IBM / wasserstein-barycentersView external linksLinks
Code for our ICLR19 paper "Wasserstein Barycenters for Model Ensembling", Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jarret Ross, Cicero Dos Santos, Tom Sercu
☆23Nov 18, 2019Updated 6 years ago
Alternatives and similar repositories for wasserstein-barycenters
Users that are interested in wasserstein-barycenters are comparing it to the libraries listed below
Sorting:
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆29Jun 14, 2019Updated 6 years ago
- Fast Topological Clustering with Wasserstein Distance (ICLR 2022)☆12Jun 24, 2022Updated 3 years ago
- ☆12Oct 14, 2018Updated 7 years ago
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆33Jun 17, 2022Updated 3 years ago
- Sinkhorn Barycenters via Frank-Wolfe algorithm☆27Feb 3, 2020Updated 6 years ago
- J-D. Benamou, G. Carlier, M. Cuturi, L. Nenna, G. Peyré. Iterative Bregman Projections for Regularized Transportation Problems. SIAM Jour…☆32Jan 7, 2017Updated 9 years ago
- Tensorflow implementation of optimal transport (OT) with Sinkhorn algorithm.☆19Nov 5, 2019Updated 6 years ago
- N. Papadakis, G. Peyré, E. Oudet. Optimal Transport with Proximal Splitting. SIAM Journal on Imaging Sciences, 7(1), pp. 212–238, 2014.☆11Jan 7, 2017Updated 9 years ago
- Supporting code for "Parallel Streaming Wasserstein Barycenters"☆10Nov 14, 2017Updated 8 years ago
- ☆12Jun 17, 2022Updated 3 years ago
- Official repository of "Minibatch optimal transport distances; analysis and applications" (https://arxiv.org/pdf/2101.01792.pdf)☆10Oct 15, 2021Updated 4 years ago
- ☆10Jun 22, 2022Updated 3 years ago
- ☆13Jul 25, 2023Updated 2 years ago
- Graph matching and clustering by comparing heat kernels via optimal transport.☆27Dec 8, 2022Updated 3 years ago
- Efficient non-linear PCA through kernel PCA with the Nyström method☆13May 19, 2023Updated 2 years ago
- ☆11Feb 14, 2022Updated 4 years ago
- Python package for the ICML 2022 paper "Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors".☆10Sep 2, 2024Updated last year
- Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".☆13Apr 9, 2021Updated 4 years ago
- Efficient Wasserstein Barycenter in MATLAB (for "Fast Discrete Distribution Clustering Using Wasserstein Barycenter with Sparse Support" …☆24Aug 2, 2019Updated 6 years ago
- PyTorch implementation of "Robust Barycenter Estimation using Semi-unbalanced Neural Optimal Transport" (ICLR 2025)☆17Jul 7, 2025Updated 7 months ago
- ☆13Sep 13, 2023Updated 2 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆28Mar 11, 2020Updated 5 years ago
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆17Oct 22, 2024Updated last year
- Implementation of our ICLR2023 paper "Spherical-Sliced Wasserstein"☆14Feb 18, 2024Updated last year
- Fast graph classifier with optical random features☆12Mar 2, 2021Updated 4 years ago
- ☆12Jul 25, 2024Updated last year
- (ICASSP'21/CVPR'21) Wasserstein Barycenter Transport☆32Aug 31, 2022Updated 3 years ago
- Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport (Official Implementation)☆19May 3, 2024Updated last year
- Code for "Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance", NeurIPS 2022☆17Feb 11, 2023Updated 3 years ago
- Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).☆42Mar 11, 2024Updated last year
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Jan 22, 2021Updated 5 years ago
- Supervised Training of Conditional Monge Maps☆19Oct 30, 2023Updated 2 years ago
- Pytorch implementation of "Neural Optimal Transport with General Cost Functionals" (ICLR 2024)☆23Aug 29, 2024Updated last year
- [ICML2023] InfoOT: Information Maximizing Optimal Transport☆41Apr 27, 2023Updated 2 years ago
- ☆18Mar 6, 2024Updated last year
- Implementation code for the paper "Aggregating Residue-Level Protein Language Model Embeddings with Optimal Transport"☆22May 3, 2025Updated 9 months ago
- Official PyTorch implementation for paper: Energy-Based Sliced Wasserstein Distance☆18Feb 21, 2025Updated 11 months ago
- Energy Based Models are a quite novel technique for density estimation. In this university project I explore this new research topic and …☆16Jul 6, 2021Updated 4 years ago
- Solving unregularized optimal transport problems with Julia☆18Sep 16, 2023Updated 2 years ago