Seuraa
Cosme Louart
Cosme Louart
Assistant Professor, Chinese University of Hong Kong, Shenzhen
Vahvistettu sähköpostiosoite verkkotunnuksessa cuhk.edu.cn - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
A random matrix approach to neural networks
C Louart, Z Liao, R Couillet
The Annals of Applied Probability 28 (2), 1190-1248, 2018
1722018
Random matrix theory proves that deep learning representations of gan-data behave as gaussian mixtures
MEA Seddik, C Louart, M Tamaazousti, R Couillet
International Conference on Machine Learning, 8573-8582, 2020
622020
Concentration of measure and large random matrices with an application to sample covariance matrices
C Louart, R Couillet
arXiv preprint arXiv:1805.08295, 2018
462018
A concentration of measure and random matrix approach to large-dimensional robust statistics
C Louart, R Couillet
The Annals of Applied Probability 32 (6), 4737-4762, 2022
72022
The unexpected deterministic and universal behavior of large softmax classifiers
MEA Seddik, C Louart, R Couillet, M Tamaazousti
International Conference on Artificial Intelligence and Statistics, 1045-1053, 2021
72021
A random matrix and concentration inequalities framework for neural networks analysis
C Louart, R Couillet
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
72018
Harnessing neural networks: A random matrix approach
C Louart, R Couillet
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
72017
Spectral properties of sample covariance matrices arising from random matrices with independent non identically distributed columns
C Louart, R Couillet
arXiv preprint arXiv:2109.02644, 2021
62021
Concentration of measure and generalized product of random vectors with an application to hanson-wright-like inequalities
C Louart, R Couillet
arXiv preprint arXiv:2102.08020, 2021
42021
Sharp bounds for the concentration of the resolvent in convex concentration settings
C Louart
arXiv preprint arXiv:2201.00284, 2022
32022
Concentration of solutions to random equations with concentration of measure hypotheses
C Louart, R Couillet
arXiv preprint arXiv:2010.09877, 2020
32020
Large dimensional asymptotics of multi-task learning
M Tiomoko, C Louart, R Couillet
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
22020
Random matrix theory proves that deep learning representations of gan-data behave as gaussian mixtures
M El Amine Seddik, C Louart, M Tamaazousti, R Couillet
arXiv e-prints, arXiv: 2001.08370, 2020
22020
Operation with concentration inequalities and Conjugate of parallel sum
C Louart
arXiv preprint arXiv:2402.08206, 2024
2024
Random matrix theory and concentration of the measure theory for the study of high dimension data processing.
C Louart
Université Grenoble Alpes [2020-....], 2023
2023
Théorie des matrices aléatoires et concentration de la mesure pour l'analyse d’algorithmes de traitement de données en grande dimension.
C Louart
Université Grenoble Alpes, 2023
2023
Concentration of solutions to random equations with concentration of measure hypotheses
R Couillet, C Louart
2020
A Concentration of Measure Framework to study convex problems and other implicit formulation problems in machine learning
C Louart
arXiv preprint arXiv:2010.09877, 2020
2020
A Concentration of Measure Perspective to Robust Statistics
C Louart, R Couillet
2019 IEEE 8th International Workshop on Computational Advances in Multi …, 2019
2019
Concentration de la Mesure et Apprentissage pour le Traitement des Données de Grande Dimension
C LOUART, R COUILLET, M TAMAAZOUSTI
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Artikkelit 1–20