Mokhtar Z. Alaya

According to our database, Mokhtar Z. Alaya authored at least 20 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Bounds in Wasserstein distance for locally stationary functional time series.

Jan Nino G. Tinio, Mokhtar Z. Alaya, Salim Bouzebda

Comput. Stat., April, 2026

2025

Sparsified-Learning for Heavy-Tailed Locally Stationary Processes.

Yingjie Wang, Mokhtar Z. Alaya, Salim Bouzebda, Xinsheng Liu

CoRR, April, 2025

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

PatchTrAD: A Patch-Based Transformer Focusing on Patch-Wise Reconstruction Error for Time Series Anomaly Detection.

Samy-Melwan Vilhes, Gilles Gasso, Mokhtar Z. Alaya

Proceedings of the 33rd European Signal Processing Conference, 2025

2024

Gaussian-Smoothed Sliced Probability Divergences.

Mokhtar Z. Alaya, Alain Rakotomamonjy, Maxime Berar, Gilles Gasso

Trans. Mach. Learn. Res., 2024

2022

Theoretical guarantees for bridging metric measure embedding and optimal transport.

Mokhtar Z. Alaya, Maxime Bérar, Gilles Gasso, Alain Rakotomamonjy

Neurocomputing, 2022

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, Hicham Janati, Alain Rakotomamonjy, Ievgen Redko, Antoine Rolet, Antony Schutz, Vivien Seguy, Danica J. Sutherland, Romain Tavenard, Alexander Tong, Titouan Vayer

J. Mach. Learn. Res., 2021

Statistical and Topological Properties of Gaussian Smoothed Sliced Probability Divergences.

Alain Rakotomamonjy, Mokhtar Z. Alaya, Maxime Berar, Gilles Gasso

CoRR, 2021

Distributional Sliced Embedding Discrepancy for Incomparable Distributions.

Mokhtar Z. Alaya, Gilles Gasso, Maxime Berar, Alain Rakotomamonjy

CoRR, 2021

2020

Match and Reweight Strategy for Generalized Target Shift.

Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, Mokhtar Z. Alaya, Maxime Berar, Nicolas Courty

CoRR, 2020

Non-Aligned Distribution Distance using Metric Measure Embedding and Optimal Transport.

Mokhtar Z. Alaya, Maxime Bérar, Gilles Gasso, Alain Rakotomamonjy

CoRR, 2020

Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning.

Laetitia Chapel, Mokhtar Z. Alaya, Gilles Gasso

CoRR, 2020

Open Set Domain Adaptation Using Optimal Transport.

Marwa Kechaou, Romain Hérault, Mokhtar Z. Alaya, Gilles Gasso

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Partial Optimal Tranport with applications on Positive-Unlabeled Learning.

Laetitia Chapel, Mokhtar Z. Alaya, Gilles Gasso

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Collective Matrix Completion.

Mokhtar Z. Alaya, Olga Klopp

J. Mach. Learn. Res., 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

Screening Sinkhorn Algorithm for Regularized Optimal Transport.

Mokhtar Z. Alaya, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

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

2016

Segmentation of Counting Processes and Dynamical Models. (Segmentation de Processus de Comptage et Modèles Dynamiques).

Mokhtar Z. Alaya

PhD thesis, 2016

2015

Learning the Intensity of Time Events With Change-Points.

Mokhtar Z. Alaya, Stéphane Gaïffas, Agathe Guilloux

IEEE Trans. Inf. Theory, 2015