Olivier Laurent

11 papers A* 4A 1Journal 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Torch-Uncertainty: A Deep Learning Framework for Uncertainty Quantification.
CoRR
Adrien Lafage, Olivier Laurent, Firas Gabetni, Gianni Franchi
2025 A* conf
Towards Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It.
ICLR
Guoxuan Xia, Olivier Laurent, Gianni Franchi, Christos-Savvas Bouganis
2024 A* conf
A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors.
ICLR
Olivier Laurent, Emanuel Aldea, Gianni Franchi
2024 A conf
Learning to generate training datasets for robust semantic segmentation.
WACV
Marwane Hariat, Olivier Laurent, Rémi Kazmierczak, Shihao Zhang, Andrei Bursuc, Angela Yao, Gianni Franchi
2024 A* conf
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models.
CVPR
Gianni Franchi, Olivier Laurent, Maxence Leguéry, Andrei Bursuc, Andrea Pilzer, Angela Yao
2024 J jnl
Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It.
CoRR
Guoxuan Xia, Olivier Laurent, Gianni Franchi, Christos-Savvas Bouganis
2023 J jnl
A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors.
CoRR
Olivier Laurent, Emanuel Aldea, Gianni Franchi
2023 J jnl
Learning to Generate Training Datasets for Robust Semantic Segmentation.
CoRR
Marwane Hariat, Olivier Laurent, Rémi Kazmierczak, Shihao Zhang, Andrei Bursuc, Angela Yao, Gianni Franchi
2023 J jnl
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models.
CoRR
Gianni Franchi, Olivier Laurent, Maxence Leguéry, Andrei Bursuc, Andrea Pilzer, Angela Yao
2023 A* conf
Packed Ensembles for efficient uncertainty estimation.
ICLR
Olivier Laurent, Adrien Lafage, Enzo Tartaglione, Geoffrey Daniel, Jean-Marc Martinez, Andrei Bursuc, Gianni Franchi
2022 J jnl
Packed-Ensembles for Efficient Uncertainty Estimation.
CoRR
Olivier Laurent, Adrien Lafage, Enzo Tartaglione, Geoffrey Daniel, Jean-Marc Martinez, Andrei Bursuc, Gianni Franchi