FabianAltekrueger / NeuralWassersteinGradientFlowsLinks
Implementation of the paper "Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels"
☆11Updated last year
Alternatives and similar repositories for NeuralWassersteinGradientFlows
Users that are interested in NeuralWassersteinGradientFlows are comparing it to the libraries listed below
Sorting:
- ☆20Updated 6 months ago
- Entropic Optimal Transport Benchmark (NeurIPS 2023).☆24Updated last year
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆17Updated 9 months ago
- Official implementation of Deep Momentum Schrödinger Bridge☆27Updated last year
- [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".☆35Updated 8 months ago
- Proximal Optimal Transport Modeling of Population Dynamics (AISTATS 2022)☆20Updated 2 years ago
- Official implementation of Fisher-Flow Matching (NeurIPS 2024).☆26Updated 9 months ago
- Official pytorch repository for "Guided Diffusion Sampling on Function Spaces with Applications to PDEs"☆20Updated 2 months ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆10Updated 2 years ago
- ☆18Updated last year
- PyTorch implementation for "Training and Inference on Any-Order Autoregressive Models the Right Way", NeurIPS 2022 Oral, TPM 2023 Best Pa…☆15Updated 2 years ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆34Updated 3 years ago
- Example code of Sparse Gaussian Process Attention (ICLR 2023)☆24Updated last year
- ☆13Updated 2 years ago
- PyTorch implementation of "Robust Barycenter Estimation using Semi-unbalanced Neural Optimal Transport" (ICLR 2025)☆11Updated last month
- Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"☆11Updated last year
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆24Updated last year
- ☆13Updated last year
- Implementation of Action Matching☆44Updated 2 years ago
- ☆17Updated 2 years ago
- ☆17Updated 3 years ago
- Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).☆37Updated last year
- A Metropolis-Hastings MCMC sampler accelerated via diffusion models☆14Updated last year
- ☆15Updated 5 months ago
- Stochastic Normalizing Flows☆78Updated 3 years ago
- Experiments and content for the "Accelerating hyperbolic t-SNE" paper.☆15Updated 11 months ago
- ☆24Updated 3 years ago
- Official implementation of the NeurIPS 24 paper of statistical flow matching (SFM) for discrete generation.☆31Updated 9 months ago
- ☆35Updated 4 months ago
- [ICML2022] Variational Wasserstein gradient flow☆23Updated 2 years ago