facebookresearch / Addressing-the-Topological-Defects-of-DisentanglementLinks
Repo reproducing experimental results in "Addressing the Topological Defects of Disentanglement"
☆22Updated 3 years ago
Alternatives and similar repositories for Addressing-the-Topological-Defects-of-Disentanglement
Users that are interested in Addressing-the-Topological-Defects-of-Disentanglement are comparing it to the libraries listed below
Sorting:
- Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"☆15Updated 2 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆57Updated 4 years ago
- ☆63Updated last year
- Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology☆36Updated 4 years ago
- Monotone operator equilibrium networks☆53Updated 5 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- ☆54Updated last year
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆56Updated 4 years ago
- ☆30Updated 4 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆68Updated 4 years ago
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆26Updated 2 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Updated 4 years ago
- Convex potential flows☆83Updated 3 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆56Updated 3 years ago
- The official code for Efficient Learning of Generative Models via Finite-Difference Score Matching☆12Updated 2 years ago
- ☆47Updated last year
- [AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".☆20Updated 2 years ago
- Code for Understanding and Mitigating Exploding Inverses in Invertible Neural Networks (AISTATS 2021) http://arxiv.org/abs/2006.09347☆30Updated 4 years ago
- Efficient Householder Transformation in PyTorch☆66Updated 4 years ago
- General Invertible Transformations for Flow-based Generative Models☆18Updated 4 years ago
- Probabilistic Solution of Differential Equations☆13Updated 3 years ago
- ☆28Updated 3 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆54Updated 2 years ago
- Neural Fixed-Point Acceleration for Convex Optimization☆29Updated 2 years ago
- Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference☆12Updated 4 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).☆21Updated 11 months ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 3 years ago