Learning Identity-Preserving Transformations on Data Manifolds

22 June 2021

Papers citing "Learning Identity-Preserving Transformations on Data Manifolds"

6 / 6 papers shown

Title
Manifold Contrastive Learning with Variational Lie Group Operators Kion Fallah Alec Helbling Kyle A. Johnsen Christopher Rozell SSL DRL 13 1 0 23 Jun 2023
Learning Internal Representations of 3D Transformations from 2D Projected Inputs Marissa Connor Bruno A. Olshausen Christopher Rozell 15 1 0 31 Mar 2023
Toward a Geometric Theory of Manifold Untangling Xin Li Shuo Wang 13 0 0 07 Mar 2023
Robust Self-Supervised Learning with Lie Groups Mark Ibrahim Diane Bouchacourt Ari S. Morcos SSL OOD 28 6 0 24 Oct 2022
Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics Noga Mudrik Yenho Chen Eva Yezerets Christopher Rozell Adam S. Charles 20 16 0 07 Jun 2022
Variational Autoencoders with Riemannian Brownian Motion Priors Dimitris Kalatzis David Eklund Georgios Arvanitidis Søren Hauberg BDL DRL 53 49 0 12 Feb 2020