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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
26
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
65
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
40
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
22
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
25
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
30
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
34
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
22
1
0
04 Dec 2023
Approximately Equivariant Graph Networks
Approximately Equivariant Graph Networks
Ningyuan Huang
Ron Levie
Soledad Villar
32
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
26
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
19
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
45
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
8
9
0
30 Jun 2020
Universal Equivariant Multilayer Perceptrons
Universal Equivariant Multilayer Perceptrons
Siamak Ravanbakhsh
90
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
149
308
0
05 Nov 2018
1