Thesis

Antoine Rolet. Optimal Transport Dictionary Learning and Non-negative Matrix Factorization. Defended on February 2021. PDF

Articles

Antoine Rolet, Vivien Seguy. Fast optimal transport regularized projection and application to coefficient shrinkage and filtering. In The Visual Computer, 2021. Accepted version | Code

Antoine Rolet, Vivien Seguy, Mathieu Blondel, Hiroshi Sawada. Blind Source Separation with Optimal Transport Non-negative Matrix Factorization. In EURASIP Journal on Advances in Signal Processing, 2018.

Vivien Seguy, Bharath Bhushan Damodaran, Rémi Flamary, Nicolas Courty, Antoine Rolet, Mathieu Blondel. Large-Scale Optimal Transport and Mapping Estimation. In International Conference on Learning Representations, 2018.

Mathieu Blondel, Vivien Seguy, Antoine Rolet. Smooth and Sparse Optimal Transport. In Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics (AISTATS), 2018.

Antoine Rolet, Marco Cuturi and Gabriel Peyré. Fast Dictionary Learning with a Smoothed Wasserstein Loss. In Proceedings of the 19th International Conference on Artificial Intelligence and Statistics (AISTATS) 2016, Cadiz, Spain. JMLR: W&CP volume 41. Supplementary materials | Code