Learning equivariant tensor functions with applications to sparse vector recovery

3 June 2024

Papers citing "Learning equivariant tensor functions with applications to sparse vector recovery"

8 / 8 papers shown

Title
Tensor cumulants for statistical inference on invariant distributions Dmitriy Kunisky Cristopher Moore Alexander S. Wein 45 9 0 29 Apr 2024
Approximation-Generalization Trade-offs under (Approximate) Group Equivariance Mircea Petrache Shubhendu Trivedi 51 23 0 27 May 2023
SymmNeRF: Learning to Explore Symmetry Prior for Single-View View Synthesis Xingyi Li Chaoyi Hong Yiran Wang Z. Cao Ke Xian Guosheng Lin 65 19 0 29 Sep 2022
Provably Strict Generalisation Benefit for Invariance in Kernel Methods Bryn Elesedy 32 27 0 04 Jun 2021
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups Marc Finzi Max Welling A. Wilson 100 193 0 19 Apr 2021
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks F. Fuchs Daniel E. Worrall Volker Fischer Max Welling 3DPC 87 683 0 18 Jun 2020
Incorporating Symmetry into Deep Dynamics Models for Improved Generalization Rui Wang Robin Walters Rose Yu AI4CE 92 171 0 08 Feb 2020
Universal approximations of invariant maps by neural networks Dmitry Yarotsky 64 210 0 26 Apr 2018