Unsupervised Learning of Group Invariant and Equivariant Representations

15 February 2022

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

30 / 30 papers shown

Title
EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling Theodoros Kouzelis Ioannis Kakogeorgiou Spyros Gidaris N. Komodakis DRL 80 5 0 17 Feb 2025
Generative Modeling on Lie Groups via Euclidean Generalized Score Matching Marco Bertolini Tuan Le Djork-Arné Clevert DiffM 86 0 0 04 Feb 2025
Self-supervised Transformation Learning for Equivariant Representations Jaemyung Yu Jaehyun Choi Dong-Jae Lee H. Hong Junmo Kim 47 0 0 15 Jan 2025
LMDM:Latent Molecular Diffusion Model For 3D Molecule Generation Xiang Chen DiffM 76 0 0 05 Dec 2024
The Latent Road to Atoms: Backmapping Coarse-grained Protein Structures with Latent Diffusion Xu Han Yuancheng Sun Kai Chen Kang Liu Qiwei Ye DiffM AI4CE 31 0 0 17 Oct 2024
SELU: Self-Learning Embodied MLLMs in Unknown Environments Boyu Li Haobin Jiang Ziluo Ding Xinrun Xu Haoran Li Dongbin Zhao Zongqing Lu LRM 52 2 0 04 Oct 2024
Capsule Network Projectors are Equivariant and Invariant Learners Miles Everett A. Durrant Mingjun Zhong Georgios Leontidis SSL 3DPC 47 2 0 23 May 2024
A Generative Model of Symmetry Transformations J. Allingham Bruno Mlodozeniec Shreyas Padhy Javier Antorán David Krueger Richard E. Turner Eric T. Nalisnick José Miguel Hernández-Lobato GAN 45 4 0 04 Mar 2024
Interpreting Equivariant Representations Andreas Abildtrup Hansen Anna Calissano Aasa Feragen 53 1 0 23 Jan 2024
CFASL: Composite Factor-Aligned Symmetry Learning for Disentanglement in Variational AutoEncoder Heeseung Jung Jaehyoung Jeong Kangil Kim CoGe 34 0 0 17 Jan 2024
Self-Supervised Detection of Perfect and Partial Input-Dependent Symmetries Alonso Urbano David W. Romero 30 2 0 19 Dec 2023
Topological Obstructions and How to Avoid Them Babak Esmaeili Robin Walters Heiko Zimmermann Jan-Willem van de Meent AI4CE 24 3 0 12 Dec 2023
Latent Space Symmetry Discovery Jianke Yang Nima Dehmamy Robin Walters Rose Yu 32 12 0 29 Sep 2023
PESTO: Pitch Estimation with Self-supervised Transposition-equivariant Objective Alain Riou Stefan Lattner Gaëtan Hadjeres Geoffroy Peeters 29 13 0 05 Sep 2023
Non-parametric Hypothesis Tests for Distributional Group Symmetry Ke-Li Chiu Benjamin Bloem-Reddy 25 7 0 28 Jul 2023
Self-Supervised Learning with Lie Symmetries for Partial Differential Equations Grégoire Mialon Q. Garrido Hannah Lawrence Danyal Rehman Yann LeCun B. Kiani SSL 27 26 0 11 Jul 2023
Neural Fourier Transform: A General Approach to Equivariant Representation Learning Masanori Koyama Kenji Fukumizu Kohei Hayashi Takeru Miyato 40 8 0 29 May 2023
Geometric Latent Diffusion Models for 3D Molecule Generation Minkai Xu Alexander Powers R. Dror Stefano Ermon J. Leskovec DiffM AI4CE 58 137 0 02 May 2023
Domain Generalization In Robust Invariant Representation Gauri Gupta Ritvik Kapila Keshav Gupta Ramesh Raskar OOD 19 0 0 07 Apr 2023
VTAE: Variational Transformer Autoencoder with Manifolds Learning Pourya Shamsolmoali Masoumeh Zareapoor Huiyu Zhou Dacheng Tao Xuelong Li DRL 30 11 0 03 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 Walters 26 13 0 08 Mar 2023
Self-Supervised Learning for Place Representation Generalization across Appearance Changes M. A. Musallam Vincent Gaudillière Djamila Aouada SSL 40 2 0 04 Mar 2023
Self-supervised learning of Split Invariant Equivariant representations Q. Garrido Laurent Najman Yann LeCun SSL 32 32 0 14 Feb 2023
Equivariance with Learned Canonicalization Functions Sekouba Kaba Arnab Kumar Mondal Yan Zhang Yoshua Bengio Siamak Ravanbakhsh 44 62 0 11 Nov 2022
Holographic-(V)AE: an end-to-end SO(3)-Equivariant (Variational) Autoencoder in Fourier Space Gian Marco Visani Michael N. Pun Arman Angaji Armita Nourmohammad BDL 24 3 0 30 Sep 2022
Equivariant Representation Learning via Class-Pose Decomposition G. Marchetti Gustaf Tegnér Anastasiia Varava Danica Kragic DRL 35 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 49 128 0 07 Oct 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 176 1,111 0 27 Apr 2021
Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey M. Rath A. P. Condurache ViT AI4CE 35 9 0 30 Jun 2020
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 165 308 0 05 Nov 2018