zweidimensionales bewegtes Bild
Convergence of gradient flows for learning deep linear networks
- Standort
-
Hannover TIB
- Umfang
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56MB, 00:28:58:07 (unknown)
- Sprache
-
Englisch
- Anmerkungen
-
Audiovisuelles Material
- Erschienen in
-
Computational Harmonic Analysis and Data Science (19w5061) ; (Jan. 2019)
- Ereignis
-
Veröffentlichung
- (wer)
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Banff International Research Station (BIRS) for Mathematical Innovation and Discovery
- (wann)
-
2019-01-01
- Beteiligte Personen und Organisationen
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Rauhut, Holger
Strohmer, Thomas (Organization)
Candes, Emmanuel (Organization)
Coifman, Ronald (Organization)
Singer, Amit (Organization)
- DOI
-
10.5446/56336
- Letzte Aktualisierung
-
04.12.2024, 08:09 MEZ
Datenpartner
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Objekttyp
- zweidimensionales bewegtes Bild
Beteiligte
- Rauhut, Holger
- Strohmer, Thomas (Organization)
- Candes, Emmanuel (Organization)
- Coifman, Ronald (Organization)
- Singer, Amit (Organization)
- Banff International Research Station (BIRS) for Mathematical Innovation and Discovery
Entstanden
- 2019-01-01
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