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Awesome Equivariant Frame

Foundation Work

Frame Averaging for Invariant and Equivariant Network Design
Omri Puny, Matan Atzmon, Heli Ben-Hamu, Ishan Misra, Aditya Grover, Edward J. Smith, Yaron Lipman
ICLR 2022. [Paper]
7 Oct 2021

Papers

Equivariance with Learned Canonicalization Functions
Sékou-Oumar Kaba, Arnab Kumar Mondal, Yan Zhang, Yoshua Bengio, Siamak Ravanbakhsh
ICML 2023. [Paper]
11 Nov 2022

Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance
Jinwoo Kim, Tien Dat Nguyen, Ayhan Suleymanzade, Hyeokjun An, Seunghoon Hong
NeurIPS 2023. [Paper]
5 Jun 2023

Smooth, exact rotational symmetrization for deep learning on point clouds
Sergey N. Pozdnyakov, Michele Ceriotti
NeurIPS 2023. [Paper]
30 May 2023

Learning Symmetrization for Equivariance with Orbit Distance Minimization
Tien Dat Nguyen*, Jinwoo Kim*, Hongseok Yang, Seunghoon Hong
NeurIPS 2023 Workshop. [Paper]
13 Nov 2023

Equivariant Frames and the Impossibility of Continuous Canonicalization
Nadav Dym*, Hannah Lawrence*, Jonathan W. Siegel*
ICML 2024. [Paper]
25 Feb 2024

Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency
Yuchao Lin, Jacob Helwig, Shurui Gui, Shuiwang Ji
ICML 2024. [Paper]
11 Jun 2024

A Canonization Perspective on Invariant and Equivariant Learning
George Ma*, Yifei Wang*, Derek Lim, Stefanie Jegelka, Yisen Wang
NeurIPS 2025. [Paper]
28 May 2024

Improving Equivariant Networks with Probabilistic Symmetry Breaking
Hannah Lawrence*, Vasco Portilheiro*, Yan Zhang, Sékou-Oumar Kaba
ICML 2024 Workshop. [Paper]
17 Jun 2024

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