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dc.contributor.author
Rieck, Bastian Alexander
dc.contributor.author
Togninalli, Matteo
dc.contributor.author
Bock, Christian
dc.contributor.author
Moor, Michael
dc.contributor.author
Horn, Max
dc.contributor.author
Gumbsch, Thomas
dc.contributor.author
Borgwardt, Karsten
dc.date.accessioned
2019-02-26T08:20:34Z
dc.date.available
2019-02-22T16:19:50Z
dc.date.available
2019-02-22T16:22:27Z
dc.date.available
2019-02-25T07:54:53Z
dc.date.available
2019-02-25T13:13:45Z
dc.date.available
2019-02-26T08:20:34Z
dc.date.issued
2019-02-22
dc.identifier.uri
http://hdl.handle.net/20.500.11850/327207
dc.identifier.doi
10.3929/ethz-b-000327207
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
OpenReview
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.subject
Algebraic topology
en_US
dc.subject
Persistent homology
en_US
dc.subject
Network complexity
en_US
dc.subject
Neural network
en_US
dc.title
Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology
en_US
dc.type
Conference Paper
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2019-02-02
ethz.book.title
International Conference on Learning Representations (ICLR 2019)
en_US
ethz.size
25 p.
en_US
ethz.version.deposit
acceptedVersion
en_US
ethz.event
7th International Conference on Learning Representations (ICLR 2019)
en_US
ethz.event.location
New Orleans, LO, USA
en_US
ethz.event.date
May 6-9, 2019
en_US
ethz.publication.place
s.l.
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02060 - Dep. Biosysteme / Dep. of Biosystems Science and Eng.
en_US
ethz.identifier.url
https://openreview.net/forum?id=ByxkijC5FQ
ethz.relation.isPartOf
https://openreview.net/group?id=ICLR.cc/2019/Conference#accepted-poster-papers
ethz.date.deposited
2019-02-22T16:19:58Z
ethz.source
BATCH
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2019-02-25T07:55:06Z
ethz.rosetta.lastUpdated
2019-02-26T08:22:01Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=Neural%20Persistence:%20A%20Complexity%20Measure%20for%20Deep%20Neural%20Networks%20Using%20Algebraic%20Topology&rft.date=2019-02-22&rft.au=Rieck,%20Bastian%20Alexander&Togninalli,%20Matteo&Bock,%20Christian&Moor,%20Michael&Horn,%20Max&rft.genre=proceeding&rft.btitle=International%20Conference%20on%20Learning%20Representations%20(ICLR%202019)
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