071860","https://openalex.org/W4386645252","https://openalex.org/W4388918709","https://openalex.org/W4402305929","https://openalex.org/W6763061162","https://openalex.org/W6764988152","https://openalex.org/W6810909649","https://openalex.org/W6846175943"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W4318070895","https://openalex.org/W3157915181","https://openalex.org/W4401134013","https://openalex.org/W2896140431","https://openalex.org/W1536852012","https://openalex.org/W3015956618","https://openalex.org/W1994436307","https://openalex.org/W2920493340","https://openalex.org/W2071082401"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,43,113,149,156,163,177,201],"broadly":[3],"applicable":[4],"method":[5,21],"for":[6,27,35,48,85,93,172],"incorporating":[7],"physics":[8,51,209],"information":[9,52],"into":[10,112],"existing":[11],"machine":[12],"learning":[13],"(ML)":[14],"models":[15,100],"of":[16,50,64,79,136,142,176],"any":[17],"type.":[18],"The":[19,140,181],"proposed":[20,109,144,195],"-":[22,31],"we":[23],"refer":[24],"as":[25,123],"PI-CoF":[26,171,196],"Physics-Informed":[28],"Correction":[29],"Factors":[30],"introduces":[32],"correction":[33],"factors":[34],"pointwise":[36],"inference,":[37],"which":[38],"are":[39,70,101],"determined":[40],"by":[41,169],"solving":[42],"regularized":[44],"unconstrained":[45],"optimization":[46,105,115,159,175],"problem":[47,120,126],"reconciliation":[49,119],"and":[53,90,133,187],"ML":[54,99],"model":[55],"predictions.":[56],"Regularization":[57],"is":[58,121,146,166],"introduced":[59],"to":[60,72,200],"prevent":[61],"excessive":[62],"use":[63],"corrections,":[65],"while":[66],"individually":[67],"weighted":[68],"costs":[69],"employed":[71],"adjust":[73],"corrections":[74,84,92],"based":[75],"on":[76],"the":[77,108,118,131,137,143,173,194],"level":[78],"prediction":[80],"uncertainty,":[81],"allowing":[82],"stronger":[83],"predictions":[86],"with":[87,95],"higher":[88],"uncertainty":[89],"weaker":[91],"those":[94],"lower":[96],"uncertainty.":[97],"When":[98],"used":[102],"in":[103,155,198],"an":[104,124],"context,":[106],"using":[107,170,193],"approach":[110,145,197],"translates":[111],"bilevel":[114],"problem,":[116],"where":[117],"solved":[122],"inner":[125],"each":[127],"time":[128],"before":[129],"evaluating":[130],"objective":[132],"constraint":[134,153],"functions":[135],"outer":[138],"problem.":[139],"utility":[141],"demonstrated":[147],"through":[148],"numerical":[150],"example,":[151],"emphasizing":[152],"satisfaction":[154],"safe":[157],"Bayesian":[158],"(BO)":[160],"setting.":[161],"Furthermore,":[162],"simulation":[164],"study":[165],"carried":[167],"out":[168],"real-time":[174],"fuel":[178,185],"cell":[179],"system.":[180],"results":[182],"show":[183],"reduced":[184],"consumption":[186],"better":[188],"reference":[189],"tracking":[190],"performance":[191],"when":[192],"comparison":[199],"constrained":[202],"BO":[203],"algorithm":[204],"that":[205],"does":[206],"not":[207],"incorporate":[208],"information.":[210]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}