{"id":"https://openalex.org/W4392904612","doi":"https://doi.org/10.1109/icassp48485.2024.10446875","title":"Simple Contrastive Representation Learning for Time Series Forecasting","display_name":"Simple Contrastive Representation Learning for Time Series Forecasting","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392904612","doi":"https://doi.org/10.1109/icassp48485.2024.10446875"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10446875","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10446875","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 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/A5101877050","display_name":"Xiaochen Zheng","orcid":"https://orcid.org/0000-0003-1506-3314"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xiaochen Zheng","raw_affiliation_strings":["University of Zürich","ETH AI Center"],"affiliations":[{"raw_affiliation_string":"University of Zürich","institution_ids":[]},{"raw_affiliation_string":"ETH AI Center","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108167803","display_name":"Xingyu Chen","orcid":"https://orcid.org/0000-0003-3627-0371"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xingyu Chen","raw_affiliation_strings":["ETH Zürich"],"affiliations":[{"raw_affiliation_string":"ETH Zürich","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071722406","display_name":"Manuel Sch\u00fcrch","orcid":"https://orcid.org/0000-0003-2175-2511"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Manuel Sch\u00fcrch","raw_affiliation_strings":["University of Zürich"],"affiliations":[{"raw_affiliation_string":"University of Zürich","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027560770","display_name":"Amina Mollaysa","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Amina Mollaysa","raw_affiliation_strings":["University of Zürich"],"affiliations":[{"raw_affiliation_string":"University of Zürich","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101601736","display_name":"Ahmed Allam","orcid":"https://orcid.org/0000-0002-3648-9288"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ahmed Allam","raw_affiliation_strings":["University of Zürich"],"affiliations":[{"raw_affiliation_string":"University of Zürich","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025057284","display_name":"Michael Krauthammer","orcid":"https://orcid.org/0000-0002-4808-1845"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michael Krauthammer","raw_affiliation_strings":["University of Zürich","ETH AI Center"],"affiliations":[{"raw_affiliation_string":"University of Zürich","institution_ids":[]},{"raw_affiliation_string":"ETH AI Center","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101877050"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.524,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.96570914,"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":"6005","last_page":"6009"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9965999722480774,"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"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9965999722480774,"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"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9664000272750854,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.954800009727478,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.7231508493423462},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.700096845626831},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6703650951385498},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6346341967582703},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6311028599739075},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5746952295303345},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5516970753669739},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.5019924640655518},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.47702547907829285}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7231508493423462},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.700096845626831},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6703650951385498},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6346341967582703},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6311028599739075},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5746952295303345},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5516970753669739},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.5019924640655518},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.47702547907829285},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp48485.2024.10446875","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10446875","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:doi:10.5167/uzh-276453","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W2149292156","https://openalex.org/W2604847698","https://openalex.org/W2792764867","https://openalex.org/W2798991696","https://openalex.org/W2842511635","https://openalex.org/W2980994438","https://openalex.org/W3005680577","https://openalex.org/W3026092005","https://openalex.org/W3035060554","https://openalex.org/W3169212847","https://openalex.org/W3169661950","https://openalex.org/W3171007011","https://openalex.org/W3177318507","https://openalex.org/W3199148273","https://openalex.org/W4225271014","https://openalex.org/W4225501139","https://openalex.org/W4226362568","https://openalex.org/W4281752007","https://openalex.org/W4283463819","https://openalex.org/W4287775015","https://openalex.org/W4297808394","https://openalex.org/W4372267199","https://openalex.org/W4372342073","https://openalex.org/W4382203079","https://openalex.org/W4382239668","https://openalex.org/W6749825310","https://openalex.org/W6774314701","https://openalex.org/W6777179611","https://openalex.org/W6779326418","https://openalex.org/W6785972966","https://openalex.org/W6788705105","https://openalex.org/W6790850890","https://openalex.org/W6810698223","https://openalex.org/W6811289536","https://openalex.org/W6838755211","https://openalex.org/W6838894381","https://openalex.org/W6849157316"],"related_works":["https://openalex.org/W1585007175","https://openalex.org/W2382521049","https://openalex.org/W2144385241","https://openalex.org/W4300101996","https://openalex.org/W2165950148","https://openalex.org/W4253593777","https://openalex.org/W2119012848","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":{"Contrastive":[0],"learning":[1,56,64,106,131],"methods":[2,20],"have":[3],"shown":[4],"an":[5],"impressive":[6],"ability":[7],"to":[8,37,65,128],"learn":[9],"meaningful":[10],"representations":[11],"for":[12,24,58,109,133],"image":[13],"or":[14,88],"time":[15,25,60,94,110,134],"series":[16,26,61,111,135],"classification.":[17],"However,":[18],"these":[19,48],"are":[21],"less":[22],"effective":[23],"forecasting,":[27],"as":[28],"optimization":[29],"of":[30,91,102],"instance":[31],"discrimination":[32],"is":[33,124],"not":[34,83],"directly":[35],"applicable":[36],"predicting":[38],"the":[39,43,67,70,73,100,103],"future":[40,68],"state":[41],"from":[42,69],"historical":[44],"context.":[45],"To":[46],"address":[47],"limitations,":[49],"we":[50,98],"propose":[51],"SimTS,":[52],"a":[53,92,114,125],"simple":[54],"representation":[55],"approach":[57],"improving":[59],"forecasting":[62,112],"by":[63],"predict":[66],"past":[71],"in":[72],"latent":[74],"space.":[75],"SimTS":[76,123],"exclusively":[77],"uses":[78],"positive":[79],"pairs":[80,87],"and":[81],"does":[82],"depend":[84],"on":[85],"negative":[86],"specific":[89],"characteristics":[90],"given":[93],"series.":[95],"In":[96],"addition,":[97],"show":[99],"shortcomings":[101],"current":[104],"contrastive":[105,130],"framework":[107],"used":[108],"through":[113],"detailed":[115],"ablation":[116],"study.":[117],"Overall,":[118],"our":[119],"work":[120],"suggests":[121],"that":[122],"promising":[126],"alternative":[127],"other":[129],"approaches":[132],"forecasting.":[136]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}