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dc.contributor.author
Schmidt, Florian
dc.contributor.author
Hofmann, Thomas
dc.contributor.editor
Bengio, Samy
dc.contributor.editor
Wallach, Hanna M.
dc.contributor.editor
Larochelle, Hugo
dc.contributor.editor
Grauman, Kristen
dc.contributor.editor
Cesa-Bianchi, Nicolò
dc.contributor.editor
Garnett, Roman
dc.date.accessioned
2019-08-27T11:13:41Z
dc.date.available
2019-04-12T06:40:29Z
dc.date.available
2019-08-27T11:13:41Z
dc.date.issued
2019
dc.identifier.isbn
978-1-5108-8447-2
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/337699
dc.identifier.doi
10.3929/ethz-b-000310312
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Curran
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.title
Deep state space models for unconditional word generation
en_US
dc.type
Conference Paper
dc.rights.license
In Copyright - Non-Commercial Use Permitted
ethz.book.title
Advances in Neural Information Processing Systems 31
en_US
ethz.pages.start
6158
en_US
ethz.pages.end
6168
en_US
ethz.size
12 p.
en_US
ethz.version.deposit
acceptedVersion
en_US
ethz.event
32nd Annual Conference on Neural Information Processing Systems (NeurIPS 2018)
en_US
ethz.event.location
Montreal, Canada
en_US
ethz.event.date
December 3-8, 2018
en_US
ethz.notes
Poster presentation
en_US
ethz.identifier.wos
ethz.publication.place
Red Hook, NY
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02661 - Institut für Maschinelles Lernen / Institute for Machine Learning
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02661 - Institut für Maschinelles Lernen / Institute for Machine Learning::09462 - Hofmann, Thomas / Hofmann, Thomas
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02661 - Institut für Maschinelles Lernen / Institute for Machine Learning::09462 - Hofmann, Thomas / Hofmann, Thomas
ethz.identifier.url
https://papers.nips.cc/paper/7854-deep-state-space-models-for-unconditional-word-generation
ethz.date.deposited
2018-12-12T11:58:34Z
ethz.source
WOS
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2019-08-27T11:13:49Z
ethz.rosetta.lastUpdated
2019-08-27T11:13:49Z
ethz.rosetta.versionExported
true
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/337119
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/310312
ethz.COinS
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