johertrich / Manifold_Mixture_VAEs
Manifold Learning by Mixture Models of VAEs for Inverse Problems
☆16Updated last month
Related projects ⓘ
Alternatives and complementary repositories for Manifold_Mixture_VAEs
- Implementation of Action Matching for the Schrödinger equation☆22Updated last year
- ☆15Updated last year
- ☆12Updated last year
- A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).☆20Updated 2 months ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)☆35Updated 2 years ago
- Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".☆27Updated 3 years ago
- DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks☆48Updated 8 months ago
- ☆10Updated 2 years ago
- Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This …☆24Updated last year
- Euclidean Wasserstein-2 optimal transportation☆44Updated last year
- Code release for "Stochastic Optimal Control Matching"☆27Updated 2 months ago
- GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134☆22Updated 2 years ago
- Learning the optimal transport map via input convex neural neworks☆41Updated 4 years ago
- Official implementation of Deep Momentum Schrödinger Bridge☆20Updated last year
- ☆16Updated last year
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆49Updated 4 years ago
- Code for the paper "Disentangled Generative Models for Robust Prediction of System Dynamics"☆14Updated last year
- Learning Dynamical Systems that Generalize Across Environments☆19Updated 2 years ago
- Official PyTorch implementation of NPwSA: "Neural Processes with Stochastic Attention: Paying more attention to the context dataset (ICLR…☆10Updated 2 years ago
- ☆21Updated 11 months ago
- ☆18Updated last year
- Generalizing to New Physical Systems via Context-Informed Dynamics Model☆22Updated 6 months ago
- ☆15Updated 2 years ago
- Methods and experiments for assumed density SDE approximations☆11Updated 2 years ago
- Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral☆44Updated 2 years ago
- Pytorch and Tensorflow implementation of TVGNN, presented at ICML 2023.☆20Updated 9 months ago
- Graph matching and clustering by comparing heat kernels via optimal transport.☆23Updated last year
- PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularl…☆24Updated last year
- ☆30Updated 5 months ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆71Updated 2 years ago