Xplique: A Deep Learning Explainability Toolbox. - Thomas Fel; Lucas Hervier; David Vigouroux; Antonin Poché; Justin Plakoo; Rémi Cadène; Mathieu Chalvidal; Julien Colin; Thibaut Boissin; Louis Béthune; Agustin Martin Picard; Claire Nicodeme; et al. (CoRR, 2022)

Natural Example-Based Explainability: A Survey. - Antonin Poché; Lucas Hervier; Mohamed Chafik Bakkay (xAI (2), 2023)

ConSim: Measuring Concept-Based Explanations' Effectiveness with Automated Simulatability. - Antonin Poché; Alon Jacovi; Agustin Martin Picard; Victor Boutin; Fanny Jourdan (ACL (1), 2025)