Symmetry-Based Representations for Artificial and Biological General Intelligence

17 March 2022

I. Higgins

S. Racanière

Danilo Jimenez Rezende

AI4CE

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Papers citing "Symmetry-Based Representations for Artificial and Biological General Intelligence"

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Morphological Symmetries in Robotics Daniel Felipe Ordoñez Apraez Giulio Turrisi Vladimir Kostic Mario Martin Antonio Agudo Francesc Moreno-Noguer Massimiliano Pontil Claudio Semini Carlos Mastalli AI4CE 65 6 0 23 Feb 2024
SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision I. Higgins Peter Wirnsberger Andrew Jaegle Aleksandar Botev 68 8 0 10 Nov 2021
Self-Supervised Learning Disentangled Group Representation as Feature Tan Wang Zhongqi Yue Jianqiang Huang Qianru Sun Hanwang Zhang OOD 61 69 0 28 Oct 2021
Implicit Riemannian Concave Potential Maps Danilo Jimenez Rezende S. Racanière AI4CE 81 7 0 04 Oct 2021
Introducing Symmetries to Black Box Meta Reinforcement Learning Louis Kirsch Sebastian Flennerhag Hado van Hasselt A. Friesen Junhyuk Oh Yutian Chen 58 32 0 22 Sep 2021
Equivariant Manifold Flows Isay Katsman Aaron Lou Derek Lim Qingxuan Jiang Ser-Nam Lim Christopher De Sa AI4CE 42 25 0 19 Jul 2021
Riemannian Convex Potential Maps Samuel N. Cohen Brandon Amos Y. Lipman 55 22 0 18 Jun 2021
CoAtNet: Marrying Convolution and Attention for All Data Sizes Zihang Dai Hanxiao Liu Quoc V. Le Mingxing Tan ViT 109 1,201 0 09 Jun 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 350 1,148 0 27 Apr 2021
E(n) Equivariant Graph Neural Networks Victor Garcia Satorras Emiel Hoogeboom Max Welling 102 1,019 0 19 Feb 2021
E(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate Interatomic Potentials Simon L. Batzner Albert Musaelian Lixin Sun Mario Geiger J. Mailoa M. Kornbluth N. Molinari Tess E. Smidt Boris Kozinsky 297 1,295 0 08 Jan 2021
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization Chin-Wei Huang Ricky T. Q. Chen Christos Tsirigotis Aaron Courville OT 168 98 0 10 Dec 2020
Representation Matters: Improving Perception and Exploration for Robotics Markus Wulfmeier Arunkumar Byravan Tim Hertweck I. Higgins Ankush Gupta ... Malcolm Reynolds Denis Teplyashin Roland Hafner Thomas Lampe Martin Riedmiller 59 15 0 03 Nov 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 65 162 0 30 Jun 2020
Disentangling by Subspace Diffusion David Pfau I. Higgins Aleksandar Botev S. Racanière DiffM DRL 37 37 0 23 Jun 2020
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks F. Fuchs Daniel E. Worrall Volker Fischer Max Welling 3DPC 151 692 0 18 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 360 6,797 0 13 Jun 2020
Equivariant Flows: Exact Likelihood Generative Learning for Symmetric Densities Jonas Köhler Leon Klein Frank Noé DRL 91 271 0 03 Jun 2020
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data Marc Finzi Samuel Stanton Pavel Izmailov A. Wilson 116 323 0 25 Feb 2020
Learning Group Structure and Disentangled Representations of Dynamical Environments Robin Quessard Thomas D. Barrett W. Clements DRL 26 21 0 17 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 358 18,739 0 13 Feb 2020
Targeted free energy estimation via learned mappings Peter Wirnsberger A. J. Ballard George Papamakarios Stuart Abercrombie S. Racanière Alexander Pritzel Danilo Jimenez Rezende Charles Blundell 56 89 0 12 Feb 2020
Weakly-Supervised Disentanglement Without Compromises Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen CoGe OOD DRL 234 317 0 07 Feb 2020
Normalizing Flows on Tori and Spheres Danilo Jimenez Rezende George Papamakarios S. Racanière M. S. Albergo G. Kanwar P. Shanahan Kyle Cranmer TPM 84 155 0 06 Feb 2020
