Unsupervised Learning of Group Invariant and Equivariant Representations

Unsupervised Learning of Group Invariant and Equivariant Representations

15 February 2022

Marco Bertolini

Djork-Arné Clevert

Papers citing "Unsupervised Learning of Group Invariant and Equivariant Representations"

11 / 11 papers shown

Title
EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling Theodoros Kouzelis Ioannis Kakogeorgiou Spyros Gidaris N. Komodakis DRL 70 5 0 17 Feb 2025
Interpreting Equivariant Representations Andreas Abildtrup Hansen Anna Calissano Aasa Feragen 45 1 0 23 Jan 2024
CFASL: Composite Factor-Aligned Symmetry Learning for Disentanglement in Variational AutoEncoder Heeseung Jung Jaehyoung Jeong Kangil Kim CoGe 21 0 0 17 Jan 2024
Self-Supervised Detection of Perfect and Partial Input-Dependent Symmetries Alonso Urbano David W. Romero 15 1 0 19 Dec 2023
Self-Supervised Learning for Place Representation Generalization across Appearance Changes M. A. Musallam Vincent Gaudillière Djamila Aouada SSL 30 2 0 04 Mar 2023
Self-supervised learning of Split Invariant Equivariant representations Q. Garrido Laurent Najman Yann LeCun SSL 19 32 0 14 Feb 2023
Equivariance with Learned Canonicalization Functions Sekouba Kaba Arnab Kumar Mondal Yan Zhang Yoshua Bengio Siamak Ravanbakhsh 30 61 0 11 Nov 2022
Equivariant Representation Learning via Class-Pose Decomposition G. Marchetti Gustaf Tegnér Anastasiia Varava Danica Kragic DRL 22 14 0 07 Jul 2022
Frame Averaging for Invariant and Equivariant Network Design Omri Puny Matan Atzmon Heli Ben-Hamu Ishan Misra Aditya Grover Edward James Smith Y. Lipman FedML 33 126 0 07 Oct 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 172 1,103 0 27 Apr 2021
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 149 308 0 05 Nov 2018