johertrich / Manifold_Mixture_VAEs
Manifold Learning by Mixture Models of VAEs for Inverse Problems
☆17Updated 4 months ago
Alternatives and similar repositories for Manifold_Mixture_VAEs:
Users that are interested in Manifold_Mixture_VAEs are comparing it to the libraries listed below
- Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".☆28Updated 3 years ago
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆51Updated 4 years ago
- Code for the paper "Disentangled Generative Models for Robust Prediction of System Dynamics"☆14Updated last year
- ☆13Updated last year
- A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)☆37Updated 2 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).☆20Updated 4 months ago
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆22Updated last year
- ☆16Updated last year
- Variational Autoencoder with non-euclidean (hyperbolic) latent space☆11Updated 2 years ago
- ☆19Updated last month
- Tensorflow implementation for the SVGP-VAE model.☆21Updated 3 years ago
- Official PyTorch implementation of NPwSA: "Neural Processes with Stochastic Attention: Paying more attention to the context dataset (ICLR…☆10Updated 2 years ago
- Euclidean Wasserstein-2 optimal transportation☆44Updated last year
- DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks☆51Updated 10 months ago
- ☆21Updated last year
- Code release for "Stochastic Optimal Control Matching"☆30Updated 5 months ago
- Python notebooks for Optimal Transport between Gaussian Mixture Models☆41Updated 3 years ago
- Learning the optimal transport map via input convex neural neworks☆40Updated 4 years ago
- ☆19Updated 4 years ago
- Featurized Density Ratio Estimation☆20Updated 3 years ago
- ☆16Updated 2 years ago
- Official implementation of Deep Momentum Schrödinger Bridge☆22Updated last year
- ☆17Updated last year
- Implementation of Action Matching for the Schrödinger equation☆24Updated last year
- JAX implementation of the JKOnet* architecture presented in "Learning Diffusion at Lightspeed".☆26Updated 3 weeks ago
- A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes☆25Updated 3 years ago
- Mirror Diffusion Models, NeurIPS 2023☆31Updated last year
- The repository contains reproducible PyTorch source code of our paper Generative Modeling with Optimal Transport Maps, ICLR 2022.☆57Updated 2 years ago
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆23Updated 2 years ago
- ☆9Updated last year