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dc.contributor.author
Srivastava, Ankit
dc.contributor.supervisor
Hofmann, Thomas
dc.contributor.supervisor
Lucchi, Aurelien
dc.date.accessioned
2018-11-14T09:26:34Z
dc.date.available
2018-11-14T08:46:11Z
dc.date.available
2018-11-14T09:26:34Z
dc.date.issued
2018-08
dc.identifier.uri
http://hdl.handle.net/20.500.11850/303537
dc.identifier.doi
10.3929/ethz-b-000303537
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
ETH Zurich, Department of Computer Science
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.title
Scalable Generative Models For Cosmology
en_US
dc.type
Master Thesis
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2018-11-14
ethz.size
58 p.
en_US
ethz.publication.place
Zurich
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::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
en_US
ethz.date.deposited
2018-11-14T08:46:23Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2018-11-14T09:27:16Z
ethz.rosetta.lastUpdated
2019-02-03T08:44:01Z
ethz.rosetta.versionExported
true
ethz.COinS
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