{"id":"https://openalex.org/W4384155829","doi":"https://doi.org/10.1088/2632-2153/ace756","title":"Anomaly detection in aeronautics data with quantum-compatible discrete deep generative model","display_name":"Anomaly detection in aeronautics data with quantum-compatible discrete deep generative model","publication_year":2023,"publication_date":"2023-07-13","ids":{"openalex":"https://openalex.org/W4384155829","doi":"https://doi.org/10.1088/2632-2153/ace756"},"language":"en","primary_location":{"id":"doi:10.1088/2632-2153/ace756","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ace756","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/ace756/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://iopscience.iop.org/article/10.1088/2632-2153/ace756/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032225255","display_name":"Thomas J. Templin","orcid":"https://orcid.org/0000-0001-5936-0009"},"institutions":[{"id":"https://openalex.org/I4210124779","display_name":"National Aeronautics and Space Administration","ror":"https://ror.org/027ka1x80","country_code":"US","type":"government","lineage":["https://openalex.org/I4210124779"]},{"id":"https://openalex.org/I1280536761","display_name":"Ames Research Center","ror":"https://ror.org/02acart68","country_code":"US","type":"facility","lineage":["https://openalex.org/I1280536761","https://openalex.org/I4210124779"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Thomas Templin","raw_affiliation_strings":["Intelligent Systems, National Aeronautics and Space Administration, NASA Ames Research Center, M/S 269-3, Moffett Field, California, 94035, UNITED STATES"],"affiliations":[{"raw_affiliation_string":"Intelligent Systems, National Aeronautics and Space Administration, NASA Ames Research Center, M/S 269-3, Moffett Field, California, 94035, UNITED STATES","institution_ids":["https://openalex.org/I1280536761","https://openalex.org/I4210124779"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001542628","display_name":"Milad Memarzadeh","orcid":"https://orcid.org/0000-0001-7672-6033"},"institutions":[{"id":"https://openalex.org/I1329765538","display_name":"Universities Space Research Association","ror":"https://ror.org/043pgqy52","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1329765538"]},{"id":"https://openalex.org/I1280536761","display_name":"Ames Research Center","ror":"https://ror.org/02acart68","country_code":"US","type":"facility","lineage":["https://openalex.org/I1280536761","https://openalex.org/I4210124779"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Milad Memarzadeh","raw_affiliation_strings":["Data Sciences, Universities Space Research Association, NASA Ames Research Center, Moffett Field, California, 90435, UNITED STATES"],"affiliations":[{"raw_affiliation_string":"Data Sciences, Universities Space Research Association, NASA Ames Research Center, Moffett Field, California, 90435, UNITED STATES","institution_ids":["https://openalex.org/I1329765538","https://openalex.org/I1280536761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064549147","display_name":"Walter Vinci","orcid":"https://orcid.org/0000-0002-1143-0503"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Walter Vinci","raw_affiliation_strings":["SCDS, HP, Edificio Zarzuela, C/ Julia Morros 1, Pq. Tecnol\u00f3gico de Le\u00f3n, Le\u00f3n, 24009, SPAIN"],"affiliations":[{"raw_affiliation_string":"SCDS, HP, Edificio Zarzuela, C/ Julia Morros 1, Pq. Tecnol\u00f3gico de Le\u00f3n, Le\u00f3n, 24009, SPAIN","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087496945","display_name":"P. Aaron Lott","orcid":"https://orcid.org/0000-0002-9718-9641"},"institutions":[{"id":"https://openalex.org/I1329765538","display_name":"Universities Space Research Association","ror":"https://ror.org/043pgqy52","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1329765538"]},{"id":"https://openalex.org/I1280536761","display_name":"Ames Research Center","ror":"https://ror.org/02acart68","country_code":"US","type":"facility","lineage":["https://openalex.org/I1280536761","https://openalex.org/I4210124779"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"P Aaron Lott","raw_affiliation_strings":["Quantum Artificial Intelligence Laboratory, Universities Space Research Association, NASA Ames Research Center, Moffett Field, California, 90435, UNITED STATES"],"affiliations":[{"raw_affiliation_string":"Quantum Artificial Intelligence Laboratory, Universities Space Research Association, NASA Ames Research Center, Moffett Field, California, 90435, UNITED STATES","institution_ids":["https://openalex.org/I1280536761","https://openalex.org/I1329765538"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024715871","display_name":"Ata Akbari Asanjan","orcid":"https://orcid.org/0000-0002-8691-8212"},"institutions":[{"id":"https://openalex.org/I1329765538","display_name":"Universities Space Research