Eloïse Berthier

According to our database, Eloïse Berthier authored at least 17 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Enhancing Concept Localization in CLIP-based Concept Bottleneck Models.

Rémi Kazmierczak, Steve Azzolin, Goran Frehse, Eloïse Berthier, Gianni Franchi

Trans. Mach. Learn. Res., 2026

Benchmarking XAI Explanations with Human-Aligned Evaluations.

Rémi Kazmierczak, Steve Azzolin, Eloïse Berthier, Anna Hedström, Patricia Delhomme, David Filliat, Nicolas Bousquet, Goran Frehse, Massimiliano Mancini, Baptiste Caramiaux, Andrea Passerini, Gianni Franchi

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Convergence Guarantees for Federated SARSA with Local Training and Heterogeneous Agents.

Paul Mangold, Eloïse Berthier, Eric Moulines

CoRR, December, 2025

No-Regret Gaussian Process Optimization of Time-Varying Functions.

Eliabelle Mauduit, Eloïse Berthier, Andrea Simonetto

CoRR, December, 2025

KernelSOS for Global Sampling-Based Optimal Control and Estimation via Semidefinite Programming.

Antoine Groudiev, Fabian Schramm, Eloïse Berthier, Justin Carpentier, Frederike Dümbgen

CoRR, July, 2025

Concept-Based Mechanistic Interpretability Using Structured Knowledge Graphs.

Sofiia Chorna, Kateryna Tarelkina, Eloïse Berthier, Gianni Franchi

CoRR, July, 2025

Explainability for Vision Foundation Models: A Survey.

Rémi Kazmierczak, Eloïse Berthier, Goran Frehse, Gianni Franchi

CoRR, January, 2025

Explainability and vision foundation models: A survey.

Rémi Kazmierczak, Eloïse Berthier, Goran Frehse, Gianni Franchi

Inf. Fusion, 2025

Time-Varying Gaussian Process Bandit Optimization with Experts: No-Regret in Logarithmically-Many Side Queries.

Eliabelle Mauduit, Eloïse Berthier, Andrea Simonetto

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

2024

CLIP-QDA: An Explainable Concept Bottleneck Model.

Rémi Kazmierczak, Eloïse Berthier, Goran Frehse, Gianni Franchi

Trans. Mach. Learn. Res., 2024

Benchmarking XAI Explanations with Human-Aligned Evaluations.

Rémi Kazmierczak, Steve Azzolin, Eloïse Berthier, Anna Hedström, Patricia Delhomme, Nicolas Bousquet, Goran Frehse, Massimiliano Mancini, Baptiste Caramiaux, Andrea Passerini, Gianni Franchi

CoRR, 2024

On Double Descent in Reinforcement Learning with LSTD and Random Features.

David Brellmann, Eloïse Berthier, David Filliat, Goran Frehse

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2022

Efficient Algorithms for Control and Reinforcement Learning. (Algorithmes efficaces pour le contrôle et l'apprentissage par renforcement).

Eloïse Berthier

PhD thesis, 2022

A Non-asymptotic Analysis of Non-parametric Temporal-Difference Learning.

Eloïse Berthier, Ziad Kobeissi, Francis R. Bach

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Infinite-Dimensional Sums-of-Squares for Optimal Control.

Eloïse Berthier, Justin Carpentier, Alessandro Rudi, Francis R. Bach

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Fast and Robust Stability Region Estimation for Nonlinear Dynamical Systems.

Eloïse Berthier, Justin Carpentier, Francis R. Bach

Proceedings of the 2021 European Control Conference, 2021

2020

Max-Plus Linear Approximations for Deterministic Continuous-State Markov Decision Processes.

Eloïse Berthier, Francis R. Bach

IEEE Control. Syst. Lett., 2020