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2020 – today
- 2024
[j3]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)- [i3]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
- [b1]Lucas de Lara:
Modèles contrefactuels pour un apprentissage machine explicable et juste : une approche par transport de masse. (Counterfactual models for hair and explainable machine learning : a mass transportation approach). Paul Sabatier University, Toulouse, France, 2023 - [j2]Lucas de Lara, Alberto González-Sanz
, Jean-Michel Loubes:
Diffeomorphic Registration Using Sinkhorn Divergences. SIAM J. Imaging Sci. 16(1): 250-279 (2023) - 2022
- [j1]Nicholas Asher, Lucas de Lara, Soumya Paul, Chris Russell:
Counterfactual Models for Fair and Adequate Explanations. Mach. Learn. Knowl. Extr. 4(2): 316-349 (2022) - [i2]Alberto González-Sanz, Lucas de Lara, Louis Béthune, Jean-Michel Loubes:
GAN Estimation of Lipschitz Optimal Transport Maps. CoRR abs/2202.07965 (2022) - 2021
- [i1]Lucas de Lara, Alberto González-Sanz, Nicholas Asher, Jean-Michel Loubes:
Transport-based Counterfactual Models. CoRR abs/2108.13025 (2021)
Coauthor Index
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