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An Unsupervised Algorithm For Learning Lie Group Transformations

7 January 2010

Jascha Narain Sohl-Dickstein

Jimmy C. Wang

Bruno A. Olshausen

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Papers citing "An Unsupervised Algorithm For Learning Lie Group Transformations"

32 / 32 papers shown

Title
Lie Group Symmetry Discovery and Enforcement Using Vector Fields Ben Shaw Sasidhar Kunapuli Abram Magner Kevin R. Moon 61 0 0 13 May 2025
On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory Andrea Perin Stéphane Deny 134 2 0 16 Dec 2024
Learning Infinitesimal Generators of Continuous Symmetries from Data Gyeonghoon Ko Hyunsu Kim Juho Lee 73 5 0 29 Oct 2024
SymmetryLens: A new candidate paradigm for unsupervised symmetry learning via locality and equivariance Onur Efe Arkadas Ozakin 70 0 0 07 Oct 2024
Symmetry Discovery Beyond Affine Transformations Ben Shaw Abram Magner Kevin R. Moon 130 3 0 05 Jun 2024
Compositional Factorization of Visual Scenes with Convolutional Sparse Coding and Resonator Networks Christopher J. Kymn Sonia Mazelet Annabel Ng Denis Kleyko Bruno A. Olshausen 66 5 0 29 Apr 2024
Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks Giovanni Luca Marchetti Christopher Hillar Danica Kragic Sophia Sanborn 81 14 0 13 Dec 2023
Learning Lie Group Symmetry Transformations with Neural Networks Alex Gabel Victoria G Klein Riccardo Valperga J. Lamb K. Webster Rick Quax E. Gavves 103 7 0 04 Jul 2023
Manifold Contrastive Learning with Variational Lie Group Operators Kion Fallah Alec Helbling Kyle A. Johnsen Christopher Rozell SSL DRL 74 1 0 23 Jun 2023
Learning Internal Representations of 3D Transformations from 2D Projected Inputs Marissa Connor Bruno A. Olshausen Christopher Rozell 74 1 0 31 Mar 2023
Commutativity and Disentanglement from the Manifold Perspective Frank Qiu CoGe 45 0 0 14 Oct 2022
Unsupervised Learning of Equivariant Structure from Sequences Takeru Miyato Masanori Koyama Kenji Fukumizu 86 12 0 12 Oct 2022
LieGG: Studying Learned Lie Group Generators A. Moskalev A. Sepliarskaia Ivan Sosnovik A. Smeulders 88 27 0 09 Oct 2022
Bispectral Neural Networks Sophia Sanborn Christian Shewmake Bruno A. Olshausen Christopher Hillar 74 13 0 07 Sep 2022
Disentangling Patterns and Transformations from One Sequence of Images with Shape-invariant Lie Group Transformer Takumi Takada Wataru Shimaya Yoshiyuki Ohmura Yasuo Kuniyoshi ViT 40 3 0 21 Mar 2022
Hamiltonian latent operators for content and motion disentanglement in image sequences Asif Khan Amos Storkey 64 2 0 02 Dec 2021
Automatic Symmetry Discovery with Lie Algebra Convolutional Network Nima Dehmamy Robin Walters Yanchen Liu Dashun Wang Rose Yu AI4CE 171 88 0 15 Sep 2021
Learning Identity-Preserving Transformations on Data Manifolds Marissa Connor Kion Fallah Christopher Rozell 72 6 0 22 Jun 2021
Addressing the Topological Defects of Disentanglement via Distributed Operators Diane Bouchacourt Mark Ibrahim Stéphane Deny 38 22 0 10 Feb 2021
Disentangling images with Lie group transformations and sparse coding Ho Yin Chau Frank Qiu Yubei Chen Bruno A. Olshausen 57 13 0 11 Dec 2020
Joint Estimation of Image Representations and their Lie Invariants Christine Allen-Blanchette Kostas Daniilidis 18 0 0 05 Dec 2020
Deep Autoencoders: From Understanding to Generalization Guarantees Romain Cosentino Randall Balestriero Richard Baraniuk B. Aazhang 40 6 0 20 Sep 2020
Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding David A. Klindt Lukas Schott Yash Sharma Ivan Ustyuzhaninov Wieland Brendel Matthias Bethge Dylan M. Paiton CML 137 134 0 21 Jul 2020
Disentangling by Subspace Diffusion David Pfau I. Higgins Aleksandar Botev S. Racanière DiffM DRL 79 37 0 23 Jun 2020
Invariant Feature Coding using Tensor Product Representation Yusuke Mukuta Tatsuya Harada 43 0 0 05 Jun 2019
Towards a Definition of Disentangled Representations I. Higgins David Amos David Pfau S. Racanière Loic Matthey Danilo Jimenez Rezende Alexander Lerchner OCL DRL 118 480 0 05 Dec 2018
Transformational Sparse Coding Dimitrios C. Gklezakos Rajesh P. N. Rao 24 2 0 08 Dec 2017
Unsupervised Transformation Learning via Convex Relaxations Tatsunori B. Hashimoto John C. Duchi Percy Liang 48 12 0 06 Nov 2017
A Probabilistic Theory of Deep Learning Ankit B. Patel M. T. Nguyen Richard G. Baraniuk BDL OOD UQCV 91 89 0 02 Apr 2015
Transformation Properties of Learned Visual Representations Taco S. Cohen Max Welling 75 106 0 24 Dec 2014
Efficient Methods for Unsupervised Learning of Probabilistic Models Jascha Narain Sohl-Dickstein TPM 55 0 0 19 May 2012
Learning image transformations without training examples S. Pankov 3DH 47 0 0 01 Oct 2011