Cédric Gerbelot - Concepedia

Author

Cédric Gerbelot

Centre National de la Recherche Scientifique

Also Known As

Cedric Gerbelot, Cédric Gerbelot, Gerbelot, Cedric, Gerbelot, Cédric, Rossignol, Matéo Pirio

Publications

221

Citations

H-Index

Concepts

All Affiliations

Centre National de la Recherche Scientifique École Polytechnique Fédérale de Lausanne Courant Institute of Mathematical Sciences École Normale Supérieure - PSL New York University

About

Cédric Gerbelot is an author at Centre National de la Recherche Scientifique specializing in engineering, statistical inference, and statistics.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	4	4	80
2	Convex Optimization	3	3	60
3	Data Science	2	2	38
4	Computer Science	1	1	20
5	Data Mining	1	1	20

Cédric Gerbelot

Publications

205

Citations

H-Index

Page 1

	Year	Citations
Learning curves of generic features maps for realistic datasets with a teacher-student model* Bruno Loureiro, Cédric Gerbelot, Hugo Cui, Journal of Statistical Mechanics Theory and Experiment	2022	57
Asymptotic Errors for Teacher-Student Convex Generalized Linear Models (Or: How to Prove Kabashima’s Replica Formula) Cédric Gerbelot, Alia Abbara, Florent Krząkała IEEE Transactions on Information Theory Spectral TheoryMathematical ProgrammingReconstruction PerformanceEngineeringHigh-dimensional Method	2022	28
Graph-based approximate message passing iterations Cédric Gerbelot, Raphaël Berthier Information and Inference A Journal of the IMA	2023	21
Capturing the learning curves of generic features maps for realistic data sets with a teacher-student model. Bruno Loureiro, Cédric Gerbelot, Hugo Cui, arXiv (Cornell University) EngineeringMachine LearningRealistic Data SetsGaussian Teacher-student FrameworkTeacher-student Models	2021	20
Asymptotic errors for convex penalized linear regression beyond Gaussian matrices Cédric Gerbelot, Alia Abbara, Florent Krząkała arXiv (Cornell University) Spectral TheoryGaussian MatricesEngineeringMachine LearningData Science	2020	18
Learning curves for the multi-class teacher–student perceptron Elisabetta Cornacchia, Francesca Mignacco, Rodrigo Veiga, Machine Learning Science and Technology	2023	16
Asymptotic Errors for High-Dimensional Convex Penalized Linear Regression beyond Gaussian Matrices. Cédric Gerbelot, Alia Abbara, Florent Krząkała Conference on Learning Theory EngineeringHigh-dimensional MethodConvex OptimizationStatistical InferenceGaussian Matrices	2020	14
Rigorous Dynamical Mean-Field Theory for Stochastic Gradient Descent Methods Cédric Gerbelot, Emanuele Troiani, Francesca Mignacco, SIAM Journal on Mathematics of Data Science	2024	11
Learning Gaussian Mixtures with Generalised Linear Models: Precise\n Asymptotics in High-dimensions Bruno Loureiro, Gabriele Sicuro, Cédric Gerbelot, arXiv (Cornell University)	2021	10
Ballistic Brownian Motion of Nanoconfined DNA Ignacio Madrid, Zhiyong Zheng, Cédric Gerbelot, ACS Nano	2023	10

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