Hicham Janati

According to our database, Hicham Janati authored at least 13 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Fast kernel half-space depth for data with non-convex supports.

Arturo Castellanos, Pavlo Mozharovskyi, Florence d'Alché-Buc, Hicham Janati

CoRR, 2023

Unbalanced CO-optimal Transport.

Quang Huy Tran, Hicham Janati, Nicolas Courty, Rémi Flamary, Ievgen Redko, Pinar Demetci, Ritambhara Singh

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Averaging Spatio-temporal Signals using Optimal Transport and Soft Alignments.

Hicham Janati, Marco Cuturi, Alexandre Gramfort

CoRR, 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

Factored couplings in multi-marginal optimal transport via difference of convex programming.

Quang Huy Tran, Hicham Janati, Ievgen Redko, Rémi Flamary, Nicolas Courty

CoRR, 2021

2020

Multi-subject MEG/EEG source imaging with sparse multi-task regression.

Hicham Janati, Thomas Bazeille, Bertrand Thirion, Marco Cuturi, Alexandre Gramfort

NeuroImage, 2020

pyts: A Python Package for Time Series Classification.

Johann Faouzi, Hicham Janati

J. Mach. Learn. Res., 2020

Entropic Optimal Transport between Unbalanced Gaussian Measures has a Closed Form.

Hicham Janati, Boris Muzellec, Gabriel Peyré, Marco Cuturi

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

Debiased Sinkhorn barycenters.

Hicham Janati, Marco Cuturi, Alexandre Gramfort

Proceedings of the 37th International Conference on Machine Learning, 2020

Spatio-temporal alignments: Optimal transport through space and time.

Hicham Janati, Marco Cuturi, Alexandre Gramfort

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Group Level MEG/EEG Source Imaging via Optimal Transport: Minimum Wasserstein Estimates.

Hicham Janati, Thomas Bazeille, Bertrand Thirion, Marco Cuturi, Alexandre Gramfort

Proceedings of the Information Processing in Medical Imaging, 2019

Local Optimal Transport for Functional Brain Template Estimation.

Thomas Bazeille, Hugo Richard, Hicham Janati, Bertrand Thirion

Proceedings of the Information Processing in Medical Imaging, 2019

Wasserstein regularization for sparse multi-task regression.

Hicham Janati, Marco Cuturi, Alexandre Gramfort

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019