Aladin Virmaux

Deciphering Lasso-based Classification Through a Large Dimensional Analysis of the Iterative Soft-Thresholding Algorithm

M. Seddik, Malik Tiomoko, Ekkehard Schnoor, 2022, ICML.

Non-commutative Frobenius characteristic of generalized parking functions -- Application to enumeration

J. Priez, Aladin Virmaux, 2014, 1411.4161.

Coloring graph neural networks for node disambiguation pdf

Ludovic Dos Santos, George Dasoulas, Kevin Scaman, 2019, IJCAI.

Lipschitz regularity of deep neural networks: analysis and efficient estimation

Kevin Scaman, Aladin Virmaux, Kevin Scaman, 2018, NeurIPS.

Lipschitz Normalization for Self-Attention Layers with Application to Graph Neural Networks

Kevin Scaman, George Dasoulas, Aladin Virmaux, 2021, ICML.

Improving Hierarchical Adversarial Robustness of Deep Neural Networks pdf

Avery Ma, Juwei Lu, Kevin Scaman, 2021, ArXiv.

Ego-Based Entropy Measures for Structural Representations on Graphs

Michalis Vazirgiannis, Giannis Nikolentzos, George Dasoulas, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Ego-based Entropy Measures for Structural Representations pdf

Michalis Vazirgiannis, Giannis Nikolentzos, George Dasoulas, 2020, ArXiv.

Random Matrix Analysis to Balance between Supervised and Unsupervised Learning under the Low Density Separation Assumption

Malik Tiomoko, Aladin Virmaux, Vasilii Feofanov, 2023, ICML.

SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention

I. Redko, Themis Palpanas, Aladin Virmaux, 2024, 2402.10198.

Knothe-Rosenblatt transport for Unsupervised Domain Adaptation pdf

Illyyne Saffar, Aladin Virmaux, Jianfeng Zhang, 2021, ArXiv.