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Cedric Gerbelot
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Asymptotic errors for high-dimensional convex penalized linear regression beyond Gaussian matrices
C Gerbelot, A Abbara, F Krzakala
Conference on Learning Theory, 1682-1713, 2020
31*2020
Learning curves of generic features maps for realistic datasets with a teacher-student model
B Loureiro, C Gerbelot, H Cui, S Goldt, F Krzakala, M Mezard, ...
Advances in Neural Information Processing Systems 34, 2021
28*2021
Asymptotic Errors for Teacher-Student Convex Generalized Linear Models (or: How to Prove Kabashima's Replica Formula)
C Gerbelot, A Abbara, F Krzakala
arXiv preprint arXiv:2006.06581, 2020
232020
Capillary leveling of freestanding liquid nanofilms
M Ilton, MMP Couchman, C Gerbelot, M Benzaquen, PD Fowler, ...
Physical review letters 117 (16), 167801, 2016
162016
Learning Gaussian Mixtures with Generalised Linear Models: Precise Asymptotics in High-dimensions
B Loureiro, G Sicuro, C Gerbelot, A Pacco, F Krzakala, L Zdeborová
Advances in Neural Information Processing Systems 34, 2021
112021
Graph-based approximate message passing iterations
C Gerbelot, R Berthier
arXiv preprint arXiv:2109.11905, 2021
72021
Multi-layer State Evolution Under Random Convolutional Design
M Daniels, C Gerbelot, F Krzakala, L Zdeborová
arXiv preprint arXiv:2205.13503, 2022
2022
Learning curves for the multi-class teacher-student perceptron
E Cornacchia, F Mignacco, R Veiga, C Gerbelot, B Loureiro, L Zdeborová
arXiv preprint arXiv:2203.12094, 2022
2022
Fluctuations, Bias, Variance & Ensemble of Learners: Exact Asymptotics for Convex Losses in High-Dimension
B Loureiro, C Gerbelot, M Refinetti, G Sicuro, F Krzakala
arXiv preprint arXiv:2201.13383, 2022
2022
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