Lucas de Lara

According to our database, Lucas de Lara authored at least 6 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

On the nonconvexity of some push-forward constraints and its consequences in machine learning.

Lucas de Lara, Mathis Deronzier, Alberto González-Sanz, Virgile Foy

CoRR, 2024

2023

Diffeomorphic Registration Using Sinkhorn Divergences.

Lucas de Lara, Alberto González-Sanz, Jean-Michel Loubes

SIAM J. Imaging Sci., March, 2023

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).

Lucas de Lara

PhD thesis, 2023

2022

Counterfactual Models for Fair and Adequate Explanations.

Nicholas Asher, Lucas de Lara, Soumya Paul, Chris Russell

Mach. Learn. Knowl. Extr., 2022

GAN Estimation of Lipschitz Optimal Transport Maps.

Alberto González-Sanz, Lucas de Lara, Louis Béthune, Jean-Michel Loubes

CoRR, 2022

2021

Transport-based Counterfactual Models.

Lucas de Lara, Alberto González-Sanz, Nicholas Asher, Jean-Michel Loubes

CoRR, 2021