{"id":"https://openalex.org/W4410832783","doi":"https://doi.org/10.1137/24m1667543","title":"Robust A-Optimal Experimental Design for Sensor Placement in Bayesian Linear Inverse Problems","display_name":"Robust A-Optimal Experimental Design for Sensor Placement in Bayesian Linear Inverse Problems","publication_year":2025,"publication_date":"2025-05-28","ids":{"openalex":"https://openalex.org/W4410832783","doi":"https://doi.org/10.1137/24m1667543"},"language":"en","primary_location":{"id":"doi:10.1137/24m1667543","is_oa":false,"landing_page_url":"https://doi.org/10.1137/24m1667543","pdf_url":null,"source":{"id":"https://openalex.org/S2911293512","display_name":"SIAM/ASA Journal on Uncertainty Quantification","issn_l":"2166-2525","issn":["2166-2525"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM/ASA Journal on Uncertainty Quantification","raw_type":"journal-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/A5082752382","display_name":"Ahmed Attia","orcid":"https://orcid.org/0000-0001-5940-9247"},"institutions":[{"id":"https://openalex.org/I1282105669","display_name":"Argonne National Laboratory","ror":"https://ror.org/05gvnxz63","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282105669","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ahmed Attia","raw_affiliation_strings":["Mathematics and Computer Science Division, Argonne National Laboratory, Lemont, IL 60439 USA"],"raw_orcid":"https://orcid.org/0000-0001-5940-9247","affiliations":[{"raw_affiliation_string":"Mathematics and Computer Science Division, Argonne National Laboratory, Lemont, IL 60439 USA","institution_ids":["https://openalex.org/I1282105669"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084814006","display_name":"Sven Leyffer","orcid":"https://orcid.org/0000-0001-8839-5876"},"institutions":[{"id":"https://openalex.org/I1282105669","display_name":"Argonne National Laboratory","ror":"https://ror.org/05gvnxz63","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282105669","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sven Leyffer","raw_affiliation_strings":["Mathematics and Computer Science Division, Argonne National Laboratory, Lemont, IL 60439 USA"],"raw_orcid":"https://orcid.org/0000-0001-8839-5876","affiliations":[{"raw_affiliation_string":"Mathematics and Computer Science Division, Argonne National Laboratory, Lemont, IL 60439 USA","institution_ids":["https://openalex.org/I1282105669"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086190700","display_name":"Todd Munson","orcid":"https://orcid.org/0000-0002-0030-3648"},"institutions":[{"id":"https://openalex.org/I1282105669","display_name":"Argonne National Laboratory","ror":"https://ror.org/05gvnxz63","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282105669","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Todd S. Munson","raw_affiliation_strings":["Mathematics and Computer Science Division, Argonne National Laboratory, Lemont, IL 60439 USA"],"raw_orcid":"https://orcid.org/0000-0002-0030-3648","affiliations":[{"raw_affiliation_string":"Mathematics and Computer Science Division, Argonne National Laboratory, Lemont, IL 60439 USA","institution_ids":["https://openalex.org/I1282105669"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1282105669"],"apc_list":null,"apc_paid":null,"fwci":2.7368,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.9098526,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"13","issue":"2","first_page":"744","last_page":"774"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9979000091552734,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9979000091552734,"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/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9958000183105469,"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/bayesian-probability","display_name":"Bayesian probability","score":0.6547600030899048},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.6231323480606079},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5113827586174011},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.47226014733314514},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.471050500869751},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3978995680809021},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3499912619590759},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23443526029586792},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.0862615704536438},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.06956088542938232}],"concepts":[{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6547600030899048},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.6231323480606079},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5113827586174011},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.47226014733314514},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.471050500869751},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3978995680809021},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3499912619590759},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23443526029586792},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0862615704536438},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.06956088542938232}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1137/24m1667543","is_oa":false,"landing_page_url":"https://doi.org/10.1137/24m1667543","pdf_url":null,"source":{"id":"https://openalex.org/S2911293512","display_name":"SIAM/ASA