Association","ror":"https://ror.org/043pgqy52","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1329765538"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ata Akbari Asanjan","raw_affiliation_strings":["Data Sciences, Universities Space Research Association, 615 National Ave., Mountain View, California, 94043, UNITED STATES"],"affiliations":[{"raw_affiliation_string":"Data Sciences, Universities Space Research Association, 615 National Ave., Mountain View, California, 94043, UNITED STATES","institution_ids":["https://openalex.org/I1329765538"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026220803","display_name":"Anthony Alexiades Armenakas","orcid":null},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anthony Alexiades Armenakas","raw_affiliation_strings":["Department of Physics, Harvard University, 17 Oxford Street, Cambridge, Massachusetts, 02138, UNITED STATES"],"affiliations":[{"raw_affiliation_string":"Department of Physics, Harvard University, 17 Oxford Street, Cambridge, Massachusetts, 02138, UNITED STATES","institution_ids":["https://openalex.org/I136199984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023002743","display_name":"Eleanor Rieffel","orcid":"https://orcid.org/0009-0005-2957-9372"},"institutions":[{"id":"https://openalex.org/I4210124779","display_name":"National Aeronautics and Space Administration","ror":"https://ror.org/027ka1x80","country_code":"US","type":"government","lineage":["https://openalex.org/I4210124779"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eleanor Rieffel","raw_affiliation_strings":["NASA Advanced Supercomputing (NAS) Division, National Aeronautics and Space Administration, Code TN, Moffett Field, California, 94035, UNITED STATES"],"affiliations":[{"raw_affiliation_string":"NASA Advanced Supercomputing (NAS) Division, National Aeronautics and Space Administration, Code TN, Moffett Field, California, 94035, UNITED STATES","institution_ids":["https://openalex.org/I4210124779"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5032225255"],"corresponding_institution_ids":["https://openalex.org/I1280536761","https://openalex.org/I4210124779"],"apc_list":{"value":1600,"currency":"GBP","value_usd":1962},"apc_paid":{"value":1600,"currency":"GBP","value_usd":1962},"fwci":1.0004,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.73492412,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"4","issue":"3","first_page":"035018","last_page":"035018"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12261","display_name":"Statistical Mechanics and Entropy","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12261","display_name":"Statistical Mechanics and Entropy","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9937000274658203,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9922999739646912,"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/boltzmann-machine","display_name":"Boltzmann machine","score":0.8155975341796875},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7516616582870483},{"id":"https://openalex.org/keywords/restricted-boltzmann-machine","display_name":"Restricted Boltzmann machine","score":0.6531370282173157},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.6228758692741394},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6219719648361206},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.595696747303009},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.5601849555969238},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.49276044964790344},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47961387038230896},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.47067174315452576},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.47017544507980347},{"id":"https://openalex.org/keywords/bernoullis-principle","display_name":"Bernoulli's principle","score":0.4688974916934967},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.43439358472824097},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40669721364974976},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38550907373428345},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.23571863770484924},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10987985134124756}],"concepts":[{"id":"https://openalex.org/C192576344","wikidata":"https://www.wikidata.org/wiki/Q194706","display_name":"Boltzmann machine","level":3,"score":0.8155975341796875},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7516616582870483},{"id":"https://openalex.org/C199354608","wikidata":"https://www.wikidata.org/wiki/Q7316287","display_name":"Restricted Boltzmann