Fast Dictionary Learning with a Smoothed Wasserstein Loss. - Antoine Rolet; Marco Cuturi; Gabriel Peyré (AISTATS, 2016)

Smooth and Sparse Optimal Transport. - Mathieu Blondel; Vivien Seguy; Antoine Rolet (AISTATS, 2018)

Large Scale Optimal Transport and Mapping Estimation. - Vivien Seguy; Bharath Bhushan Damodaran; Rémi Flamary; Nicolas Courty; Antoine Rolet; Mathieu Blondel (ICLR (Poster), 2018)

Blind source separation with optimal transport non-negative matrix factorization. - Antoine Rolet; Vivien Seguy; Mathieu Blondel; Hiroshi Sawada (EURASIP J. Adv. Signal Process., 2018)

POT: Python Optimal Transport. - Rémi Flamary; Nicolas Courty; Alexandre Gramfort; Mokhtar Z. Alaya; Aurélie Boisbunon; Stanislas Chambon; Laetitia Chapel; Adrien Corenflos; Kilian Fatras; Nemo Fournier; Léo Gautheron; Nathalie T. H. Gayraud; et al. (J. Mach. Learn. Res., 2021)

Optimal Transport Dictionary Learning and Non-negative Matrix Factorization. - Antoine Rolet (2021)

Fast optimal transport regularized projection and application to coefficient shrinkage and filtering. - Antoine Rolet; Vivien Seguy (Vis. Comput., 2022)