Cosme Louart

Large Dimensional Asymptotics of Multi-Task Learning

Romain Couillet, Malik Tiomoko, Cosme Louart, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A Random Matrix Approach to Neural Networks pdf

Zhenyu Liao, Romain Couillet, Cosme Louart, 2017, ArXiv.

A Concentration of Measure Perspective to Robust Statistics

Romain Couillet, Cosme Louart, 2019, 2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Harnessing neural networks: A random matrix approach

Romain Couillet, Cosme Louart, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures

Romain Couillet, Cosme Louart, Mohamed Tamaazousti, 2020, ICML.

A Random Matrix and Concentration Inequalities Framework for Neural Networks Analysis

Romain Couillet, Cosme Louart, R. Couillet, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Concentration of measure and generalized product of random vectors with an application to Hanson-Wright-like inequalities

Romain Couillet, Cosme Louart, 2021 .

The Unexpected Deterministic and Universal Behavior of Large Softmax Classifiers

Romain Couillet, Cosme Louart, Mohamed Tamaazousti, 2021, AISTATS.

Sharp Bounds for the Concentration of the Resolvent in Convex Concentration Settings

Cosme Louart, 2022 .

Spectral properties of sample covariance matrices arising from random matrices with independent non identically distributed columns

Romain Couillet, Cosme Louart, 2021 .

Large Sample Covariance Matrices of Concentrated Vectors

Romain Couillet, Cosme Louart, 2018 .

Concentration of Measure and Large Random Matrices with an application to Sample Covariance Matrices

Romain Couillet, Cosme Louart, R. Couillet, 2018, 1805.08295.