{"id":"https://openalex.org/W4408355024","doi":"https://doi.org/10.1109/icassp49660.2025.10888728","title":"Autoregressive Density Estimation Transformers for Multivariate Time Series Anomaly Detection","display_name":"Autoregressive Density Estimation Transformers for Multivariate Time Series Anomaly Detection","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408355024","doi":"https://doi.org/10.1109/icassp49660.2025.10888728"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10888728","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888728","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5075188655","display_name":"Mohammed Ayalew Belay","orcid":"https://orcid.org/0000-0003-2144-9790"},"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":"Mohammed Ayalew Belay","raw_affiliation_strings":["Norwegian University of Science and Technology,Department of Electronic Systems,Trondheim,Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Norwegian University of Science and Technology,Department of Electronic Systems,Trondheim,Norway","institution_ids":["https://openalex.org/I204778367"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032407979","display_name":"Adil Rasheed","orcid":"https://orcid.org/0000-0003-2690-983X"},"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":"Adil Rasheed","raw_affiliation_strings":["Norwegian University of Science and Technology,Department of Engineering Cybernetics,Trondheim,Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Norwegian University of Science and Technology,Department of Engineering Cybernetics,Trondheim,Norway","institution_ids":["https://openalex.org/I204778367"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044813487","display_name":"Pierluigi Salvo Rossi","orcid":"https://orcid.org/0000-0001-6834-8482"},"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":"Pierluigi Salvo Rossi","raw_affiliation_strings":["Norwegian University of Science and Technology,Department of Electronic Systems,Trondheim,Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Norwegian University of Science and Technology,Department of Electronic Systems,Trondheim,Norway","institution_ids":["https://openalex.org/I204778367"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":10.5526,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.97785507,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9968000054359436,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9968000054359436,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9404000043869019,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9355999827384949,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/autoregressive-model","display_name":"Autoregressive model","score":0.7479010224342346},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.6113824248313904},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.5725902318954468},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5502538681030273},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.543631374835968},{"id":"https://openalex.org/keywords/star-model","display_name":"STAR model","score":0.4802325367927551},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4796757698059082},{"id":"https://openalex.org/keywords/autoregressive-integrated-moving-average","display_name":"Autoregressive integrated moving average","score":0.4641004800796509},{"id":"https://openalex.org/keywords/density-estimation","display_name":"Density estimation","score":0.4532313644886017},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.429238498210907},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3404526710510254},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3053537607192993},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24966838955879211},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2257218360900879},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14490288496017456},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.060558825731277466}],"concepts":[{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.7479010224342346},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.6113824248313904},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.5725902318954468},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5502538681030273},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.543631374835968},{"id":"https://openalex.org/C194657046","wikidata":"https://www.wikidata.org/wiki/Q7394685","display_name":"STAR model","level":4,"score":0.4802325367927551},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4796757698059082},{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.4641004800796509},{"id":"https://openalex.org/C189508267","wikidata":"https://www.wikidata.org/wiki/Q17088227","display_name":"Density estimation","level":3,"score":0.4532313644886017},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.429238498210907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3404526710510254},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3053537607192993},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24966838955879211},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2257218360900879},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14490288496017456},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.060558825731277466},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10888728","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888728","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1966809779","https://openalex.org/W2004026774","https://openalex.org/W2122053769","https://openalex.org/W2142960677","https://openalex.org/W2158958729","https://openalex.org/W2403816530","https://openalex.org/W2407991977","https://openalex.org/W2604247107","https://openalex.org/W2768947629","https://openalex.org/W2945434604","https://openalex.org/W2962946304","https://openalex.org/W3040266635","https://openalex.org/W3128634608","https://openalex.org/W3169450514","https://openalex.org/W4283318673","https://openalex.org/W4323314880","https://openalex.org/W4396782935","https://openalex.org/W4401110561","https://openalex.org/W4402508106","https://openalex.org/W4405518113"],"related_works":["https://openalex.org/W2439807930","https://openalex.org/W2009692134","https://openalex.org/W1972271943","https://openalex.org/W2019155478","https://openalex.org/W2024529895","https://openalex.org/W2168175994","https://openalex.org/W1902630399","https://openalex.org/W2120434453","https://openalex.org/W3120578569","https://openalex.org/W1487412319"],"abstract_inverted_index":{"Anomaly":[0],"detection":[1],"in":[2,12,19,95],"multivariate":[3],"time":[4],"series":[5],"(MTS)":[6],"from":[7],"sensor":[8],"data":[9],"is":[10],"critical":[11],"many":[13],"industrial":[14],"applications.":[15,45],"The":[16],"challenge":[17],"lies":[18],"managing":[20],"massive":[21],"unlabeled":[22],"datasets":[23],"with":[24,69],"complex":[25],"spatio-temporal":[26,67],"correlations,":[27],"diverse":[28],"anomalies,":[29],"and":[30,81,107],"noise.":[31],"While":[32],"several":[33,105],"unsupervised":[34],"methods":[35],"have":[36],"been":[37],"proposed,":[38],"they":[39],"are":[40],"often":[41],"limited":[42],"to":[43,112],"specific":[44],"In":[46],"this":[47],"paper,":[48],"we":[49],"introduce":[50],"a":[51],"probabilistic":[52],"self-supervised":[53],"framework,":[54],"Autoregressive":[55],"Density":[56],"Estimation":[57],"Transformer":[58],"(ADET).":[59],"ADET":[60,84],"integrates":[61],"an":[62,96,109],"efficient":[63],"transformer":[64],"for":[65,73],"learning":[66],"representations":[68],"density":[70],"estimation":[71],"networks":[72],"multi-score":[74],"anomaly":[75],"detection,":[76],"focusing":[77],"on":[78],"point-to-point,":[79],"point-to-distribution,":[80],"distribution-to-distribution":[82],"distances.":[83],"improves":[85],"noise":[86],"resilience":[87],"using":[88],"optimal":[89],"truncated":[90],"singular":[91],"value":[92],"decomposition":[93],"(OT-SVD)":[94],"end-to-end":[97],"optimization":[98],"process.":[99],"We":[100],"conducted":[101],"experiments":[102],"by":[103],"employing":[104],"encoders":[106],"performed":[108],"ablation":[110],"study":[111],"examine":[113],"the":[114],"effect":[115],"of":[116],"OT-SVD.":[117]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