machine","level":3,"score":0.6531370282173157},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.6228758692741394},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6219719648361206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.595696747303009},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.5601849555969238},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.49276044964790344},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47961387038230896},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.47067174315452576},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.47017544507980347},{"id":"https://openalex.org/C152361515","wikidata":"https://www.wikidata.org/wiki/Q181328","display_name":"Bernoulli's principle","level":2,"score":0.4688974916934967},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.43439358472824097},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40669721364974976},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38550907373428345},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.23571863770484924},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10987985134124756},{"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/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1088/2632-2153/ace756","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ace756","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/ace756/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:55bd30e2583e4674b52eab9e6be76b29","is_oa":true,"landing_page_url":"https://doaj.org/article/55bd30e2583e4674b52eab9e6be76b29","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Machine Learning: Science and Technology, Vol 4, Iss 3, p 035018 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1088/2632-2153/ace756","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ace756","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/ace756/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7098565209","display_name":null,"funder_award_id":"CCF-1918549","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7287894000","display_name":null,"funder_award_id":"295670.01.22.21.11","funder_id":"https://openalex.org/F4320332374","funder_display_name":"Ames Research Center"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332374","display_name":"Ames Research Center","ror":"https://ror.org/02acart68"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4384155829.pdf"},"referenced_works_count":109,"referenced_works":["https://openalex.org/W44815768","https://openalex.org/W1522301498","https://openalex.org/W1779483307","https://openalex.org/W1813659000","https://openalex.org/W1959608418","https://openalex.org/W1993845689","https://openalex.org/W2018168021","https://openalex.org/W2025768430","https://openalex.org/W2046765929","https://openalex.org/W2099866409","https://openalex.org/W2100495367","https://openalex.org/W2103819961","https://openalex.org/W2116064496","https://openalex.org/W2116825644","https://openalex.org/W2119717200","https://openalex.org/W2136922672","https://openalex.org/W2150529939","https://openalex.org/W2184970173","https://openalex.org/W2234450295","https://openalex.org/W2242818861","https://openalex.org/W2547875792","https://openalex.org/W2548228487","https://openalex.org/W2577946330","https://openalex.org/W2608412030","https://openalex.org/W2739748921","https://openalex.org/W2753738274","https://openalex.org/W2775599538","https://openalex.org/W2784994528","https://openalex.org/W2785399333","https://openalex.org/W2786695185","https://openalex.org/W2808470413","https://openalex.org/W2902758299","https://openalex.org/W2919115771","https://openalex.org/W2948978827","https://openalex.org/W2950361482","https://openalex.org/W2951493172","https://openalex.org/W2952264928","https://openalex.org/W2962736999","https://openalex.org/W2962808998","https://openalex.org/W2963166639","https://openalex.org/W2963675378","https://openalex.org/W2964201867","https://openalex.org/W2986113209","https://openalex.org/W2987821246","https://openalex.org/W3013117577","https://openalex.org/W3017266184","https://openalex.org/W3032975527","https://openalex.org/W3034597136","https://openalex.org/W3040214011","https://openalex.org/W3048044234","https://openalex.org/W3098768946","https://openalex.org/W3098957257","https://openalex.org/W3101549158","https://openalex.org/W3104014430","https://openalex.org/W3119280808","https://openalex.org/W3152030785","https://openalex.org/W3175514463","https://openalex.org/W3195546828","https://openalex.org/W4283374259","https://openalex.org/W4293415974","https://openalex.org/W4294568686","https://openalex.org/W4294623686","https://openalex.org/W4298289240","https://openalex.org/W4396738453","https://openalex.org/W6601785968","https://openalex.org/W6631190155","https://openalex.org/W6637568146","https://openalex.org/W6638116569","https://openalex.org/W6638304892","https://openalex.org/W6640963894","https://openalex.org/W6641939000","https://openalex.org/W6657028776","https://openalex.org/W6674832674","https://openalex.org/W6675335134","https://openalex.org/W6677488779","https://openalex.org/W6677929280","https://openalex.org/W6682311137","