Cosme Louart

According to our database, Cosme Louart authored at least 8 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting.

Romain Ilbert, Malik Tiomoko, Cosme Louart, Ambroise Odonnat, Vasilii Feofanov, Themis Palpanas, Ievgen Redko

CoRR, 2024

2021

The Unexpected Deterministic and Universal Behavior of Large Softmax Classifiers.

Mohamed El Amine Seddik, Cosme Louart, Romain Couillet, Mohamed Tamaazousti

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

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

Mohamed El Amine Seddik, Cosme Louart, Mohamed Tamaazousti, Romain Couillet

Proceedings of the 37th International Conference on Machine Learning, 2020

Large Dimensional Asymptotics of Multi-Task Learning.

Malik Tiomoko, Cosme Louart, Romain Couillet

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

A Concentration of Measure Perspective to Robust Statistics.

Cosme Louart, Romain Couillet

Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

2018

A Random Matrix and Concentration Inequalities Framework for Neural Networks Analysis.

Cosme Louart, Romain Couillet

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

A Random Matrix Approach to Neural Networks.

Cosme Louart, Zhenyu Liao, Romain Couillet

CoRR, 2017

Harnessing neural networks: A random matrix approach.

Cosme Louart, Romain Couillet

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017