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Discrete Deep Feature Extraction: A Theory and New Architectures
26 May 2016
Thomas Wiatowski
Michael Tschannen
Aleksandar Stanić
Philipp Grohs
Helmut Bölcskei
FAtt
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Papers citing
"Discrete Deep Feature Extraction: A Theory and New Architectures"
5 / 5 papers shown
Title
Prevalence of Neural Collapse during the terminal phase of deep learning training
Vardan Papyan
Xuemei Han
D. Donoho
35
549
0
18 Aug 2020
Regularization via Mass Transportation
Soroosh Shafieezadeh-Abadeh
Daniel Kuhn
Peyman Mohajerin Esfahani
OOD
24
203
0
27 Oct 2017
Basic Filters for Convolutional Neural Networks Applied to Music: Training or Design?
M. Dörfler
Thomas Grill
Roswitha Bammer
A. Flexer
20
7
0
07 Sep 2017
Deep Structured Features for Semantic Segmentation
Michael Tschannen
Lukas Cavigelli
Fabian Mentzer
Thomas Wiatowski
Luca Benini
SSeg
22
14
0
26 Sep 2016
A Mathematical Theory of Deep Convolutional Neural Networks for Feature Extraction
Thomas Wiatowski
Helmut Bölcskei
FAtt
34
363
0
19 Dec 2015
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