Max-Plus Linear Approximations for Deterministic Continuous-State Markov Decision Processes. - Eloïse Berthier; Francis R. Bach (IEEE Control. Syst. Lett., 2020)

Fast and Robust Stability Region Estimation for Nonlinear Dynamical Systems. - Eloïse Berthier; Justin Carpentier; Francis R. Bach (ECC, 2021)

Infinite-Dimensional Sums-of-Squares for Optimal Control. - Eloïse Berthier; Justin Carpentier; Alessandro Rudi; Francis R. Bach (CDC, 2022)

A Non-asymptotic Analysis of Non-parametric Temporal-Difference Learning. - Eloïse Berthier; Ziad Kobeissi; Francis R. Bach (NeurIPS, 2022)

Efficient Algorithms for Control and Reinforcement Learning. (Algorithmes efficaces pour le contrôle et l'apprentissage par renforcement). - Eloïse Berthier (2022)

On Double Descent in Reinforcement Learning with LSTD and Random Features. - David Brellmann; Eloïse Berthier; David Filliat; Goran Frehse (ICLR, 2024)

Benchmarking XAI Explanations with Human-Aligned Evaluations. - Rémi Kazmierczak; Steve Azzolin; Eloïse Berthier; Anna Hedström; Patricia Delhomme; Nicolas Bousquet 001; Goran Frehse; Massimiliano Mancini; Baptiste Caramiaux; Andrea Passerini; Gianni Franchi (CoRR, 2024)

CLIP-QDA: An Explainable Concept Bottleneck Model. - Rémi Kazmierczak; Eloïse Berthier; Goran Frehse; Gianni Franchi (Trans. Mach. Learn. Res., 2024)

Explainability and vision foundation models: A survey. - Rémi Kazmierczak; Eloïse Berthier; Goran Frehse; Gianni Franchi (Inf. Fusion, 2025)

Explainability for Vision Foundation Models: A Survey. - Rémi Kazmierczak; Eloïse Berthier; Goran Frehse; Gianni Franchi (CoRR, 2025)

Concept-Based Mechanistic Interpretability Using Structured Knowledge Graphs. - Sofiia Chorna; Kateryna Tarelkina; Eloïse Berthier; Gianni Franchi (CoRR, 2025)

KernelSOS for Global Sampling-Based Optimal Control and Estimation via Semidefinite Programming. - Antoine Groudiev; Fabian Schramm; Eloïse Berthier; Justin Carpentier; Frederike Dümbgen (CoRR, 2025)