Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/213977
DC FieldValue
dc.titleDeep Explicit Duration Switching Models for Time Series
dc.contributor.authorAnsari, Abdul Fatir
dc.contributor.authorBenidis, Konstantinos
dc.contributor.authorKurle, Richard
dc.contributor.authorAli Caner, Turkmen
dc.contributor.authorSoh, Soon Hong Harold
dc.contributor.authorSmola, Alexander
dc.contributor.authorWang, Bernie
dc.contributor.authorJanuschowski, Tim
dc.date.accessioned2022-01-19T01:08:33Z
dc.date.available2022-01-19T01:08:33Z
dc.date.issued2021-12-06
dc.identifier.citationAnsari, Abdul Fatir, Benidis, Konstantinos, Kurle, Richard, Ali Caner, Turkmen, Soh, Soon Hong Harold, Smola, Alexander, Wang, Bernie, Januschowski, Tim (2021-12-06). Deep Explicit Duration Switching Models for Time Series. Neural Information Processing Systems (NeurIPS) 34. ScholarBank@NUS Repository.
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/213977
dc.sourceElements
dc.typeConference Paper
dc.date.updated2022-01-18T10:30:47Z
dc.contributor.departmentDEPT OF COMPUTER SCIENCE
dc.description.sourcetitleNeural Information Processing Systems (NeurIPS)
dc.description.volume34
dc.published.statePublished
Appears in Collections:Staff Publications
Elements

Show simple item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
NeurIPS-2021-deep-explicit-duration-switching-models-for-time-series-Paper.pdfPublished version581.3 kBAdobe PDF

OPEN

PublishedView/Download

Page view(s)

88
checked on Feb 2, 2023

Download(s)

2
checked on Feb 2, 2023

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.