Equivariant Representation Learning via Class-Pose Decomposition

Equivariant Representation Learning via Class-Pose Decomposition

7 July 2022

Anastasiia Varava

Danica Kragic

Papers citing "Equivariant Representation Learning via Class-Pose Decomposition"

14 / 14 papers shown

Title
CFASL: Composite Factor-Aligned Symmetry Learning for Disentanglement in Variational AutoEncoder Heeseung Jung Jaehyoung Jeong Kangil Kim CoGe 19 0 0 17 Jan 2024
Topological Obstructions and How to Avoid Them Babak Esmaeili Robin G. Walters Heiko Zimmermann Jan Willem van de Meent AI4CE 16 3 0 12 Dec 2023
Steerers: A framework for rotation equivariant keypoint descriptors Georg Bökman Johan Edstedt Michael Felsberg Fredrik Kahl LLMSV 16 10 0 04 Dec 2023
Algebras of actions in an agent's representations of the world Alexander Dean Eduardo Alonso Esther Mondragón 20 0 0 02 Oct 2023
Latent Space Symmetry Discovery Jianke Yang Nima Dehmamy Robin G. Walters Rose Yu 14 12 0 29 Sep 2023
Learning Geometric Representations of Objects via Interaction Alfredo Reichlin G. Marchetti Hang Yin Anastasiia Varava Danica Kragic 14 0 0 11 Sep 2023
A Cookbook of Self-Supervised Learning Randall Balestriero Mark Ibrahim Vlad Sobal Ari S. Morcos Shashank Shekhar ... Pierre Fernandez Amir Bar Hamed Pirsiavash Yann LeCun Micah Goldblum SyDa FedML SSL 31 270 0 24 Apr 2023
A General Theory of Correct, Incorrect, and Extrinsic Equivariance Dian Wang Xu Zhu Jung Yeon Park Mingxi Jia Guanang Su Robert W. Platt Robin G. Walters 16 13 0 08 Mar 2023
Self-supervised learning of Split Invariant Equivariant representations Q. Garrido Laurent Najman Yann LeCun SSL 11 32 0 14 Feb 2023
Equivariant Representation Learning in the Presence of Stabilizers Luis Armando ∗. GiovanniLucaMarchetti Danica Kragic D. Jarnikov Mike Holenderski 24 0 0 12 Jan 2023
The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry Dian Wang Jung Yeon Park Neel Sortur Lawson L. S. Wong Robin G. Walters Robert W. Platt AAML 25 33 0 16 Nov 2022
Back to the Manifold: Recovering from Out-of-Distribution States Alfredo Reichlin G. Marchetti Hang Yin Ali Ghadirzadeh Danica Kragic OffRL 17 11 0 18 Jul 2022
Weakly-Supervised Disentanglement Without Compromises Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen CoGe OOD DRL 171 311 0 07 Feb 2020
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 149 308 0 05 Nov 2018