johertrich / Manifold_Mixture_VAEsLinks
Manifold Learning by Mixture Models of VAEs for Inverse Problems
☆19Updated 11 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
Sorting:
- DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks☆55Updated last year
- Tensorflow implementation for the SVGP-VAE model.☆22Updated 4 years ago
- Learning the optimal transport map via input convex neural neworks☆41Updated 5 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)☆43Updated 3 years ago
- ☆12Updated last year
- TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics☆123Updated last year
- Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This …☆33Updated 4 months ago
- ☆13Updated 2 years ago
- Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".☆29Updated 7 months ago
- Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral☆52Updated 2 years ago
- GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134☆23Updated 3 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆45Updated 2 years ago
- Euclidean Wasserstein-2 optimal transportation☆47Updated 2 years ago
- This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivale…☆23Updated last year
- Python3 implementation of the paper [Large-scale optimal transport map estimation using projection pursuit]☆15Updated 4 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆60Updated 11 months ago
- ☆20Updated 7 months ago
- GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Metho…☆86Updated 2 years ago
- Implementation of Action Matching☆44Updated 2 years ago
- Neural Diffusion Processes☆81Updated last year
- Baselines for Model-Based Optimization☆53Updated 3 years ago
- ☆25Updated last year
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆53Updated 5 years ago
- Benchmarks for Model-Based Optimization☆95Updated last year
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆17Updated 10 months ago
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆89Updated 3 years ago
- ☆13Updated 9 months ago
- ☆17Updated 3 years ago
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆41Updated last year
- Official implementation of Transformer Neural Processes☆78Updated 3 years ago