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Homomorphism Autoencoder -- Learning Group Structured Representations from Observed Transitions

25 July 2022

Papers citing "Homomorphism Autoencoder -- Learning Group Structured Representations from Observed Transitions"

28 / 28 papers shown

Title
Learning Actionable World Models for Industrial Process Control Peng Yan Ahmed Abdulkadir Gerrit A. Schatte Giulia Anguzzi Joonsu Gha Nikola Pascher Matthias Rosenthal Yunlong Gao Benjamin Grewe Thilo Stadelmann DRL AI4CE 118 0 0 03 Mar 2025
Learning Symmetric Embeddings for Equivariant World Models Jung Yeon Park Ondrej Biza Linfeng Zhao Jan-Willem van de Meent Robin Walters 86 45 0 24 Apr 2022
Automatic Symmetry Discovery with Lie Algebra Convolutional Network Nima Dehmamy Robin Walters Yanchen Liu Dashun Wang Rose Yu AI4CE 165 88 0 15 Sep 2021
Independent mechanism analysis, a new concept? Luigi Gresele Julius von Kügelgen Vincent Stimper Bernhard Schölkopf M. Besserve CML 73 102 0 09 Jun 2021
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style Julius von Kügelgen Yash Sharma Luigi Gresele Wieland Brendel Bernhard Schölkopf M. Besserve Francesco Locatello 110 317 0 08 Jun 2021
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups Marc Finzi Max Welling A. Wilson 165 198 0 19 Apr 2021
Towards Building A Group-based Unsupervised Representation Disentanglement Framework Tao Yang Xuanchi Ren Yuwang Wang W. Zeng Nanning Zheng CoGe DRL 63 30 0 20 Feb 2021
Quantifying and Learning Linear Symmetry-Based Disentanglement Loek Tonnaer L. Rey Vlado Menkovski Mike Holenderski J. Portegies FedML CoGe DRL 68 14 0 11 Nov 2020
Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning Sumedh Anand Sontakke Arash Mehrjou Laurent Itti Bernhard Schölkopf CML 82 63 0 07 Oct 2020
Linear Disentangled Representations and Unsupervised Action Estimation Matthew Painter Jonathon S. Hare Adam Prugel-Bennett CoGe DRL 70 20 0 18 Aug 2020
Meta-Learning Symmetries by Reparameterization Allan Zhou Tom Knowles Chelsea Finn OOD 81 96 0 06 Jul 2020
MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning Elise van der Pol Daniel E. Worrall H. V. Hoof F. Oliehoek Max Welling BDL AI4CE 80 162 0 30 Jun 2020
A theory of independent mechanisms for extrapolation in generative models M. Besserve Rémy Sun Dominik Janzing Bernhard Schölkopf 77 26 0 01 Apr 2020
Representing Closed Transformation Paths in Encoded Network Latent Space Marissa Connor Christopher Rozell 3DPC DRL 67 28 0 05 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 565 42,639 0 03 Dec 2019
Variational Autoencoders and Nonlinear ICA: A Unifying Framework Ilyes Khemakhem Diederik P. Kingma Ricardo Pio Monti Aapo Hyvarinen OOD 73 598 0 10 Jul 2019
Symmetry-Based Disentangled Representation Learning requires Interaction with Environments Hugo Caselles-Dupré Michael Garcia Ortiz David Filliat DRL 72 66 0 30 Mar 2019
Towards a Definition of Disentangled Representations I. Higgins David Amos David Pfau S. Racanière Loic Matthey Danilo Jimenez Rezende Alexander Lerchner OCL DRL 113 480 0 05 Dec 2018
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations Francesco Locatello Stefan Bauer Mario Lucic Gunnar Rätsch Sylvain Gelly Bernhard Schölkopf Olivier Bachem OOD 143 1,473 0 29 Nov 2018
World Models David R Ha Jürgen Schmidhuber SyDa 158 1,101 0 27 Mar 2018
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups Risi Kondor Shubhendu Trivedi MLT 116 500 0 11 Feb 2018
Independently Controllable Factors Valentin Thomas Jules Pondard Emmanuel Bengio Marc Sarfati Philippe Beaudoin Marie-Jean Meurs Joelle Pineau Doina Precup Yoshua Bengio CML 65 69 0 03 Aug 2017
Group invariance principles for causal generative models M. Besserve Naji Shajarisales Bernhard Schölkopf Dominik Janzing 71 49 0 05 May 2017
Steerable CNNs Taco S. Cohen Max Welling BDL 145 499 0 27 Dec 2016
Unsupervised Feature Extraction by Time-Contrastive Learning and Nonlinear ICA Aapo Hyvarinen H. Morioka CML OOD AI4TS 79 410 0 20 May 2016
Deep Convolutional Inverse Graphics Network Tejas D. Kulkarni William F. Whitney Pushmeet Kohli J. Tenenbaum DRL BDL 103 930 0 11 Mar 2015
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 286 12,460 0 24 Jun 2012
Optimization with Sparsity-Inducing Penalties Francis R. Bach Rodolphe Jenatton Julien Mairal G. Obozinski 237 1,058 0 03 Aug 2011