| Transport-based counterfactual models L De Lara, A González-Sanz, N Asher, L Risser, JM Loubes arXiv preprint arXiv:2108.13025, 2021 | 28* | 2021 |
| Counterfactual models for fair and adequate explanations N Asher, L De Lara, S Paul, C Russell Machine Learning and Knowledge Extraction 4 (2), 316-349, 2022 | 11 | 2022 |
| Diffeomorphic registration using Sinkhorn divergences L De Lara, A González-Sanz, JM Loubes SIAM Journal on Imaging Sciences 16 (1), 250-279, 2023 | 8 | 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 | 6 | 2021 |
| GAN estimation of Lipschitz optimal transport maps A González-Sanz, L De Lara, L Béthune, JM Loubes arXiv preprint arXiv:2202.07965, 2022 | 2 | 2022 |
| On the (in)compatibility between potential outcomes and structural causal models and its signification in counterfactual inference L De Lara arXiv preprint arXiv:2309.05997, 2023 | 1* | 2023 |
| On the nonconvexity of some push-forward constraints and its consequences in machine learning L De Lara, M Deronzier, A González-Sanz, V Foy arXiv preprint arXiv:2403.07471, 2024 | | 2024 |
| Modèles contrefactuels pour un apprentissage machine explicable et juste: une approche par transport de masse L de Lara Université Paul Sabatier-Toulouse III, 2023 | | 2023 |
Alberto González-SanzAssistant professor, Columbia University, NYGeverifieerd e-mailadres voor columbia.edu
