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2020 – today
- 2024
[c3]Audrey Poinsot, Alessandro Leite, Nicolas Chesneau, Michèle Sebag, Marc Schoenauer:
Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and Challenges. IJCAI 2024: 8207-8215- [i3]Edgar Jaber, Vincent Blot, Nicolas J.-B. Brunel, Vincent Chabridon, Emmanuel Remy, Bertrand Iooss, Didier Lucor, Mathilde Mougeot, Alessandro Leite:
Conformal Approach To Gaussian Process Surrogate Evaluation With Coverage Guarantees. CoRR abs/2401.07733 (2024) - [i2]Audrey Poinsot, Alessandro Leite, Nicolas Chesneau, Michèle Sebag, Marc Schoenauer:
Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and Challenges. CoRR abs/2405.05025 (2024) - 2023
- [c2]Mathurin Videau
, Nickolai Knizev, Alessandro Leite, Marc Schoenauer, Olivier Teytaud:
Interactive Latent Diffusion Model. GECCO 2023: 586-596 - [i1]Audrey Poinsot, Alessandro Leite:
A Guide for Practical Use of ADMG Causal Data Augmentation. CoRR abs/2304.01237 (2023) - 2022
- [c1]Mathurin Videau, Alessandro Leite, Olivier Teytaud, Marc Schoenauer:
Multi-objective Genetic Programming for Explainable Reinforcement Learning. EuroGP 2022: 278-293
Coauthor Index
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