High-Fidelity Synthesis with Disentangled Representation Wonkwang Lee Donggyun Kim Seunghoon Hong Honglak Lee DRL 58 66 0 13 Jan 2020
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 202 1,691 0 05 Dec 2019
Disentangled Cumulants Help Successor Representations Transfer to New Tasks Christopher Grimm I. Higgins André Barreto Denis Teplyashin Markus Wulfmeier Tim Hertweck R. Hadsell Satinder Singh 59 14 0 25 Nov 2019
Equivariant Hamiltonian Flows Danilo Jimenez Rezende S. Racanière I. Higgins Peter Toth 58 64 0 30 Sep 2019
Ab-Initio Solution of the Many-Electron Schrödinger Equation with Deep Neural Networks David Pfau J. Spencer A. G. Matthews W. Foulkes 75 462 0 05 Sep 2019
Explicit Disentanglement of Appearance and Perspective in Generative Models N. Detlefsen Søren Hauberg CoGe DRL 47 49 0 11 Jun 2019
Are Disentangled Representations Helpful for Abstract Visual Reasoning? Sjoerd van Steenkiste Francesco Locatello Jürgen Schmidhuber Olivier Bachem 77 210 0 29 May 2019
Symmetry-Based Disentangled Representation Learning requires Interaction with Environments Hugo Caselles-Dupré Michael Garcia Ortiz David Filliat DRL 59 66 0 30 Mar 2019
Unsupervised Part-Based Disentangling of Object Shape and Appearance Dominik Lorenz Leonard Bereska Timo Milbich Bjorn Ommer OCL DRL 63 148 0 16 Mar 2019
Variational Autoencoders Pursue PCA Directions (by Accident) Michal Rolínek Dominik Zietlow Georg Martius OOD DRL 67 151 0 17 Dec 2018
Counterfactuals uncover the modular structure of deep generative models M. Besserve Arash Mehrjou Rémy Sun Bernhard Schölkopf DRL BDL DiffM 82 107 0 08 Dec 2018
Quantifying Generalization in Reinforcement Learning K. Cobbe Oleg Klimov Christopher Hesse Taehoon Kim John Schulman OffRL 91 670 0 06 Dec 2018
Towards a Definition of Disentangled Representations I. Higgins David Amos David Pfau S. Racanière Loic Matthey Danilo Jimenez Rezende Alexander Lerchner OCL DRL 95 479 0 05 Dec 2018
A Spectral Regularizer for Unsupervised Disentanglement Aditya A. Ramesh Youngduck Choi Yann LeCun DRL 68 42 0 04 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 115 1,466 0 29 Nov 2018
Improving Generalization for Abstract Reasoning Tasks Using Disentangled Feature Representations Xander Steenbrugge Sam Leroux Tim Verbelen Bart Dhoedt OOD DRL 49 68 0 12 Nov 2018
How can deep learning advance computational modeling of sensory information processing? J. Thompson Yoshua Bengio E. Formisano M. Schönwiesner 46 16 0 25 Sep 2018
Hyperprior Induced Unsupervised Disentanglement of Latent Representations Abdul Fatir Ansari Harold Soh CoGe CML UD DRL 54 31 0 12 Sep 2018
Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies Alessandro Achille Tom Eccles Loic Matthey Christopher P. Burgess Nicholas Watters Alexander Lerchner I. Higgins BDL 63 119 0 20 Aug 2018
Curiosity Driven Exploration of Learned Disentangled Goal Spaces A. Laversanne-Finot Alexandre Péré Pierre-Yves Oudeyer DRL 57 87 0 04 Jul 2018
Block-Value Symmetries in Probabilistic Graphical Models Gagan Madan Ankit Anand Mausam Parag Singla 31 2 0 02 Jul 2018
Rotation Equivariant CNNs for Digital Pathology Bastiaan S. Veeling J. Linmans Jim Winkens Taco S. Cohen Max Welling 109 583 0 08 Jun 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 747 3,119 0 04 Jun 2018
Understanding disentangling in $β$ -VAE Christopher P. Burgess I. Higgins Arka Pal Loic Matthey Nicholas Watters Guillaume Desjardins Alexander Lerchner CoGe DRL 59 829 0 10 Apr 2018
Structured Disentangled Representations Babak Esmaeili Hao Wu Sarthak Jain Alican Bozkurt N. Siddharth Brooks Paige Dana H. Brooks Jennifer Dy Jan-Willem van de Meent OOD CML BDL DRL 75 165 0 06 Apr 2018
Learning Disentangled Joint Continuous and Discrete Representations Emilien Dupont DRL 76 242 0 31 Mar 2018