Wasserstein Dictionary Learning: Optimal Transport-based unsupervised non-linear dictionary learning. - Morgan A. Schmitz; Matthieu Heitz; Nicolas Bonneel; Fred Maurice Ngolè Mboula; David Coeurjolly; Marco Cuturi; Gabriel Peyré; Jean-Luc Starck (CoRR, 2017)

Wasserstein Dictionary Learning: Optimal Transport-Based Unsupervised Nonlinear Dictionary Learning. - Morgan A. Schmitz; Matthieu Heitz; Nicolas Bonneel; Fred Maurice Ngolè Mboula; David Coeurjolly; Marco Cuturi; Gabriel Peyré; Jean-Luc Starck (SIAM J. Imaging Sci., 2018)

Eulerian methods for inverse problems using optimal transport. (Méthodes eulériennes pour les problèmes inverses en transport optimal). - Matthieu Heitz (2020)

Ground Metric Learning on Graphs. - Matthieu Heitz; Nicolas Bonneel; David Coeurjolly; Marco Cuturi; Gabriel Peyré (J. Math. Imaging Vis., 2021)

Trajectory Inference via Mean-field Langevin in Path Space. - Lénaïc Chizat; Stephen Zhang; Matthieu Heitz; Geoffrey Schiebinger (NeurIPS, 2022)