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Pay attention to your loss: understanding misconceptions about 1-Lipschitz neural networks

 Louis Béthune , Thibaut Boissin , Mathieu Serrurier , Franck Mamalet , Corentin Friedrich , et al.
Advances in Neural Information Processing Systems, Nov 2022, New Orleans, United States. ⟨10.48550/arXiv.2104.05097⟩
Communication dans un congrès hal-03872080v1
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Transport-based Counterfactual Models

 Lucas de Lara , Alberto González-Sanz , Nicholas Asher , Laurent Risser , Jean-Michel Loubes
2023
Pré-publication, Document de travail hal-03216124v3
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Central Limit Theorems for General Transportation Costs

 Eustasio del Barrio , Alberto González-Sanz , Jean-Michel Loubes
2021
Pré-publication, Document de travail hal-03136113v2

Achieving robustness in classification using optimal transport with hinge regularization

 Mathieu Serrurier , Franck Mamalet , Alberto González-Sanz , Thibaut Boissin , Jean-Michel Loubes , et al.
Conference on Computer Vision and Pattern Recognition, Jun 2021, Virtuel, Canada. ⟨10.1109/CVPR46437.2021.00057⟩
Communication dans un congrès hal-03033400v1
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Two-sample goodness-of-fit tests on the flat torus based on Wasserstein distance and their relevance to structural biology

 Javier González-Delgado , Alberto González-Sanz , Juan Cortés , Pierre Neuvial
Electronic Journal of Statistics , 2023, 17 (1), pp.1547-1586. ⟨10.1214/23-EJS2135⟩
Article dans une revue hal-03369795v3
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GAN Estimation of Lipschitz Optimal Transport Maps

 Alberto González-Sanz , Lucas de Lara , Louis Béthune , Jean-Michel Loubes
2022
Pré-publication, Document de travail hal-03575178v1
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A Consistent Extension of Discrete Optimal Transport Maps for Machine Learning Applications

 Lucas de Lara , Alberto González-Sanz , Jean-Michel Loubes
2021
Pré-publication, Document de travail hal-03142788v1
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Diffeomorphic Registration using Sinkhorn Divergences

 Lucas de Lara , Alberto González-Sanz , Jean-Michel Loubes
2022
Pré-publication, Document de travail hal-03705992v2
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A Central Limit Theorems for Semidiscrete Wasserstein Distances

 Eustasio del Barrio , Alberto González-Sanz , Jean-Michel Loubes
2023
Pré-publication, Document de travail hal-03232450v3

Tackling Algorithmic Bias in Neural-Network Classifiers using Wasserstein-2 Regularization

 Laurent Risser , Alberto González-Sanz , Quentin Vincenot , Jean-Michel Loubes
Journal of Mathematical Imaging and Vision, 2022
Article dans une revue hal-03324550v1

Gaussian Processes on Distributions based on Regularized Optimal Transport

 François Bachoc , Louis Béthune , Alberto González-Sanz , Jean-Michel Loubes
26th International Conference on Artificial Intelligence and Statistics (AISTATS 2023), Apr 2023, Valencia, Spain. ⟨10.48550/arXiv.2210.06574⟩
Communication dans un congrès hal-03981114v1
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