{"id":"https://openalex.org/W7130721633","doi":"https://doi.org/10.48550/arxiv.2602.17634","title":"Reverso: Efficient Time Series Foundation Models for Zero-shot Forecasting","display_name":"Reverso: Efficient Time Series Foundation Models for Zero-shot Forecasting","publication_year":2026,"publication_date":"2026-02-19","ids":{"openalex":"https://openalex.org/W7130721633","doi":"https://doi.org/10.48550/arxiv.2602.17634"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.17634","is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5126500664","display_name":"Xinghong Fu","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Fu, Xinghong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126465485","display_name":"Yanhong Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Yanhong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064145587","display_name":"\u0393\u03b5\u03ce\u03c1\u03b3\u03b9\u03bf\u03c2 \u03a0\u03b1\u03c0\u03b1\u03ca\u03c9\u03ac\u03bd\u03bd\u03bf\u03c5","orcid":"https://orcid.org/0000-0002-5233-637X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Papaioannou, Georgios","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5126465560","display_name":"Yoon Kim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kim, Yoon","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5126500664"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.30379998683929443,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.30379998683929443,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.20649999380111694,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.10339999943971634,"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/series","display_name":"Series (stratigraphy)","score":0.65420001745224},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5641000270843506},{"id":"https://openalex.org/keywords/foundation","display_name":"Foundation (evidence)","score":0.5630999803543091},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4124999940395355},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.3183000087738037}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6552000045776367},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.65420001745224},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5641000270843506},{"id":"https://openalex.org/C2780966255","wikidata":"https://www.wikidata.org/wiki/Q5474306","display_name":"Foundation (evidence)","level":2,"score":0.5630999803543091},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41780000925064087},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4124999940395355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4074999988079071},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.3183000087738037},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.3138999938964844},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.2702000141143799},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2689000070095062}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.17634","is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.17634","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.17634","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.17634","is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Learning":[0],"time":[1,15,20,48,60,94,164],"series":[2,16,21,49,61,95,165],"foundation":[3,34,50,62,90,166],"models":[4,35,63,91,113,133,167],"has":[5,26,52,57],"been":[6,27],"shown":[7],"to":[8,77],"be":[9],"a":[10,28,84,138,160],"promising":[11],"approach":[12],"for":[13,87,92,168],"zero-shot":[14,93,169],"forecasting":[17,96,170],"across":[18],"diverse":[19],"domains.":[22],"Insofar":[23],"as":[24,40],"scaling":[25],"critical":[29],"driver":[30],"of":[31,33,66,68,100,130,162],"performance":[32,129],"in":[36,59,79,158],"other":[37],"modalities":[38],"such":[39],"language":[41],"and":[42,75,118,148],"vision,":[43],"much":[44],"recent":[45],"work":[46],"on":[47,54],"modeling":[51],"focused":[53],"scaling.":[55],"This":[56,81,155],"resulted":[58],"with":[64],"hundreds":[65],"millions":[67],"parameters":[69],"that":[70,97,105,114,151,171],"are,":[71],"while":[72,134],"performant,":[73],"inefficient":[74],"expensive":[76],"use":[78],"practice.":[80],"paper":[82],"describes":[83],"simple":[85],"recipe":[86,156],"learning":[88],"efficient":[89,163],"are":[98,108],"orders":[99],"magnitude":[101],"smaller.":[102,141],"We":[103,142],"show":[104],"large-scale":[106],"transformers":[107],"not":[109],"necessary:":[110],"small":[111],"hybrid":[112],"interleave":[115],"long":[116],"convolution":[117],"linear":[119],"RNN":[120],"layers":[121],"(in":[122],"particular":[123],"DeltaNet":[124],"layers)":[125],"can":[126],"match":[127],"the":[128,174],"larger":[131],"transformer-based":[132],"being":[135],"more":[136],"than":[137],"hundred":[139],"times":[140],"also":[143],"describe":[144],"several":[145],"data":[146],"augmentation":[147],"inference":[149],"strategies":[150],"further":[152],"improve":[153],"performance.":[154],"results":[157],"Reverso,":[159],"family":[161],"significantly":[172],"push":[173],"performance-efficiency":[175],"Pareto":[176],"frontier.":[177]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-02-21T00:00:00"}
