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dc.contributor.author
Wiatowski, Thomas
dc.contributor.author
Grohs, Philipp
dc.contributor.author
Bölcskei, Helmut
dc.date.accessioned
2018-11-16T10:33:48Z
dc.date.available
2017-10-19T02:06:52Z
dc.date.available
2017-11-07T13:39:20Z
dc.date.available
2018-07-05T13:32:09Z
dc.date.available
2018-11-16T10:33:48Z
dc.date.issued
2018-07
dc.identifier.issn
0018-9448
dc.identifier.issn
1557-9654
dc.identifier.other
10.1109/TIT.2017.2756880
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/197684
dc.language.iso
en
en_US
dc.publisher
IEEE
en_US
dc.subject
Machine learning
en_US
dc.subject
deep convolutional neural networks
en_US
dc.subject
scattering networks
en_US
dc.subject
energy decay and conservation
en_US
dc.subject
Frame theory
en_US
dc.title
Energy propagation in deep convolutional neural networks
en_US
dc.type
Journal Article
dc.date.published
2017-09-26
ethz.journal.title
IEEE Transactions on Information Theory
ethz.journal.volume
64
en_US
ethz.journal.issue
7
en_US
ethz.journal.abbreviated
IEEE trans. inf. theory
ethz.pages.start
4819
en_US
ethz.pages.end
4842
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
New York, NY
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::03610 - Boelcskei, Helmut / Boelcskei, Helmut
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::03610 - Boelcskei, Helmut / Boelcskei, Helmut
ethz.date.deposited
2017-10-19T02:06:54Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2018-07-05T13:32:20Z
ethz.rosetta.lastUpdated
2020-02-15T15:56:49Z
ethz.rosetta.versionExported
true
ethz.COinS
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