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Stability Analysis of Equivariant Convolutional Representations Through
  The Lens of Equivariant Multi-layered CKNs

Stability Analysis of Equivariant Convolutional Representations Through The Lens of Equivariant Multi-layered CKNs

8 August 2024
Soutrik Roy Chowdhury
ArXiv (abs)PDFHTML

Papers citing "Stability Analysis of Equivariant Convolutional Representations Through The Lens of Equivariant Multi-layered CKNs"

18 / 18 papers shown
Title
A PAC-Bayesian Generalization Bound for Equivariant Networks
A PAC-Bayesian Generalization Bound for Equivariant Networks
Arash Behboodi
Gabriele Cesa
Taco S. Cohen
83
19
0
24 Oct 2022
Approximation and Learning with Deep Convolutional Models: a Kernel
  Perspective
Approximation and Learning with Deep Convolutional Models: a Kernel Perspective
A. Bietti
83
30
0
19 Feb 2021
Why Are Convolutional Nets More Sample-Efficient than Fully-Connected
  Nets?
Why Are Convolutional Nets More Sample-Efficient than Fully-Connected Nets?
Zhiyuan Li
Yi Zhang
Sanjeev Arora
BDLMLT
85
39
0
16 Oct 2020
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric
  graphs
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs
P. D. Haan
Maurice Weiler
Taco S. Cohen
Max Welling
145
130
0
11 Mar 2020
Generalizing Convolutional Neural Networks for Equivariance to Lie
  Groups on Arbitrary Continuous Data
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data
Marc Finzi
Samuel Stanton
Pavel Izmailov
A. Wilson
132
324
0
25 Feb 2020
General $E(2)$-Equivariant Steerable CNNs
General E(2)E(2)E(2)-Equivariant Steerable CNNs
Maurice Weiler
Gabriele Cesa
115
525
0
19 Nov 2019
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
MLTAI4CE
226
316
0
05 Nov 2018
3D Steerable CNNs: Learning Rotationally Equivariant Features in
  Volumetric Data
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data
Maurice Weiler
Mario Geiger
Max Welling
Wouter Boomsma
Taco S. Cohen
3DPC
118
507
0
06 Jul 2018
On the Generalization of Equivariance and Convolution in Neural Networks
  to the Action of Compact Groups
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups
Risi Kondor
Shubhendu Trivedi
MLT
118
500
0
11 Feb 2018
Learning Steerable Filters for Rotation Equivariant CNNs
Learning Steerable Filters for Rotation Equivariant CNNs
Maurice Weiler
Fred Hamprecht
M. Storath
102
388
0
20 Nov 2017
Spectrally-normalized margin bounds for neural networks
Spectrally-normalized margin bounds for neural networks
Peter L. Bartlett
Dylan J. Foster
Matus Telgarsky
ODL
216
1,225
0
26 Jun 2017
Parseval Networks: Improving Robustness to Adversarial Examples
Parseval Networks: Improving Robustness to Adversarial Examples
Moustapha Cissé
Piotr Bojanowski
Edouard Grave
Yann N. Dauphin
Nicolas Usunier
AAML
150
808
0
28 Apr 2017
Steerable CNNs
Steerable CNNs
Taco S. Cohen
Max Welling
BDL
145
499
0
27 Dec 2016
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
815
3,302
0
24 Nov 2016
Convexified Convolutional Neural Networks
Convexified Convolutional Neural Networks
Yuchen Zhang
Percy Liang
Martin J. Wainwright
154
65
0
04 Sep 2016
End-to-End Kernel Learning with Supervised Convolutional Kernel Networks
End-to-End Kernel Learning with Supervised Convolutional Kernel Networks
Julien Mairal
SSL
71
130
0
20 May 2016
Group Equivariant Convolutional Networks
Group Equivariant Convolutional Networks
Taco S. Cohen
Max Welling
BDL
176
1,946
0
24 Feb 2016
Group Invariant Scattering
Group Invariant Scattering
S. Mallat
126
993
0
12 Jan 2011
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