{"id":"https://openalex.org/W4415428314","doi":"https://doi.org/10.3233/faia251042","title":"ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts","display_name":"ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts","publication_year":2025,"publication_date":"2025-10-21","ids":{"openalex":"https://openalex.org/W4415428314","doi":"https://doi.org/10.3233/faia251042"},"language":null,"primary_location":{"id":"doi:10.3233/faia251042","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia251042","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.3233/faia251042","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5099054978","display_name":"Patryk B\u0119dkowski","orcid":null},"institutions":[{"id":"https://openalex.org/I108403487","display_name":"Warsaw University of Technology","ror":"https://ror.org/00y0xnp53","country_code":"PL","type":"education","lineage":["https://openalex.org/I108403487"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Patryk B\u0119dkowski","raw_affiliation_strings":["Warsaw University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Warsaw University of Technology","institution_ids":["https://openalex.org/I108403487"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072557876","display_name":"Jan Michal Dubinski","orcid":"https://orcid.org/0000-0002-2568-0132"},"institutions":[{"id":"https://openalex.org/I108403487","display_name":"Warsaw University of Technology","ror":"https://ror.org/00y0xnp53","country_code":"PL","type":"education","lineage":["https://openalex.org/I108403487"]},{"id":"https://openalex.org/I4210136276","display_name":"NASK National Research Institute","ror":"https://ror.org/03ajsaw82","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210136276"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Jan Dubi\u0144ski","raw_affiliation_strings":["NASK National Research Institute","Warsaw University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NASK National Research Institute","institution_ids":["https://openalex.org/I4210136276"]},{"raw_affiliation_string":"Warsaw University of Technology","institution_ids":["https://openalex.org/I108403487"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060649408","display_name":"Filip Szatkowski","orcid":"https://orcid.org/0000-0001-8592-2001"},"institutions":[{"id":"https://openalex.org/I108403487","display_name":"Warsaw University of Technology","ror":"https://ror.org/00y0xnp53","country_code":"PL","type":"education","lineage":["https://openalex.org/I108403487"]},{"id":"https://openalex.org/I4210086719","display_name":"Integrated Detector Electronics AS (Norway)","ror":"https://ror.org/0043mfh16","country_code":"NO","type":"company","lineage":["https://openalex.org/I4210086719"]},{"id":"https://openalex.org/I4210087512","display_name":"Corporaci\u00f3n Universitaria de Colombia Ideas","ror":"https://ror.org/0025p3069","country_code":"CO","type":"education","lineage":["https://openalex.org/I4210087512"]},{"id":"https://openalex.org/I4210160062","display_name":"Innovative Designs in Environments for an Aging Society","ror":"https://ror.org/054s8nj77","country_code":"US","type":"other","lineage":["https://openalex.org/I4210160062"]}],"countries":["CO","NO","PL","US"],"is_corresponding":false,"raw_author_name":"Filip Szatkowski","raw_affiliation_strings":["IDEAS NCBR","Warsaw University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IDEAS NCBR","institution_ids":["https://openalex.org/I4210160062","https://openalex.org/I4210086719","https://openalex.org/I4210087512"]},{"raw_affiliation_string":"Warsaw University of Technology","institution_ids":["https://openalex.org/I108403487"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026378980","display_name":"Kamil Rafa\u0142 Deja","orcid":"https://orcid.org/0000-0003-1156-5544"},"institutions":[{"id":"https://openalex.org/I108403487","display_name":"Warsaw University of Technology","ror":"https://ror.org/00y0xnp53","country_code":"PL","type":"education","lineage":["https://openalex.org/I108403487"]},{"id":"https://openalex.org/I4210086719","display_name":"Integrated Detector Electronics AS (Norway)","ror":"https://ror.org/0043mfh16","country_code":"NO","type":"company","lineage":["https://openalex.org/I4210086719"]},{"id":"https://openalex.org/I4210087512","display_name":"Corporaci\u00f3n Universitaria de Colombia Ideas","ror":"https://ror.org/0025p3069","country_code":"CO","type":"education","lineage":["https://openalex.org/I4210087512"]},{"id":"https://openalex.org/I4210160062","display_name":"Innovative Designs in Environments for an Aging Society","ror":"https://ror.org/054s8nj77","country_code":"US","type":"other","lineage":["https://openalex.org/I4210160062"]}],"countries":["CO","NO","PL","US"],"is_corresponding":false,"raw_author_name":"Kamil