Journal on Uncertainty Quantification","issn_l":"2166-2525","issn":["2166-2525"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM/ASA Journal on Uncertainty Quantification","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G107546177","display_name":null,"funder_award_id":"DE- AC02-06-CH11357","funder_id":"https://openalex.org/F4320338284","funder_display_name":"Argonne National Laboratory"}],"funders":[{"id":"https://openalex.org/F4320338284","display_name":"Argonne National Laboratory","ror":"https://ror.org/05gvnxz63"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W35625836","https://openalex.org/W1583562684","https://openalex.org/W1964857401","https://openalex.org/W1967337126","https://openalex.org/W1985666665","https://openalex.org/W1985845039","https://openalex.org/W2005126631","https://openalex.org/W2013243898","https://openalex.org/W2019143734","https://openalex.org/W2039477419","https://openalex.org/W2045949646","https://openalex.org/W2045994776","https://openalex.org/W2057424870","https://openalex.org/W2066034539","https://openalex.org/W2066170571","https://openalex.org/W2075665712","https://openalex.org/W2077021047","https://openalex.org/W2144351691","https://openalex.org/W2148323950","https://openalex.org/W2149498546","https://openalex.org/W2157186153","https://openalex.org/W2226450186","https://openalex.org/W2266462593","https://openalex.org/W2291685518","https://openalex.org/W2319356411","https://openalex.org/W2487914706","https://openalex.org/W2563710438","https://openalex.org/W2592279581","https://openalex.org/W2606342551","https://openalex.org/W2788406418","https://openalex.org/W2790258746","https://openalex.org/W2962707560","https://openalex.org/W2963128303","https://openalex.org/W2963215177","https://openalex.org/W2963427446","https://openalex.org/W2964225090","https://openalex.org/W2964324126","https://openalex.org/W3003257820","https://openalex.org/W3045958358","https://openalex.org/W3103970247","https://openalex.org/W3126043620","https://openalex.org/W3128272375","https://openalex.org/W3140073246","https://openalex.org/W4223995173","https://openalex.org/W4249667877","https://openalex.org/W4296357585","https://openalex.org/W4299133008","https://openalex.org/W4393026183"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W4409439182","https://openalex.org/W2053286651","https://openalex.org/W2181743346","https://openalex.org/W2187401768","https://openalex.org/W2181413294","https://openalex.org/W2052122378","https://openalex.org/W2331917905","https://openalex.org/W3155039083"],"abstract_inverted_index":{"Abstract.":[0],"Optimal":[1],"design":[2,29,93,104],"of":[3,40,43,67,70,109,111,156],"experiments":[4,166],"for":[5,53,89,95,122,136,177],"Bayesian":[6,24,96],"inverse":[7,45,72,98,113],"problems":[8,99],"has":[9],"recently":[10],"gained":[11],"wide":[12],"popularity":[13],"and":[14,23,131,142,151,159,169],"attracted":[15],"much":[16],"attention,":[17],"especially":[18],"in":[19,38,180],"the":[20,41,68,71,76,79,102,112,123,154,157,160,171],"computational":[21],"science":[22],"inversion":[25],"communities.":[26],"An":[27],"optimal":[28,50,91,103],"maximizes":[30],"a":[31,118,181],"predefined":[32],"utility":[33],"function":[34],"that":[35,101],"is":[36,105],"formulated":[37],"terms":[39],"elements":[42,69,110],"an":[44,47,85,133],"problem,":[46,73],"example":[48],"being":[49],"sensor":[51,178],"placement":[52,179],"parameter":[54,182],"identification.":[55],"The":[56],"state-of-the-art":[57],"algorithmic":[58,87,134,162],"approaches":[59,145],"following":[60],"this":[61],"simple":[62],"formulation":[63],"generally":[64],"overlook":[65],"misspecification":[66,108],"such":[74,100,138],"as":[75],"prior":[77],"or":[78,125],"measurement":[80],"uncertainties.":[81],"This":[82],"work":[83],"presents":[84],"efficient":[86],"approach":[88,121,135,173],"designing":[90],"experimental":[92],"schemes":[94],"linear":[97],"robust":[106,129],"to":[107,167],"problem.":[114,184],"Specifically,":[115],"we":[116],"consider":[117],"worst-case":[119],"scenario":[120],"uncertain":[124],"misspecified":[126],"parameters,":[127],"formulate":[128],"objectives,":[130],"propose":[132],"optimizing":[137],"objectives.":[139],"Both":[140],"relaxation":[141],"stochastic":[143],"solution":[144],"are":[146,174],"discussed":[147],"with":[148],"detailed":[149],"analysis":[150],"insight":[152],"into":[153],"interpretation":[155],"problem":[158],"proposed":[161,172],"approach.":[163],"Extensive":[164],"numerical":[165],"validate":[168],"analyze":[170],"carried":[175],"out":[176],"identification":[183]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1}],"updated_date":"2026-08-22T07:34:49.880490","created_date":"2025-10-10T00:00:00"}