| Pot: Python optimal transport R Flamary, N Courty, A Gramfort, MZ Alaya, A Boisbunon, S Chambon, ... Journal of Machine Learning Research 22 (78), 1-8, 2021 | 1066 | 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 | 153 | 2020 |
| Screening sinkhorn algorithm for regularized optimal transport MZ Alaya, M Berar, G Gasso, A Rakotomamonjy Advances in Neural Information Processing Systems 32, 2019 | 54 | 2019 |
| Binarsity: a penalization for one-hot encoded features in linear supervised learning MZ Alaya, S Bussy, S Gaïffas, A Guilloux Journal of Machine Learning Research 20 (118), 1-34, 2019 | 42 | 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 | 35 | 2022 |
| Collective matrix completion MZ Alaya, O Klopp Journal of Machine Learning Research 20 (148), 1-43, 2019 | 24 | 2019 |
| 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 | 14 | 2015 |
| Theoretical guarantees for bridging metric measure embedding and optimal transport MZ Alaya, M Bérar, G Gasso, A Rakotomamonjy Neurocomputing 468, 416-430, 2022 | 9 | 2022 |
| 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 55 (6), 2276-2282, 2023 | 7 | 2023 |
| Statistical and topological properties of gaussian smoothed sliced probability divergences A Rakotomamonjy, MZ Alaya, M Berar, G Gasso arXiv preprint arXiv:2110.10524, 2021 | 5 | 2021 |
| Match and reweight strategy for generalized target shift A Rakotomamonjy, R Flamary, G Gasso, M Alaya, M Berar, N Courty | 3 | 2020 |
| Poisson access networks with shadowing: Modelling and statistical inference MZ Alaya | 2 | 2011 |
| Adversarial Semi-supervised domain adaptation for semantic segmentation: A new role for labeled target samples M Kechaou, MZ Alaya, R Hérault, G Gasso Computer Vision and Image Understanding, 104305, 2025 | 1 | 2025 |
| 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 | 1 | 2022 |
| Heterogeneous Wasserstein Discrepancy for Incomparable Distributions MZ Alaya, G Gasso, M Berar, A Rakotomamonjy arXiv preprint arXiv:2106.02542, 2021 | 1 | 2021 |
| Open set domain adaptation using optimal transport M Kechaou, R Herault, MZ Alaya, G Gasso Joint European Conference on Machine Learning and Knowledge Discovery in …, 2020 | 1 | 2020 |
| Bounds in Wasserstein distance for locally stationary processes JNG Tinio, MZ Alaya, S Bouzebda arXiv preprint arXiv:2412.03414, 2024 | | 2024 |
| Gaussian-Smoothed Sliced Probability Divergences MZ Alaya, A Rakotomamonjy, M Berar, G Gasso arXiv preprint arXiv:2404.03273, 2024 | | 2024 |
| Github GitHub-PythonOT/POT: POT: Python Optimal Transport S Wasserstein, R Flamary, N Courty, A Gramfort, MZ Alaya, A Boisbunon, ... Journal of Machine Learning Research 22 (78), 1-8, 2021 | | 2021 |
| Distributional Sliced Embedding Discrepancy for Incomparable Distributions MZ Alaya, G Gasso, M Bérar, A Rakotomamonjy CoRR, 2021 | | 2021 |
Alain RakotomamonjyCriteo AI LabVerified email at insa-rouen.fr
