| 2024 | ICML | 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 |
| 2023 | ICML | Random Matrix Analysis to Balance between Supervised and Unsupervised Learning under the Low Density Separation Assumption. | Vasilii Feofanov, Malik Tiomoko, Aladin Virmaux |
| 2022 | ICML | 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 |
| 2021 | ICASSP | Ego-Based Entropy Measures for Structural Representations on Graphs. | George Dasoulas, Giannis Nikolentzos, Kevin Scaman, Aladin Virmaux, Michalis Vazirgiannis |
| 2021 | ICML | Lipschitz normalization for self-attention layers with application to graph neural networks. | George Dasoulas, Kevin Scaman, Aladin Virmaux |
| 2020 | IJCAI | Coloring Graph Neural Networks for Node Disambiguation. | George Dasoulas, Ludovic Dos Santos, Kevin Scaman, Aladin Virmaux |