hchau630 / LSC
Code for the arXiv preprint "Disentangling images with Lie group transformations and sparse coding" (2020).
☆13Updated 3 years ago
Alternatives and similar repositories for LSC:
Users that are interested in LSC are comparing it to the libraries listed below
- Code for "Variational Autoencoder with Learned Latent Structure"☆33Updated 3 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆53Updated 2 years ago
- ☆31Updated 4 years ago
- Lie Algebra Convolutional Network implementation☆42Updated 3 years ago
- ☆17Updated last year
- Code corresponding to the paper Diffusion Earth Mover's Distance and Distribution Embeddings☆35Updated 2 months ago
- This code accompanies "Differentiable probabilistic models of scientific imaging with the Fourier slice theorem", UAI 2019☆37Updated 5 years ago
- CO-Optimal Transport☆42Updated 4 years ago
- ☆38Updated 4 years ago
- Code for "Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations"☆23Updated 2 years ago
- PyTorch implementation of the paper "Neural Decomposition: Functional ANOVA with Variational Autoencoders"☆25Updated 4 years ago
- VAEs with Lie Group latent space☆97Updated 3 years ago
- Source code for "Explicitly disentangling image content from translation and rotation with spatial-VAE" - NeurIPS 2019☆65Updated 5 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆115Updated last year
- Code for the paper: "Independent mechanism analysis, a new concept?"☆24Updated last year
- This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent…☆72Updated last year
- Euclidean Wasserstein-2 optimal transportation☆44Updated last year
- Riemannian Convex Potential Maps☆67Updated last year
- Differentiable Euler Characteristic Transform☆17Updated 8 months ago
- ☆18Updated 3 years ago
- ☆13Updated 6 months ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)☆38Updated 2 years ago
- Equivariant Mesh Attention Networks☆21Updated 2 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆56Updated 3 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆44Updated last year
- ☆53Updated 6 months ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆28Updated 5 years ago
- Implementation of Lie Transformer, Equivariant Self-Attention, in Pytorch☆88Updated 4 years ago
- Implementation of approximate free-energy minimization in PyTorch☆18Updated 3 years ago
- ☆16Updated 2 years ago