| Pot: Python optimal transport R Flamary, N Courty, A Gramfort, MZ Alaya, A Boisbunon, S Chambon, ... The Journal of Machine Learning Research 22 (1), 3571-3578, 2021 | 530 | 2021 |
| Partial optimal tranport with applications on positive-unlabeled learning L Chapel, MZ Alaya, G Gasso Advances in Neural Information Processing Systems 33, 2903-2913, 2020 | 78* | 2020 |
| Screening sinkhorn algorithm for regularized optimal transport MZ Alaya, M Berar, G Gasso, A Rakotomamonjy Advances in Neural Information Processing Systems 32, 2019 | 45 | 2019 |
| Binarsity: a penalization for one-hot encoded features in linear supervised learning. MZ Alaya, S Bussy, S Gaïffas, A Guilloux J. Mach. Learn. Res. 20 (118), 1-34, 2019 | 28 | 2019 |
| Optimal transport for conditional domain matching and label shift A Rakotomamonjy, R Flamary, G Gasso, ME Alaya, M Berar, N Courty Machine Learning, 1-20, 2022 | 18 | 2022 |
| Learning the intensity of time events with change-points MZ Alaya, S Gaïffas, A Guilloux IEEE Transactions on Information Theory 61 (9), 5148-5171, 2015 | 15 | 2015 |
| Collective Matrix Completion. MZ Alaya, O Klopp J. Mach. Learn. Res. 20, 148:1-148:43, 2019 | 9 | 2019 |
| Theoretical guarantees for bridging metric measure embedding and optimal transport MZ Alaya, M Berar, G Gasso, A Rakotomamonjy Neurocomputing 468, 416-430, 2022 | 7 | 2022 |
| Statistical and topological properties of gaussian smoothed sliced probability divergences A Rakotomamonjy, MZ Alaya, M Berar, G Gasso arXiv preprint arXiv:2110.10524, 2021 | 3 | 2021 |
| Match and reweight strategy for generalized target shift A Rakotomamonjy, R Flamary, G Gasso, MZ Alaya, M Berar, N Courty | 3 | 2020 |
| Poisson access networks with shadowing: Modelling and statistical inference MZ Alaya | 2 | 2011 |
| Open Set Domain Adaptation using Optimal Transport M Kechaou, R Herault, MZ Alaya, G Gasso Machine Learning and Knowledge Discovery in Databases: European Conference …, 2021 | 1 | 2021 |
| Neutron spectrum unfolding using two architectures of convolutional neural networks M Bouhadida, A Mazzi, M Brovchenko, T Vinchon, MZ Alaya, W Monange, ... Nuclear Engineering and Technology, 2023 | | 2023 |
| Binacox: automatic cut‐point detection in high‐dimensional Cox model with applications in genetics S Bussy, MZ Alaya, AS Jannot, A Guilloux Biometrics 78 (4), 1414-1426, 2022 | | 2022 |
| Heterogeneous Wasserstein Discrepancy for Incomparable Distributions MZ Alaya, G Gasso, M Berar, A Rakotomamonjy arXiv preprint arXiv:2106.02542, 2021 | | 2021 |
| Distributional Sliced Embedding Discrepancy for Incomparable Distributions MZ Alaya, G Gasso, M Berar, A Rakotomamonjy CoRR, 2021 | | 2021 |
| Non-Aligned Distribution Distance using Metric Measure Embedding and Optimal Transport MZ Alaya, M Berar, G Gasso, A Rakotomamonjy CoRR, 2020 | | 2020 |
| High-dimensional time-varying Aalen and Cox models MZ Alaya, S Lemler, A Guilloux, T Allart | | 2018 |
| Supplementary material for: High-dimensional time-varying Aalen and Cox models MZ Alaya, T Allart, A Guilloux, S Lemler | | 2018 |
| Binacox: automatic cut-points detection in high-dimensional Cox model, with applications to genetic data. S Bussy, MZ Alaya, A Guilloux, AS Jannot CoRR, 2018 | | 2018 |
Alain RakotomamonjyCriteo AI Lab (on secondment from Université de Rouen)Verified email at insa-rouen.fr
