Learning the Intensity of Time Events With Change-Points. - Mokhtar Z. Alaya; Stéphane Gaïffas; Agathe Guilloux (IEEE Trans. Inf. Theory, 2015)

Segmentation of Counting Processes and Dynamical Models. (Segmentation de Processus de Comptage et Modèles Dynamiques). - Mokhtar Z. Alaya (2016)

Binacox: automatic cut-points detection in high-dimensional Cox model, with applications to genetic data. - Simon Bussy; Mokhtar Z. Alaya; Agathe Guilloux; Anne-Sophie Jannot (CoRR, 2018)

Screening Sinkhorn Algorithm for Regularized Optimal Transport. - Mokhtar Z. Alaya; Maxime Berar; Gilles Gasso; Alain Rakotomamonjy (NeurIPS, 2019)

Binarsity: a penalization for one-hot encoded features in linear supervised learning. - Mokhtar Z. Alaya; Simon Bussy; Stéphane Gaïffas; Agathe Guilloux (J. Mach. Learn. Res., 2019)

Collective Matrix Completion. - Mokhtar Z. Alaya; Olga Klopp (J. Mach. Learn. Res., 2019)

Partial Optimal Tranport with applications on Positive-Unlabeled Learning. - Laetitia Chapel; Mokhtar Z. Alaya; Gilles Gasso (NeurIPS, 2020)

Open Set Domain Adaptation Using Optimal Transport. - Marwa Kechaou; Romain Hérault; Mokhtar Z. Alaya; Gilles Gasso (ECML/PKDD (1), 2020)

Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning. - Laetitia Chapel; Mokhtar Z. Alaya; Gilles Gasso (CoRR, 2020)

Non-Aligned Distribution Distance using Metric Measure Embedding and Optimal Transport. - Mokhtar Z. Alaya; Maxime Bérar; Gilles Gasso; Alain Rakotomamonjy (CoRR, 2020)

Match and Reweight Strategy for Generalized Target Shift. - Alain Rakotomamonjy; Rémi Flamary; Gilles Gasso; Mokhtar Z. Alaya; Maxime Berar; Nicolas Courty (CoRR, 2020)

Distributional Sliced Embedding Discrepancy for Incomparable Distributions. - Mokhtar Z. Alaya; Gilles Gasso; Maxime Berar; Alain Rakotomamonjy (CoRR, 2021)

Statistical and Topological Properties of Gaussian Smoothed Sliced Probability Divergences. - Alain Rakotomamonjy; Mokhtar Z. Alaya; Maxime Berar; Gilles Gasso (CoRR, 2021)

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)

Theoretical guarantees for bridging metric measure embedding and optimal transport. - Mokhtar Z. Alaya; Maxime Bérar; Gilles Gasso; Alain Rakotomamonjy (Neurocomputing, 2022)

Gaussian-Smoothed Sliced Probability Divergences. - Mokhtar Z. Alaya; Alain Rakotomamonjy; Maxime Berar; Gilles Gasso (Trans. Mach. Learn. Res., 2024)

Adversarial Semi-supervised domain adaptation for semantic segmentation: A new role for labeled target samples. - Marwa Kechaou; Mokhtar Z. Alaya; Romain Hérault; Gilles Gasso (Comput. Vis. Image Underst., 2025)

Sparsified-Learning for Heavy-Tailed Locally Stationary Processes. - Yingjie Wang; Mokhtar Z. Alaya; Salim Bouzebda; Xinsheng Liu (CoRR, 2025)

PatchTrAD: A Patch-Based Transformer focusing on Patch-Wise Reconstruction Error for Time Series Anomaly Detection. - Samy-Melwan Vilhes; Gilles Gasso; Mokhtar Z. Alaya (CoRR, 2025)