| Wasserstein regularization for sparse multi-task regression H Janati, M Cuturi, A Gramfort The 22nd International Conference on Artificial Intelligence and Statistics, 2019 | 27 | 2019 |
| pyts: A Python Package for Time Series Classification J Faouzi, H Janati Journal of Machine learning research 21 (46), 2020 | 15 | 2020 |
| Identification of a transient state during the acquisition of temozolomide resistance in glioblastoma M Rabé, S Dumont, A Álvarez-Arenas, H Janati, J Belmonte-Beitia, ... Cell death & disease 11 (1), 1-14, 2020 | 13 | 2020 |
| Entropic optimal transport between (unbalanced) gaussian measures has a closed form H Janati, B Muzellec, G Peyré, M Cuturi Thirty-fourth Conference on Neural Information Processing Systems, 2020 | 10 | 2020 |
| Debiased Sinkhorn barycenters H Janati, M Cuturi, A Gramfort Thirty-seventh International Conference on Machine Learning, 2020 | 6 | 2020 |
| Group level MEG/EEG source imaging via optimal transport: minimum Wasserstein estimates H Janati, T Bazeille, B Thirion, M Cuturi, A Gramfort International Conference on Information Processing in Medical Imaging, 743-754, 2019 | 5 | 2019 |
| Multi-subject MEG/EEG source imaging with sparse multi-task regression H Janati, T Bazeille, B Thirion, M Cuturi, A Gramfort NeuroImage 220, 116847, 2020 | 4 | 2020 |
| Local optimal transport for functional brain template estimation T Bazeille, H Richard, H Janati, B Thirion International Conference on Information Processing in Medical Imaging, 237-248, 2019 | 4 | 2019 |
| Spatio-Temporal Alignments: Optimal transport through space and time H Janati, M Cuturi, A Gramfort The 23rd International Conference on Artificial Intelligence and Statistics, 2020 | 3 | 2020 |
| Investigating cancer resistance in a Glioblastoma cell line with gene expression data H Janati | 1 | 2016 |
Marco CuturiGoogle Brain / CREST-ENSAE.Dirección de correo verificada de google.com
