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A PAC-Bayesian Generalization Bound for Equivariant Networks

A PAC-Bayesian Generalization Bound for Equivariant Networks

24 October 2022
Arash Behboodi
Gabriele Cesa
Taco S. Cohen
ArXivPDFHTML

Papers citing "A PAC-Bayesian Generalization Bound for Equivariant Networks"

16 / 16 papers shown
Title
Generalization Bounds for Equivariant Networks on Markov Data
Hui Li
Zhiguo Wang
Bohui Chen
Li Sheng
29
0
0
01 Mar 2025
Learning with Exact Invariances in Polynomial Time
Learning with Exact Invariances in Polynomial Time
Ashkan Soleymani
B. Tahmasebi
Stefanie Jegelka
P. Jaillet
70
0
0
27 Feb 2025
Does equivariance matter at scale?
Does equivariance matter at scale?
Johann Brehmer
S. Behrends
P. D. Haan
Taco S. Cohen
44
10
0
30 Oct 2024
Understanding Adversarially Robust Generalization via Weight-Curvature
  Index
Understanding Adversarially Robust Generalization via Weight-Curvature Index
Yuelin Xu
Xiao Zhang
AAML
29
0
0
10 Oct 2024
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
Soutrik Roy Chowdhury
38
0
0
08 Aug 2024
Symmetric Linear Bandits with Hidden Symmetry
Symmetric Linear Bandits with Hidden Symmetry
Nam-Phuong Tran
T. Ta
Debmalya Mandal
Long Tran-Thanh
43
0
0
22 May 2024
A Characterization Theorem for Equivariant Networks with Point-wise
  Activations
A Characterization Theorem for Equivariant Networks with Point-wise Activations
Marco Pacini
Xiaowen Dong
Bruno Lepri
G. Santin
41
2
0
17 Jan 2024
Learning Polynomial Problems with $SL(2,\mathbb{R})$ Equivariance
Learning Polynomial Problems with SL(2,R)SL(2,\mathbb{R})SL(2,R) Equivariance
Hannah Lawrence
Mitchell Tong Harris
27
1
0
04 Dec 2023
Approximately Equivariant Graph Networks
Approximately Equivariant Graph Networks
Ningyuan Huang
Ron Levie
Soledad Villar
34
18
0
21 Aug 2023
Approximation-Generalization Trade-offs under (Approximate) Group Equivariance
Approximation-Generalization Trade-offs under (Approximate) Group Equivariance
Mircea Petrache
Shubhendu Trivedi
35
22
0
27 May 2023
A General Theory of Correct, Incorrect, and Extrinsic Equivariance
A General Theory of Correct, Incorrect, and Extrinsic Equivariance
Dian Wang
Xu Zhu
Jung Yeon Park
Mingxi Jia
Guanang Su
Robert W. Platt
Robin G. Walters
26
13
0
08 Mar 2023
Invariant Lipschitz Bandits: A Side Observation Approach
Invariant Lipschitz Bandits: A Side Observation Approach
Nam-Phuong Tran
Long Tran-Thanh
45
1
0
14 Dec 2022
Bayesian Model Selection, the Marginal Likelihood, and Generalization
Bayesian Model Selection, the Marginal Likelihood, and Generalization
Sanae Lotfi
Pavel Izmailov
Gregory W. Benton
Micah Goldblum
A. Wilson
UQCV
BDL
52
56
0
23 Feb 2022
Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey
Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey
M. Rath
A. P. Condurache
ViT
AI4CE
27
9
0
30 Jun 2020
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
1