COSMIC: Mutual Information for Task-Agnostic Summarization Evaluation. - Maxime Darrin; Philippe Formont; Jackie Chi Kit Cheung; Pablo Piantanida (ACL (1), 2024)

When is an Embedding Model More Promising than Another? - Maxime Darrin; Philippe Formont; Ismail Ben Ayed; Jackie CK Cheung; Pablo Piantanida (NeurIPS, 2024)

Is Meta-training Really Necessary for Molecular Few-Shot Learning ? - Philippe Formont; Hugo Jeannin; Pablo Piantanida; Ismail Ben Ayed (CoRR, 2024)

When is an Embedding Model More Promising than Another? - Maxime Darrin; Philippe Formont; Ismail Ben Ayed; Jackie C. K. Cheung; Pablo Piantanida (CoRR, 2024)

Statistical Deficiency for Task Inclusion Estimation. - Loïc Fosse; Frédéric Béchet; Benoît Favre; Géraldine Damnati; Gwénolé Lecorvé; Maxime Darrin; Philippe Formont; Pablo Piantanida (ACL (1), 2025)

A Strong Baseline for Molecular Few-Shot Learning. - Philippe Formont; Hugo Jeannin; Pablo Piantanida; Ismail Ben Ayed (Trans. Mach. Learn. Res., 2025)

Membership Inference Risks in Quantized Models: A Theoretical and Empirical Study. - Eric Aubinais; Philippe Formont; Pablo Piantanida; Elisabeth Gassiat (CoRR, 2025)