bunnech / jkonetLinks
Proximal Optimal Transport Modeling of Population Dynamics (AISTATS 2022)
☆20Updated 2 years ago
Alternatives and similar repositories for jkonet
Users that are interested in jkonet are comparing it to the libraries listed below
Sorting:
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆45Updated 2 years ago
- Tensorflow implementation for the SVGP-VAE model.☆22Updated 4 years ago
- ☆20Updated 8 months ago
- Supervised Training of Conditional Monge Maps☆19Updated last year
- DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks☆56Updated 3 weeks ago
- Implementation of the paper "Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels"☆11Updated last year
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Updated 4 years ago
- Entropic Optimal Transport Benchmark (NeurIPS 2023).☆25Updated last year
- Code corresponding to the paper Diffusion Earth Mover's Distance and Distribution Embeddings☆38Updated 10 months ago
- PhD Thesis☆36Updated last year
- ☆17Updated 2 years ago
- Learning the optimal transport map via input convex neural neworks☆41Updated 5 years ago
- ☆29Updated 2 years ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆37Updated 3 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)☆44Updated 3 years ago
- GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134☆23Updated 3 years ago
- ☆16Updated last year
- ☆12Updated last year
- Learning stochastic dynamics from snapshots through regularized unbalanced optimal transport (ICLR'25 oral)☆23Updated last month
- Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"☆11Updated last year
- ☆11Updated last month
- Official implementation of Deep Momentum Schrödinger Bridge☆28Updated last year
- Official implementation of Fisher-Flow Matching (NeurIPS 2024).☆29Updated 11 months ago
- ☆30Updated 3 weeks ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆10Updated 2 years ago
- 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
- Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)☆15Updated 2 years ago
- Official implementation of Metric Flow Matching (NeurIPS 2024)☆52Updated last month
- ☆25Updated last year
- Code for Optimal Transport for structured data with application on graphs☆102Updated 2 years ago