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"

27 / 27 papers shown

Title
Morphologically Symmetric Reinforcement Learning for Ambidextrous Bimanual Manipulation Zechu Li Yufeng Jin Daniel Felipe Ordoñez Apraez Claudio Semini Puze Liu Georgia Chalvatzaki 43 0 0 08 May 2025
The Space Between: On Folding, Symmetries and Sampling Michal Lewandowski Bernhard Heinzl Raphael Pisoni Bernhard A.Moser 55 0 0 11 Mar 2025
$α$ -TCVAE: On the relationship between Disentanglement and Diversity Cristian Meo Louis Mahon Anirudh Goyal Justin Dauwels DRL 47 8 0 01 Nov 2024
The Role of Fibration Symmetries in Geometric Deep Learning Osvaldo Velarde Lucas Parra Paolo Boldi Hernan Makse FedML AI4CE 37 2 0 28 Aug 2024
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 29 5 0 23 Feb 2024
Infinite dSprites for Disentangled Continual Learning: Separating Memory Edits from Generalization Sebastian Dziadzio cCaugatay Yildiz Gido M. van de Ven Tomasz Trzciñski Tinne Tuytelaars Matthias Bethge 19 1 0 27 Dec 2023
Topological Obstructions and How to Avoid Them Babak Esmaeili Robin G. Walters Heiko Zimmermann Jan Willem van de Meent AI4CE 11 2 0 12 Dec 2023
Dynamics Harmonic Analysis of Robotic Systems: Application in Data-Driven Koopman Modelling Daniel Felipe Ordoñez Apraez Vladimir Kostic Giulio Turrisi P. Novelli Carlos Mastalli Claudio Semini Massimiliano Pontil 19 2 0 12 Dec 2023
Representation Learning in a Decomposed Encoder Design for Bio-inspired Hebbian Learning Achref Jaziri Sina Ditzel Iuliia Pliushch Visvanathan Ramesh SSL 23 1 0 22 Nov 2023
Towards Information Theory-Based Discovery of Equivariances Hippolyte Charvin Nicola Catenacci Volpi Daniel Polani 6 0 0 25 Oct 2023
Algebras of actions in an agent's representations of the world Alexander Dean Eduardo Alonso Esther Mondragón 17 0 0 02 Oct 2023
From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication Irene Cannistraci Luca Moschella Marco Fumero Valentino Maiorca Emanuele Rodolà 41 12 0 02 Oct 2023
A Causal Ordering Prior for Unsupervised Representation Learning Avinash Kori Pedro Sanchez Konstantinos Vilouras Ben Glocker Sotirios A. Tsaftaris BDL SSL CML 10 0 0 11 Jul 2023
Symmetry and Complexity in Object-Centric Deep Active Inference Models Stefano Ferraro Toon Van de Maele Tim Verbelen Bart Dhoedt 17 6 0 14 Apr 2023
Equivariant Representation Learning in the Presence of Stabilizers Luis Armando ∗. GiovanniLucaMarchetti Danica Kragic D. Jarnikov Mike Holenderski 19 0 0 12 Jan 2023
Unsupervised Learning of Equivariant Structure from Sequences Takeru Miyato Masanori Koyama Kenji Fukumizu 13 12 0 12 Oct 2022
Symmetry Defense Against CNN Adversarial Perturbation Attacks Blerta Lindqvist AAML 14 2 0 08 Oct 2022
Bispectral Neural Networks Sophia Sanborn Christian Shewmake Bruno A. Olshausen Christopher Hillar 17 12 0 07 Sep 2022
Equivariant Representation Learning via Class-Pose Decomposition G. Marchetti Gustaf Tegnér Anastasiia Varava Danica Kragic DRL 11 13 0 07 Jul 2022
Spatio-temporally separable non-linear latent factor learning: an application to somatomotor cortex fMRI data Eloy P. T. Geenjaar A. Kashyap N. Lewis Robyn L. Miller Vince D. Calhoun 12 1 0 26 May 2022
Learn one size to infer all: Exploiting translational symmetries in delay-dynamical and spatio-temporal systems using scalable neural networks Mirko Goldmann C. Mirasso Ingo Fischer Miguel C. Soriano AI4CE 14 7 0 05 Nov 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 163 1,095 0 27 Apr 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 183 1,218 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 101 95 0 10 Dec 2020
Weakly-Supervised Disentanglement Without Compromises Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen CoGe OOD DRL 165 311 0 07 Feb 2020
Building machines that adapt and compute like brains Brenden Lake J. Tenenbaum AI4CE FedML NAI AILaw 243 893 0 11 Nov 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 210 13,886 0 02 Dec 2016