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ORCIDAlberto González-Sanz
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2020 – today
- 2024
[j5]Lucas de Lara, Alberto González-Sanz, Nicholas Asher, Laurent Risser, Jean-Michel Loubes:
Transport-based Counterfactual Models. J. Mach. Learn. Res. 25: 136:1-136:59 (2024)- [i7]Lucas de Lara, Mathis Deronzier, Alberto González-Sanz, Virgile Foy:
On the nonconvexity of some push-forward constraints and its consequences in machine learning. CoRR abs/2403.07471 (2024) - 2023
- [j4]Lucas de Lara, Alberto González-Sanz
, Jean-Michel Loubes:
Diffeomorphic Registration Using Sinkhorn Divergences. SIAM J. Imaging Sci. 16(1): 250-279 (2023) - [j3]Eustasio del Barrio, Alberto González-Sanz, Jean-Michel Loubes, Jonathan Niles-Weed:
An Improved Central Limit Theorem and Fast Convergence Rates for Entropic Transportation Costs. SIAM J. Math. Data Sci. 5(3): 639-669 (2023) - [c3]François Bachoc, Louis Béthune, Alberto González-Sanz, Jean-Michel Loubes:
Gaussian Processes on Distributions based on Regularized Optimal Transport. AISTATS 2023: 4986-5010 - 2022
- [j2]Laurent Risser, Alberto González-Sanz, Quentin Vincenot, Jean-Michel Loubes:
Tackling Algorithmic Bias in Neural-Network Classifiers using Wasserstein-2 Regularization. J. Math. Imaging Vis. 64(6): 672-689 (2022) - [c2]Louis Béthune, Thibaut Boissin, Mathieu Serrurier, Franck Mamalet, Corentin Friedrich, Alberto González-Sanz:
Pay attention to your loss : understanding misconceptions about Lipschitz neural networks. NeurIPS 2022 - [i6]Alberto González-Sanz, Lucas de Lara, Louis Béthune, Jean-Michel Loubes:
GAN Estimation of Lipschitz Optimal Transport Maps. CoRR abs/2202.07965 (2022) - [i5]Eustasio del Barrio, Alberto González-Sanz, Jean-Michel Loubes, Jonathan Niles-Weed:
An improved central limit theorem and fast convergence rates for entropic transportation costs. CoRR abs/2204.09105 (2022) - [i4]François Bachoc, Louis Béthune, Alberto González-Sanz, Jean-Michel Loubes:
Gaussian Processes on Distributions based on Regularized Optimal Transport. CoRR abs/2210.06574 (2022) - 2021
- [c1]Mathieu Serrurier, Franck Mamalet, Alberto González-Sanz, Thibaut Boissin, Jean-Michel Loubes, Eustasio del Barrio:
Achieving Robustness in Classification Using Optimal Transport With Hinge Regularization. CVPR 2021: 505-514 - [i3]Louis Béthune, Alberto González-Sanz, Franck Mamalet, Mathieu Serrurier:
The Many Faces of 1-Lipschitz Neural Networks. CoRR abs/2104.05097 (2021) - [i2]Lucas de Lara, Alberto González-Sanz, Nicholas Asher, Jean-Michel Loubes:
Transport-based Counterfactual Models. CoRR abs/2108.13025 (2021) - 2020
- [j1]Eustasio del Barrio, Alberto González-Sanz, Marc Hallin:
A note on the regularity of optimal-transport-based center-outward distribution and quantile functions. J. Multivar. Anal. 180: 104671 (2020) - [i1]Mathieu Serrurier, Franck Mamalet, Alberto González-Sanz, Thibaut Boissin, Jean-Michel Loubes, Eustasio del Barrio:
Achieving robustness in classification using optimal transport with hinge regularization. CoRR abs/2006.06520 (2020)
Coauthor Index
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