Olivier Laurent

Affiliations:

ENSTA Paris, France
Paris-Saclay University, France

According to our database¹, Olivier Laurent authored at least 8 papers between 2023 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Book In proceedings Article PhD thesis Dataset Other

Bibliography

2025

Torch-Uncertainty: A Deep Learning Framework for Uncertainty Quantification.

[BibT_eX]

[DOI]

CoRR, November, 2025

Torch-Uncertainty: Deep Learning Uncertainty Quantification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Towards Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It.

[BibT_eX]

[DOI]

Guoxuan Xia

Olivier Laurent

Gianni Franchi

Christos-Savvas Bouganis

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It.

[BibT_eX]

[DOI]

Guoxuan Xia

Olivier Laurent

Gianni Franchi

Christos-Savvas Bouganis

CoRR, 2024

Learning to generate training datasets for robust semantic segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors.

[BibT_eX]

[DOI]

Olivier Laurent

Emanuel Aldea

Gianni Franchi

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Packed Ensembles for efficient uncertainty estimation.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Olivier Laurent

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Bibliography

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