Deja","raw_affiliation_strings":["IDEAS Research Institute","Warsaw University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IDEAS Research Institute","institution_ids":["https://openalex.org/I4210160062","https://openalex.org/I4210086719","https://openalex.org/I4210087512"]},{"raw_affiliation_string":"Warsaw University of Technology","institution_ids":["https://openalex.org/I108403487"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080630128","display_name":"P. S. Rokita","orcid":"https://orcid.org/0000-0002-4433-2133"},"institutions":[{"id":"https://openalex.org/I108403487","display_name":"Warsaw University of Technology","ror":"https://ror.org/00y0xnp53","country_code":"PL","type":"education","lineage":["https://openalex.org/I108403487"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Przemys\u0142aw Rokita","raw_affiliation_strings":["Warsaw University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Warsaw University of Technology","institution_ids":["https://openalex.org/I108403487"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070627781","display_name":"T. P. Trzcinski","orcid":"https://orcid.org/0000-0002-1486-8906"},"institutions":[{"id":"https://openalex.org/I108403487","display_name":"Warsaw University of Technology","ror":"https://ror.org/00y0xnp53","country_code":"PL","type":"education","lineage":["https://openalex.org/I108403487"]},{"id":"https://openalex.org/I4210086719","display_name":"Integrated Detector Electronics AS (Norway)","ror":"https://ror.org/0043mfh16","country_code":"NO","type":"company","lineage":["https://openalex.org/I4210086719"]},{"id":"https://openalex.org/I4210087512","display_name":"Corporaci\u00f3n Universitaria de Colombia Ideas","ror":"https://ror.org/0025p3069","country_code":"CO","type":"education","lineage":["https://openalex.org/I4210087512"]},{"id":"https://openalex.org/I4210160062","display_name":"Innovative Designs in Environments for an Aging Society","ror":"https://ror.org/054s8nj77","country_code":"US","type":"other","lineage":["https://openalex.org/I4210160062"]}],"countries":["CO","NO","PL","US"],"is_corresponding":false,"raw_author_name":"Tomasz Trzci\u0144ski","raw_affiliation_strings":["IDEAS Research Institute","Warsaw University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IDEAS Research Institute","institution_ids":["https://openalex.org/I4210160062","https://openalex.org/I4210086719","https://openalex.org/I4210087512"]},{"raw_affiliation_string":"Warsaw University of Technology","institution_ids":["https://openalex.org/I108403487"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.46846114,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.8331000208854675,"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":0.8331000208854675,"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.8094000220298767,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.7254999876022339},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.574999988079071},{"id":"https://openalex.org/keywords/calorimeter","display_name":"Calorimeter (particle physics)","score":0.5748000144958496},{"id":"https://openalex.org/keywords/large-hadron-collider","display_name":"Large Hadron Collider","score":0.5333999991416931},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.47679999470710754},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.42809998989105225},{"id":"https://openalex.org/keywords/flops","display_name":"FLOPS","score":0.3472999930381775},{"id":"https://openalex.org/keywords/collider","display_name":"Collider","score":0.3440999984741211}],"concepts":[{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.7254999876022339},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6136999726295471},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.574999988079071},{"id":"https://openalex.org/C18073261","wikidata":"https://www.wikidata.org/wiki/Q1722586","display_name":"Calorimeter (particle physics)","level":3,"score":0.5748000144958496},{"id":"https://openalex.org/C87668248","wikidata":"https://www.wikidata.org/wiki/Q40605","display_name":"Large Hadron Collider","level":2,"score":0.5333999991416931},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.47679999470710754},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.42809998989105225},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4178999960422516},{"id":"https://openalex.org/C109214941","wikidata":"https://www.wikidata.org/wiki/Q18334","display_name":"Particle