Packed Ensembles for efficient uncertainty estimation. - Olivier Laurent 002; Adrien Lafage; Enzo Tartaglione; Geoffrey Daniel; Jean-Marc Martinez; Andrei Bursuc; Gianni Franchi (ICLR, 2023)

Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models. - Gianni Franchi; Olivier Laurent 002; Maxence Leguéry; Andrei Bursuc; Andrea Pilzer; Angela Yao (CVPR, 2024)

A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors. - Olivier Laurent 002; Emanuel Aldea; Gianni Franchi (ICLR, 2024)

Learning to generate training datasets for robust semantic segmentation. - Marwane Hariat; Olivier Laurent 002; Rémi Kazmierczak; Shihao Zhang; Andrei Bursuc; Angela Yao; Gianni Franchi (WACV, 2024)

Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It. - Guoxuan Xia; Olivier Laurent 002; Gianni Franchi; Christos-Savvas Bouganis (CoRR, 2024)

Towards Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It. - Guoxuan Xia; Olivier Laurent 002; Gianni Franchi; Christos-Savvas Bouganis (ICLR, 2025)