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Learning Partial Equivariances from Data

Learning Partial Equivariances from Data

19 October 2021
David W. Romero
Suhas Lohit
ArXivPDFHTML

Papers citing "Learning Partial Equivariances from Data"

13 / 13 papers shown
Title
Approximate Equivariance in Reinforcement Learning
Approximate Equivariance in Reinforcement Learning
Jung Yeon Park
Sujay Bhatt
Sihan Zeng
Lawson L. S. Wong
Alec Koppel
Sumitra Ganesh
Robin Walters
32
1
0
06 Nov 2024
SymmetryLens: A new candidate paradigm for unsupervised symmetry
  learning via locality and equivariance
SymmetryLens: A new candidate paradigm for unsupervised symmetry learning via locality and equivariance
Onur Efe
Arkadas Ozakin
29
0
0
07 Oct 2024
Symmetry-Based Structured Matrices for Efficient Approximately Equivariant Networks
Symmetry-Based Structured Matrices for Efficient Approximately Equivariant Networks
Ashwin Samudre
Mircea Petrache
Brian D. Nord
Shubhendu Trivedi
42
2
0
18 Sep 2024
Improving Equivariant Model Training via Constraint Relaxation
Improving Equivariant Model Training via Constraint Relaxation
Stefanos Pertigkiozoglou
Evangelos Chatzipantazis
Shubhendu Trivedi
Kostas Daniilidis
37
4
0
23 Aug 2024
Variational Partial Group Convolutions for Input-Aware Partial
  Equivariance of Rotations and Color-Shifts
Variational Partial Group Convolutions for Input-Aware Partial Equivariance of Rotations and Color-Shifts
Hyunsu Kim
Yegon Kim
Hongseok Yang
Juho Lee
37
0
0
05 Jul 2024
Self-Supervised Detection of Perfect and Partial Input-Dependent
  Symmetries
Self-Supervised Detection of Perfect and Partial Input-Dependent Symmetries
Alonso Urbano
David W. Romero
15
1
0
19 Dec 2023
Learned Gridification for Efficient Point Cloud Processing
Learned Gridification for Efficient Point Cloud Processing
P. A. V. D. Linden
David W. Romero
Erik J. Bekkers
3DPC
18
2
0
22 Jul 2023
Approximation-Generalization Trade-offs under (Approximate) Group Equivariance
Approximation-Generalization Trade-offs under (Approximate) Group Equivariance
Mircea Petrache
Shubhendu Trivedi
30
22
0
27 May 2023
Making Vision Transformers Truly Shift-Equivariant
Making Vision Transformers Truly Shift-Equivariant
Renan A. Rojas-Gomez
Teck-Yian Lim
Minh N. Do
Raymond A. Yeh
ViT
19
7
0
25 May 2023
Noether Networks: Meta-Learning Useful Conserved Quantities
Noether Networks: Meta-Learning Useful Conserved Quantities
Ferran Alet
Dylan D. Doblar
Allan Zhou
J. Tenenbaum
Kenji Kawaguchi
Chelsea Finn
65
26
0
06 Dec 2021
Automatic Symmetry Discovery with Lie Algebra Convolutional Network
Automatic Symmetry Discovery with Lie Algebra Convolutional Network
Nima Dehmamy
Robin G. Walters
Yanchen Liu
Dashun Wang
Rose Yu
AI4CE
78
81
0
15 Sep 2021
A Practical Method for Constructing Equivariant Multilayer Perceptrons
  for Arbitrary Matrix Groups
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups
Marc Finzi
Max Welling
A. Wilson
71
185
0
19 Apr 2021
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
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