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Gerbelot, Cedric
31  results:
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1

Rigorous Dynamical Mean-Field Theory for Stochastic Gradien..:

Gerbelot, Cédric ; Troiani, Emanuele ; Mignacco, Francesca..
SIAM Journal on Mathematics of Data Science.  6 (2024)  2 - p. 400-427 , 2024
Link: https://doi.org/10.1137/..
 
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2

Fluctuations, bias, variance and ensemble of learners: exac..:

Loureiro, Bruno ; Gerbelot, Cédric ; Refinetti, Maria..
Journal of Statistical Mechanics: Theory and Experiment.  2023 (2023)  11 - p. 114001 , 2023
Link: https://doi.org/10.1088/..
 
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3

Graph-based approximate message passing iterations:

Gerbelot, Cédric ; Berthier, Raphaël
Information and Inference: A Journal of the IMA.  12 (2023)  4 - p. 2562-2628 , 2023
Link: https://doi.org/10.1093/..
 
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4

Asymptotic Errors for Teacher-Student Convex Generalized Li..:

Gerbelot, Cedric ; Abbara, Alia ; Krzakala, Florent
IEEE Transactions on Information Theory.  69 (2023)  3 - p. 1824-1852 , 2023
Link: https://doi.org/10.1109/..
 
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5

Multi-layer state evolution under random convolutional desi..:

Daniels, Max ; Gerbelot, Cédric ; Krzakala, Florent.
Journal of Statistical Mechanics: Theory and Experiment.  2023 (2023)  11 - p. 114002 , 2023
Link: https://doi.org/10.1088/..
 
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6

Ballistic Brownian Motion of Nanoconfined DNA:

Madrid, Ignacio ; Zheng, Zhiyong ; Gerbelot, Cedric...
ACS Nano.  , 2023
Link: https://doi.org/10.1021/..
 
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7

Learning curves for the multi-class teacher–student percept..:

Cornacchia, Elisabetta ; Mignacco, Francesca ; Veiga, Rodrigo...
Machine Learning: Science and Technology.  4 (2023)  1 - p. 015019 , 2023
Link: https://doi.org/10.1088/..
 
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8

Learning curves of generic features maps for realistic data..:

Loureiro, Bruno ; Gerbelot, Cédric ; Cui, Hugo...
Journal of Statistical Mechanics: Theory and Experiment.  2022 (2022)  11 - p. 114001 , 2022
Link: https://doi.org/10.1088/..
 
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9

Capillary Leveling of Freestanding Liquid Nanofilms:

Ilton, Mark ; Couchman, Miles M. P. ; Gerbelot, Cedric...
Physical Review Letters.  117 (2016)  16 - p. , 2016
Link: https://doi.org/10.1103/..
 
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10

Ballistic Brownian Motion of Nanoconfined DNA:

Madrid, Ignacio ; Zheng, Zhiyong ; Gerbelot, Cedric...
info:eu-repo/semantics/altIdentifier/doi/10.1021/acsnano.3c04349.  , 2023
Link: https://hal.science/hal-..
 
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11

Applying statistical learning theory to deep learning:

Gerbelot, Cédric ; Karagulyan, Avetik ; Karp, Stefani...
http://arxiv.org/abs/2311.15404.  , 2023
Link: http://arxiv.org/abs/231..
 
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12

Ballistic Brownian Motion of Nanoconfined DNA:

Madrid, Ignacio ; Zheng, Zhiyong ; Gerbelot, Cedric...
info:eu-repo/semantics/altIdentifier/doi/10.1021/acsnano.3c04349.  , 2023
Link: https://hal.science/hal-..
 
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13

Ballistic Brownian Motion of Nanoconfined DNA:

Madrid, Ignacio ; Zheng, Zhiyong ; Gerbelot, Cedric...
info:eu-repo/semantics/altIdentifier/doi/10.1021/acsnano.3c04349.  , 2023
Link: https://hal.science/hal-..
 
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14

Learning curves for the multi-class teacher-student percept..:

Cornacchia, Elisabetta ; Mignacco, Francesca ; Veiga, Rodrigo...
http://arxiv.org/abs/2203.12094.  , 2022
Link: http://arxiv.org/abs/220..
 
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15

Statistical learning in high dimensions : a rigorous statis..:

Gerbelot, Cédric
http://www.theses.fr/2022UPSLE006/document.  , 2022
Link: http://www.theses.fr/202..
 
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