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Improving the Sample-Complexity of Deep Classification Networks with
  Invariant Integration

Improving the Sample-Complexity of Deep Classification Networks with Invariant Integration

8 February 2022
M. Rath
A. P. Condurache
ArXivPDFHTML

Papers citing "Improving the Sample-Complexity of Deep Classification Networks with Invariant Integration"

3 / 3 papers shown
Title
Pioneering SE(2)-Equivariant Trajectory Planning for Automated Driving
Pioneering SE(2)-Equivariant Trajectory Planning for Automated Driving
Steffen Hagedorn
Marcel Milich
A. P. Condurache
36
4
0
17 Mar 2024
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
71
185
0
19 Apr 2021
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
149
308
0
05 Nov 2018
1