physics","level":1,"score":0.40209999680519104},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.3930000066757202},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.36329999566078186},{"id":"https://openalex.org/C3826847","wikidata":"https://www.wikidata.org/wiki/Q188768","display_name":"FLOPS","level":2,"score":0.3472999930381775},{"id":"https://openalex.org/C152290109","wikidata":"https://www.wikidata.org/wiki/Q2033879","display_name":"Collider","level":2,"score":0.3440999984741211},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.3393999934196472},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3391000032424927},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.3328000009059906},{"id":"https://openalex.org/C2780117330","wikidata":"https://www.wikidata.org/wiki/Q1192186","display_name":"Superconducting Super Collider","level":4,"score":0.3111000061035156},{"id":"https://openalex.org/C55037315","wikidata":"https://www.wikidata.org/wiki/Q5421151","display_name":"Experimental data","level":2,"score":0.29739999771118164},{"id":"https://openalex.org/C183680338","wikidata":"https://www.wikidata.org/wiki/Q736634","display_name":"Particle detector","level":3,"score":0.29600000381469727},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.29510000348091125},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.29159998893737793},{"id":"https://openalex.org/C185544564","wikidata":"https://www.wikidata.org/wiki/Q81197","display_name":"Nuclear physics","level":1,"score":0.28850001096725464},{"id":"https://openalex.org/C2778222013","wikidata":"https://www.wikidata.org/wiki/Q1136926","display_name":"Alice (programming language)","level":2,"score":0.2822999954223633},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.2759000062942505},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.273499995470047},{"id":"https://openalex.org/C2778517922","wikidata":"https://www.wikidata.org/wiki/Q7140482","display_name":"Particle (ecology)","level":2,"score":0.2734000086784363},{"id":"https://openalex.org/C163985040","wikidata":"https://www.wikidata.org/wiki/Q1172399","display_name":"Data acquisition","level":2,"score":0.26010000705718994},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.250900000333786},{"id":"https://openalex.org/C101454708","wikidata":"https://www.wikidata.org/wiki/Q17106019","display_name":"Standard Model (mathematical formulation)","level":3,"score":0.25}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia251042","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia251042","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia251042","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia251042","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Simulating":[0],"detector":[1,163],"responses":[2],"is":[3,71],"a":[4,38,85,103,112,121,133,148,158],"crucial":[5],"part":[6],"of":[7,12,62,115,136],"understanding":[8],"the":[9,16,60,63,68,92,97,116,137,153,173],"inner":[10],"workings":[11],"particle":[13,166],"collisions":[14],"in":[15,96,110,165],"Large":[17],"Hadron":[18],"Collider":[19],"at":[20,169,176],"CERN.":[21,170],"Such":[22],"simulations":[23,164],"are":[24,33],"currently":[25],"performed":[26],"with":[27,75],"statistical":[28],"Monte":[29],"Carlo":[30],"methods,":[31,156],"which":[32,70],"computationally":[34],"expensive":[35],"and":[36,124],"put":[37],"significant":[39,149],"strain":[40],"on":[41,132],"CERN\u2019s":[42],"computational":[43],"grid.":[44],"Therefore,":[45],"recent":[46],"proposals":[47],"advocate":[48],"for":[49,91,120,161],"generative":[50],"machine":[51],"learning":[52,87],"methods":[53],"to":[54,73,152],"enable":[55],"more":[56,122],"efficient":[57,125],"simulations.":[58],"However,":[59],"distribution":[61],"data":[64],"varies":[65],"significantly":[66],"across":[67],"simulations,":[69],"hard":[72],"capture":[74],"out-of-the-box":[76],"methods.":[77],"In":[78],"this":[79],"study,":[80],"we":[81],"present":[82],"ExpertSim":[83,140],"-":[84],"deep":[86],"simulation":[88],"approach":[89],"tailored":[90],"Zero":[93],"Degree":[94],"Calorimeter":[95],"ALICE":[98],"experiment.":[99],"Our":[100],"method":[101],"utilizes":[102],"Mixture-of-Generative-Experts":[104],"architecture,":[105],"where":[106],"each":[107,129],"expert":[108,130],"specializes":[109],"simulating":[111],"different":[113],"subset":[114],"data.":[117],"This":[118],"allows":[119],"precise":[123],"generation":[126],"process,":[127],"as":[128],"focuses":[131],"specific":[134],"aspect":[135],"calorimeter":[138],"response.":[139],"not":[141],"only":[142],"improves":[143],"accuracy,":[144],"but":[145],"also":[146],"provides":[147],"speedup":[150],"compared":[151],"traditional":[154],"Monte-Carlo":[155],"offering":[157],"promising":[159],"solution":[160],"high-efficiency":[162],"physics":[167],"experiments":[168],"We":[171],"make":[172],"code":[174],"available":[175],"https://github.com/patrick-bedkowski/expertsim-mix-of-generative-experts.":[177]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-24T00:00:00"}