Alberto González-Sanz
Alberto González-Sanz
Assistant professor, Columbia University, NY
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Cited by
Cited by
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
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
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
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
Central limit theorems for general transportation costs
E del Barrio, A González-Sanz, JM Loubes
arXiv preprint arXiv:2102.06379, 2021
Transport-based counterfactual models
L De Lara, A González-Sanz, N Asher, L Risser, JM Loubes
arXiv preprint arXiv:2108.13025, 2021
Central limit theorems for semi-discrete Wasserstein distances
E del Barrio, A González Sanz, JM Loubes
Bernoulli 30 (1), 554-580, 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
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
Nonparametric multiple-output center-outward quantile regression
E del Barrio, AG Sanz, M Hallin
arXiv preprint arXiv:2204.11756, 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
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
Diffeomorphic registration using Sinkhorn divergences
L De Lara, A González-Sanz, JM Loubes
SIAM Journal on Imaging Sciences 16 (1), 250-279, 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
Weak Limits for Empirical Entropic Optimal Transport: Beyond Smooth Costs
A González-Sanz, S Hundrieser
arXiv preprint arXiv:2305.09745, 2023
Regularity of center-outward distribution functions in non-convex domains
E del Barrio, AG Sanz
arXiv preprint arXiv:2303.16862, 2023
GAN estimation of Lipschitz optimal transport maps
A González-Sanz, L De Lara, L Béthune, JM Loubes
arXiv preprint arXiv:2202.07965, 2022
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
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
Monotone Measure-Preserving Maps in Hilbert Spaces: Existence, Uniqueness, and Stability
A González-Sanz, M Hallin, B Sen
arXiv preprint arXiv:2305.11751, 2023
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