ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2002.07528
  4. Cited By
A Computationally Efficient Neural Network Invariant to the Action of
  Symmetry Subgroups

A Computationally Efficient Neural Network Invariant to the Action of Symmetry Subgroups

18 February 2020
Piotr Kicki
Mete Ozay
Piotr Skrzypczyñski
ArXivPDFHTML

Papers citing "A Computationally Efficient Neural Network Invariant to the Action of Symmetry Subgroups"

4 / 4 papers shown
Title
Densely Connected $G$-invariant Deep Neural Networks with Signed
  Permutation Representations
Densely Connected GGG-invariant Deep Neural Networks with Signed Permutation Representations
Devanshu Agrawal
James Ostrowski
AI4CE
36
0
0
08 Mar 2023
A Classification of $G$-invariant Shallow Neural Networks
A Classification of GGG-invariant Shallow Neural Networks
Devanshu Agrawal
James Ostrowski
19
7
0
18 May 2022
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
165
308
0
05 Nov 2018
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
259
3,239
0
24 Nov 2016
1