| Achieving robustness in classification using optimal transport with hinge regularization M Serrurier, F Mamalet, A González-Sanz, T Boissin, JM Loubes, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 46 | 2021 |
| A note on the regularity of optimal-transport-based center-outward distribution and quantile functions E del Barrio, A González-Sanz, M Hallin Journal of Multivariate Analysis 180, 104671, 2020 | 37 | 2020 |
| An improved central limit theorem and fast convergence rates for entropic transportation costs E del Barrio, AG Sanz, JM Loubes, J Niles-Weed SIAM Journal on Mathematics of Data Science 5 (3), 639-669, 2023 | 33 | 2023 |
| Pay attention to your loss: understanding misconceptions about lipschitz neural networks L Béthune, T Boissin, M Serrurier, F Mamalet, C Friedrich, ... Advances in Neural Information Processing Systems 35, 20077-20091, 2022 | 32* | 2022 |
| Transport-based counterfactual models L De Lara, A González-Sanz, N Asher, L Risser, JM Loubes arXiv preprint arXiv:2108.13025, 2021 | 28* | 2021 |
| Central limit theorems for general transportation costs E del Barrio, A González-Sanz, JM Loubes arXiv preprint arXiv:2102.06379, 2021 | 26 | 2021 |
| Central limit theorems for semi-discrete Wasserstein distances E del Barrio, A González Sanz, JM Loubes Bernoulli 30 (1), 554-580, 2024 | 21 | 2024 |
| Weak limits of entropy regularized optimal transport; potentials, plans and divergences A Gonzalez-Sanz, JM Loubes, J Niles-Weed arXiv preprint arXiv:2207.07427, 2022 | 21 | 2022 |
| Tackling algorithmic bias in neural-network classifiers using wasserstein-2 regularization L Risser, AG Sanz, Q Vincenot, JM Loubes Journal of Mathematical Imaging and Vision 64 (6), 672-689, 2022 | 16 | 2022 |
| Nonparametric multiple-output center-outward quantile regression E del Barrio, AG Sanz, M Hallin arXiv preprint arXiv:2204.11756, 2022 | 15 | 2022 |
| Two-sample goodness-of-fit tests on the flat torus based on Wasserstein distance and their relevance to structural biology J González-Delgado, A González-Sanz, J Cortés, P Neuvial Electronic Journal of Statistics 17 (1), 1547-1586, 2023 | 14 | 2023 |
| Gaussian processes on distributions based on regularized optimal transport F Bachoc, L Béthune, A Gonzalez-Sanz, JM Loubes International Conference on Artificial Intelligence and Statistics, 4986-5010, 2023 | 10 | 2023 |
| Diffeomorphic registration using Sinkhorn divergences L De Lara, A González-Sanz, JM Loubes SIAM Journal on Imaging Sciences 16 (1), 250-279, 2023 | 9 | 2023 |
| A consistent extension of discrete optimal transport maps for machine learning applications L De Lara, A González-Sanz, JM Loubes arXiv preprint arXiv:2102.08644, 2021 | 7 | 2021 |
| Weak limits for empirical entropic optimal transport: Beyond smooth costs A González-Sanz, S Hundrieser arXiv preprint arXiv:2305.09745, 2023 | 6 | 2023 |
| Regularity of center-outward distribution functions in non-convex domains E del Barrio, AG Sanz arXiv preprint arXiv:2303.16862, 2023 | 3 | 2023 |
| Gan estimation of lipschitz optimal transport maps A González-Sanz, L De Lara, L Béthune, JM Loubes arXiv preprint arXiv:2202.07965, 2022 | 2 | 2022 |
| On the nonconvexity of some push-forward constraints and its consequences in machine learning L De Lara, M Deronzier, A González-Sanz, V Foy arXiv preprint arXiv:2403.07471, 2024 | | 2024 |
| Nonlinear Inverse Optimal Transport: Identifiability of the Transport Cost from its Marginals and Optimal Values A González-Sanz, M Groppe, A Munk arXiv preprint arXiv:2312.05843, 2023 | | 2023 |
| Improved learning theory for kernel distribution regression with two-stage sampling F Bachoc, L Béthune, A González-Sanz, JM Loubes arXiv preprint arXiv:2308.14335, 2023 | | 2023 |
Jean-Michel LoubesInstitut de Mathématiques de Toulouse & ANITIEmail được xác minh tại math.univ-toulouse.fr
