Principal Geodesic Analysis for Probability Measures under the Optimal Transport Metric. - Vivien Seguy; Marco Cuturi (NIPS, 2015)

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)

Fast flow-based algorithm for creating density-equalizing map projections. - Michael T. Gastner; Vivien Seguy; Pratyush More (CoRR, 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)

Geodesic PCA versus Log-PCA of Histograms in the Wasserstein Space. - Elsa Cazelles; Vivien Seguy; Jérémie Bigot; Marco Cuturi; Nicolas Papadakis (SIAM J. Sci. Comput., 2018)

Measure Transport Approaches for Data Visualization and Learning. - Vivien Seguy (2018)

An Entropic Optimal Transport loss for learning deep neural networks under label noise in remote sensing images. - Bharath Bhushan Damodaran; Rémi Flamary; Vivien Seguy; Nicolas Courty (Comput. Vis. Image Underst., 2020)

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)

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