Virmaux, Aladin

8 publications

ICML 2024 SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention Romain Ilbert, Ambroise Odonnat, Vasilii Feofanov, Aladin Virmaux, Giuseppe Paolo, Themis Palpanas, Ievgen Redko

ICML 2023 Random Matrix Analysis to Balance Between Supervised and Unsupervised Learning Under the Low Density Separation Assumption Vasilii Feofanov, Malik Tiomoko, Aladin Virmaux

ICML 2022 Deciphering Lasso-Based Classification Through a Large Dimensional Analysis of the Iterative Soft-Thresholding Algorithm Malik Tiomoko, Ekkehard Schnoor, Mohamed El Amine Seddik, Igor Colin, Aladin Virmaux

ICLRW 2022 Density Estimation for Conservative Q-Learning Paul Daoudi, Ludovic Dos Santos, Merwan Barlier, Aladin Virmaux

NeurIPSW 2022 Meta-Learning of Black-Box Solvers Using Deep Reinforcement Learning Sofian Chaybouti, Ludovic Dos Santos, Cedric Malherbe, Aladin Virmaux

ICML 2021 Lipschitz Normalization for Self-Attention Layers with Application to Graph Neural Networks George Dasoulas, Kevin Scaman, Aladin Virmaux

IJCAI 2020 Coloring Graph Neural Networks for Node Disambiguation George Dasoulas, Ludovic Dos Santos, Kevin Scaman, Aladin Virmaux

NeurIPS 2018 Lipschitz Regularity of Deep Neural Networks: Analysis and Efficient Estimation Aladin Virmaux, Kevin Scaman