Théorie des représentations combinatoire de tours de monoïdes : Application à la catégorification et aux fonctions de parking. (Combinatorial representation theory of tower monoids : Application to categorification and to parking functions). - Aladin Virmaux (2016)

Lipschitz regularity of deep neural networks: analysis and efficient estimation. - Aladin Virmaux; Kevin Scaman (NeurIPS, 2018)

Coloring Graph Neural Networks for Node Disambiguation. - George Dasoulas; Ludovic Dos Santos; Kevin Scaman; Aladin Virmaux (IJCAI, 2020)

Ego-based Entropy Measures for Structural Representations. - George Dasoulas; Giannis Nikolentzos; Kevin Scaman; Aladin Virmaux; Michalis Vazirgiannis (CoRR, 2020)

Ego-Based Entropy Measures for Structural Representations on Graphs. - George Dasoulas; Giannis Nikolentzos; Kevin Scaman; Aladin Virmaux; Michalis Vazirgiannis (ICASSP, 2021)

Lipschitz normalization for self-attention layers with application to graph neural networks. - George Dasoulas; Kevin Scaman; Aladin Virmaux (ICML, 2021)

Improving Hierarchical Adversarial Robustness of Deep Neural Networks. - Avery Ma; Aladin Virmaux; Kevin Scaman; Juwei Lu (CoRR, 2021)

Knothe-Rosenblatt transport for Unsupervised Domain Adaptation. - Aladin Virmaux; Illyyne Saffar; Jianfeng Zhang; Balázs Kégl (CoRR, 2021)

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 (ICML, 2022)

Random Matrix Analysis to Balance between Supervised and Unsupervised Learning under the Low Density Separation Assumption. - Vasilii Feofanov; Malik Tiomoko; Aladin Virmaux (ICML, 2023)

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, 2024)

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 (CoRR, 2024)