Improved Generalization Bounds of Group Invariant / Equivariant Deep
Networks via Quotient Feature Spaces

Improved Generalization Bounds of Group Invariant / Equivariant Deep Networks via Quotient Feature Spaces

15 October 2019

Akiyoshi Sannai

Masaaki Imaizumi

Papers citing "Improved Generalization Bounds of Group Invariant / Equivariant Deep Networks via Quotient Feature Spaces"

16 / 16 papers shown

Title
Approximation-Generalization Trade-offs under (Approximate) Group Equivariance Mircea Petrache Shubhendu Trivedi 35 22 0 27 May 2023
Noncommutative $C^$ -algebra Net: Learning Neural Networks with Powerful Product Structure in $C^$ -algebra Ryuichiro Hataya Yuka Hashimoto 42 4 0 26 Jan 2023
An Analysis of Attention via the Lens of Exchangeability and Latent Variable Models Yufeng Zhang Boyi Liu Qi Cai Lingxiao Wang Zhaoran Wang 53 11 0 30 Dec 2022
VC dimensions of group convolutional neural networks P. Petersen A. Sepliarskaia VLM 27 7 0 19 Dec 2022
Invariant Lipschitz Bandits: A Side Observation Approach Nam-Phuong Tran Long Tran-Thanh 47 1 0 14 Dec 2022
A PAC-Bayesian Generalization Bound for Equivariant Networks Arash Behboodi Gabriele Cesa Taco S. Cohen 56 17 0 24 Oct 2022
Theory for Equivariant Quantum Neural Networks Quynh T. Nguyen Louis Schatzki Paolo Braccia Michael Ragone Patrick J. Coles F. Sauvage Martín Larocca M. Cerezo 37 89 0 16 Oct 2022
Automatic Data Augmentation via Invariance-Constrained Learning Ignacio Hounie Luiz F. O. Chamon Alejandro Ribeiro 23 10 0 29 Sep 2022
Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL Fengzhuo Zhang Boyi Liu Kaixin Wang Vincent Y. F. Tan Zhuoran Yang Zhaoran Wang OffRL LRM 51 10 0 20 Sep 2022
Imaging with Equivariant Deep Learning Dongdong Chen Mike Davies Matthias Joachim Ehrhardt Carola-Bibiane Schönlieb Ferdia Sherry Julián Tachella 19 28 0 05 Sep 2022
Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views? M. Farrell Blake Bordelon Shubhendu Trivedi C. Pehlevan 18 5 0 14 Oct 2021
Universal Equivariant Multilayer Perceptrons Siamak Ravanbakhsh 98 48 0 07 Feb 2020
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 165 308 0 05 Nov 2018
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters Yifan Xu Tianqi Fan Mingye Xu Long Zeng Yu Qiao 3DV 3DPC 152 769 0 30 Mar 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016
Norm-Based Capacity Control in Neural Networks Behnam Neyshabur Ryota Tomioka Nathan Srebro 119 577 0 27 Feb 2015