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Capacity of Group-invariant Linear Readouts from Equivariant
  Representations: How Many Objects can be Linearly Classified Under All
  Possible Views?

Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views?

14 October 2021
M. Farrell
Blake Bordelon
Shubhendu Trivedi
C. Pehlevan
ArXivPDFHTML

Papers citing "Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views?"

4 / 4 papers shown
Title
Linear Classification of Neural Manifolds with Correlated Variability
Linear Classification of Neural Manifolds with Correlated Variability
Albert J. Wakhloo
Tamara J. Sussman
SueYeon Chung
24
10
0
27 Nov 2022
A Practical Method for Constructing Equivariant Multilayer Perceptrons
  for Arbitrary Matrix Groups
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups
Marc Finzi
Max Welling
A. Wilson
76
185
0
19 Apr 2021
Universal Equivariant Multilayer Perceptrons
Universal Equivariant Multilayer Perceptrons
Siamak Ravanbakhsh
98
48
0
07 Feb 2020
A General Theory of Equivariant CNNs on Homogeneous Spaces
A General Theory of Equivariant CNNs on Homogeneous Spaces
Taco S. Cohen
Mario Geiger
Maurice Weiler
MLT
AI4CE
162
308
0
05 Nov 2018
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