Laurent, Olivier

6 publications

NeurIPS 2025 Torch-Uncertainty: Deep Learning Uncertainty Quantification Adrien Lafage, Olivier Laurent, Firas Gabetni, Gianni Franchi

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

ICLR 2024 A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors Olivier Laurent, Emanuel Aldea, Gianni Franchi

WACV 2024 Learning to Generate Training Datasets for Robust Semantic Segmentation Marwane Hariat, Olivier Laurent, Rémi Kazmierczak, Shihao Zhang, Andrei Bursuc, Angela Yao, Gianni Franchi

CVPR 2024 Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-Trained Models Gianni Franchi, Olivier Laurent, Maxence Leguery, Andrei Bursuc, Andrea Pilzer, Angela Yao

ICLR 2023 Packed Ensembles for Efficient Uncertainty Estimation Olivier Laurent, Adrien Lafage, Enzo Tartaglione, Geoffrey Daniel, Jean-marc Martinez, Andrei Bursuc, Gianni Franchi