DoronHav / WassersteinFlowMatchingLinks
☆34Updated 3 months ago
Alternatives and similar repositories for WassersteinFlowMatching
Users that are interested in WassersteinFlowMatching are comparing it to the libraries listed below
Sorting:
- Implementation of Action Matching☆48Updated 2 years ago
- ☆18Updated 3 years ago
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆66Updated last year
- Official implementation of Metric Flow Matching (NeurIPS 2024)☆56Updated 3 months ago
- Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold☆69Updated 9 months ago
- ☆21Updated 10 months ago
- Reward fine-tuning for Stable Diffusion models based on stochastic optimal control, including Adjoint Matching☆52Updated 6 months ago
- Score-based generative models for compact manifolds☆116Updated last year
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆26Updated last year
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆70Updated 8 months ago
- ☆31Updated last year
- ☆35Updated 8 months ago
- code for "Generalized Schrödinger Bridge Matching" (ICLR 2024).☆82Updated last year
- Implementation of Action Matching for the Schrödinger equation☆25Updated 2 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)☆45Updated 3 years ago
- code for "Riemannian Flow Matching on General Geometries".☆273Updated last year
- ☆193Updated last year
- [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".☆39Updated 11 months ago
- Code release for "Stochastic Optimal Control Matching"☆39Updated last year
- GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134☆23Updated 3 years ago
- Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral☆52Updated 3 years ago
- Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems [ICML'25]☆109Updated last month
- Official implementation of Deep Momentum Schrödinger Bridge☆27Updated 2 years ago
- Free-form flows are a generative model training a pair of neural networks via maximum likelihood☆49Updated 5 months ago
- Flow-matching algorithms in JAX☆111Updated last year
- Code for paper "Compositional Sculpting of Iterative Generative Processes"☆25Updated 2 years ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆39Updated 3 years ago
- The Superposition of Diffusion Models Using the Itô Density Estimator☆51Updated 8 months ago
- [ICML2022] Variational Wasserstein gradient flow☆24Updated 3 years ago
- Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022☆87Updated 3 years ago