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Lucas Clarté
Lucas Clarté
PhD student, EPFL
Verified email at epfl.ch
Title
Cited by
Cited by
Year
On double-descent in uncertainty quantification in overparametrized models
L Clarte, B Loureiro, F Krzakala, L Zdeborova
International Conference on Artificial Intelligence and Statistics, 7089-7125, 2023
21*2023
Theoretical characterization of uncertainty in high-dimensional linear classification
L Clarté, B Loureiro, F Krzakala, L Zdeborová
Machine Learning: Science and Technology 4 (2), 2023
182023
Analysis of Bootstrap and Subsampling in High-dimensional Regularized Regression
L Clarté, A Vandenbroucque, G Dalle, B Loureiro, F Krzakala, ...
Proceedings of the Fortieth Conference on Uncertainty in Artificial …, 2024
52024
Expectation consistency for calibration of neural networks
L Clarté, B Loureiro, F Krzakala, L Zdeborová
Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial …, 2023
42023
Building Conformal Prediction Intervals with Approximate Message Passing
L Clarté, L Zdeborová
arXiv preprint arXiv:2410.16493, 2024
2024
Expectation consistency for calibration of neural networks (Supplementary Material)
L Clarté, B Loureiro, F Krzakala, L Zdeborová
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Articles 1–6