Louart, Cosme

4 publications

NeurIPS 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

NeurIPSW 2024 Enhancing Multivariate Time Series Forecasting via Multi-Task Learning and Random Matrix Theory Romain Ilbert, Malik Tiomoko, Cosme Louart, Vasilii Feofanov, Themis Palpanas, Ievgen Redko

AISTATS 2021 The Unexpected Deterministic and Universal Behavior of Large SoftMax Classifiers Mohamed El Amine Seddik, Cosme Louart, Romain Couillet, Mohamed Tamaazousti

ICML 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