https://openalex.org/W6686923012","https://openalex.org/W6690026940","https://openalex.org/W6692031191","https://openalex.org/W6714590955","https://openalex.org/W6715501732","https://openalex.org/W6726945602","https://openalex.org/W6729448088","https://openalex.org/W6730091202","https://openalex.org/W6732248266","https://openalex.org/W6732249622","https://openalex.org/W6741832134","https://openalex.org/W6744627333","https://openalex.org/W6745515306","https://openalex.org/W6747191120","https://openalex.org/W6748117641","https://openalex.org/W6752145142","https://openalex.org/W6752471737","https://openalex.org/W6756052569","https://openalex.org/W6756566696","https://openalex.org/W6763808890","https://openalex.org/W6763983347","https://openalex.org/W6770357602","https://openalex.org/W6775168144","https://openalex.org/W6775997807","https://openalex.org/W6779204996","https://openalex.org/W6779403853","https://openalex.org/W6785131241","https://openalex.org/W6788517137","https://openalex.org/W6794060126","https://openalex.org/W6797465685","https://openalex.org/W7018576205","https://openalex.org/W7071610064"],"related_works":["https://openalex.org/W4283272532","https://openalex.org/W2916681395","https://openalex.org/W2952018105","https://openalex.org/W2119341610","https://openalex.org/W2556473569","https://openalex.org/W4302433642","https://openalex.org/W1575733688","https://openalex.org/W2529583158","https://openalex.org/W4360831753","https://openalex.org/W2808857225"],"abstract_inverted_index":{"Abstract":[0],"Deep":[1],"generative":[2,46,249,275],"learning":[3],"cannot":[4],"only":[5],"be":[6,213,266],"used":[7],"for":[8,21,99,156],"generating":[9],"new":[10,219],"data":[11,18],"with":[12,50,70,76,83,89,144,176,195,251,262,269],"statistical":[13],"characteristics":[14],"derived":[15],"from":[16,283],"input":[17],"but":[19,199,210],"also":[20],"anomaly":[22,198,229,238],"detection,":[23],"by":[24,215,272],"separating":[25],"nominal":[26],"and":[27,53,81,105,173,231],"anomalous":[28],"instances":[29],"based":[30,112],"on":[31,113,174,217,255],"their":[32],"reconstruction":[33],"quality.":[34],"In":[35],"this":[36],"paper,":[37],"we":[38],"explore":[39],"the":[40,97,107,121,129,139,157,160,170,177,196,218,237,243,259],"performance":[41,211],"of":[42,62,96,109,123,159,188,202,228,233,245,279],"three":[43],"unsupervised":[44],"deep":[45,248],"models\u2014variational":[47],"autoencoders":[48],"(VAEs)":[49],"Gaussian,":[51],"Bernoulli,":[52],"Boltzmann":[54,86],"priors\u2014in":[55],"detecting":[56,167],"anomalies":[57,168],"in":[58,102,138,166],"multivariate":[59],"time":[60],"series":[61],"commercial-flight":[63],"operations.":[64],"We":[65],"created":[66],"two":[67],"VAE":[68],"models":[69,101,134],"discrete":[71,247],"latent":[72,184],"variables":[73],"(DVAEs),":[74],"one":[75,82],"a":[77,84,148,182,189,246,284],"factorized":[78],"Bernoulli":[79,171],"prior":[80,264],"restricted":[85],"machine":[87],"(RBM)":[88],"novel":[90],"positive-phase":[91],"architecture":[92],"as":[93],"prior,":[94,146],"because":[95,106],"demand":[98],"discrete-variable":[100],"machine-learning":[103],"applications":[104],"integration":[108],"quantum":[110,115,270,280,285],"devices":[111],"two-level":[114],"systems":[116],"requires":[117],"such":[118],"models.":[119],"To":[120],"best":[122],"our":[124,126],"knowledge,":[125],"work":[127],"is":[128],"first":[130],"that":[131],"applies":[132],"DVAE":[133,143,172,260],"to":[135,191,226,277],"anomaly-detection":[136,208,256],"tasks":[137],"aerospace":[140],"field.":[141],"The":[142,186,221],"RBM":[145,222,263],"using":[147],"relatively":[149],"simple\u2014and":[150],"classically":[151],"or":[152,204,287],"quantum-mechanically":[153],"enhanceable\u2014sampling":[154],"technique":[155],"evolution":[158],"RBM\u2019s":[161],"negative":[162],"phase,":[163],"performed":[164],"better":[165],"than":[169],"par":[175],"Gaussian":[178,253],"model,":[179],"which":[180,236],"has":[181],"continuous":[183],"space.":[185],"transfer":[187],"model":[190,223,250,261],"an":[192],"unseen":[193],"dataset":[194],"same":[197],"without":[200],"re-tuning":[201],"hyperparameters":[203],"re-training":[205],"noticeably":[206],"impaired":[207],"performance,":[209],"could":[212],"improved":[214],"post-training":[216],"dataset.":[220],"was":[224],"robust":[225],"change":[227],"type":[230],"phase":[232],"flight":[234],"during":[235],"occurred.":[239],"Our":[240],"studies":[241],"demonstrate":[242],"competitiveness":[244],"its":[252,274],"counterpart":[254],"problems.":[257],"Moreover,":[258],"can":[265],"easily":[267],"integrated":[268],"sampling":[271],"outsourcing":[273],"process":[276],"measurements":[278],"states":[281],"obtained":[282],"annealer":[286],"gate-model":[288],"device.":[289]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4}],"updated_date":"2026-01-25T23:04:38.658462","created_date":"2025-10-10T00:00:00"}
