Aladin Virmaux

17 papers A* 6Misc 1Journal 9
YearRankTypeTitle / Venue / Authors
2024 A* conf
SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention.
ICML
Romain Ilbert, Ambroise Odonnat, Vasilii Feofanov, Aladin Virmaux, Giuseppe Paolo, Themis Palpanas, Ievgen Redko
2024 J jnl
Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention.
CoRR
Romain Ilbert, Ambroise Odonnat, Vasilii Feofanov, Aladin Virmaux, Giuseppe Paolo, Themis Palpanas, Ievgen Redko
2023 A* conf
Random Matrix Analysis to Balance between Supervised and Unsupervised Learning under the Low Density Separation Assumption.
ICML
Vasilii Feofanov, Malik Tiomoko, Aladin Virmaux
2023 J jnl
Random Matrix Analysis to Balance between Supervised and Unsupervised Learning under the Low Density Separation Assumption.
CoRR
Vasilii Feofanov, Malik Tiomoko, Aladin Virmaux
2022 A* conf
Deciphering Lasso-based Classification Through a Large Dimensional Analysis of the Iterative Soft-Thresholding Algorithm.
ICML
Malik Tiomoko, Ekkehard Schnoor, Mohamed El Amine Seddik, Igor Colin, Aladin Virmaux
2021 Misc conf
Ego-Based Entropy Measures for Structural Representations on Graphs.
ICASSP
George Dasoulas, Giannis Nikolentzos, Kevin Scaman, Aladin Virmaux, Michalis Vazirgiannis
2021 J jnl
Ego-based Entropy Measures for Structural Representations on Graphs.
CoRR
George Dasoulas, Giannis Nikolentzos, Kevin Scaman, Aladin Virmaux, Michalis Vazirgiannis
2021 J jnl
Improving Hierarchical Adversarial Robustness of Deep Neural Networks.
CoRR
Avery Ma, Aladin Virmaux, Kevin Scaman, Juwei Lu
2021 J jnl
Knothe-Rosenblatt transport for Unsupervised Domain Adaptation.
CoRR
Aladin Virmaux, Illyyne Saffar, Jianfeng Zhang, Balázs Kégl
2021 J jnl
Lipschitz Normalization for Self-Attention Layers with Application to Graph Neural Networks.
CoRR
George Dasoulas, Kevin Scaman, Aladin Virmaux
2021 A* conf
Lipschitz normalization for self-attention layers with application to graph neural networks.
ICML
George Dasoulas, Kevin Scaman, Aladin Virmaux
2020 A* conf
Coloring Graph Neural Networks for Node Disambiguation.
IJCAI
George Dasoulas, Ludovic Dos Santos, Kevin Scaman, Aladin Virmaux
2020 J jnl
Ego-based Entropy Measures for Structural Representations.
CoRR
George Dasoulas, Giannis Nikolentzos, Kevin Scaman, Aladin Virmaux, Michalis Vazirgiannis
2019 J jnl
Coloring graph neural networks for node disambiguation.
CoRR
George Dasoulas, Ludovic Dos Santos, Kevin Scaman, Aladin Virmaux
2018 A* conf
Lipschitz regularity of deep neural networks: analysis and efficient estimation.
NeurIPS
Aladin Virmaux, Kevin Scaman
2018 J jnl
Lipschitz regularity of deep neural networks: analysis and efficient estimation.
CoRR
Kevin Scaman, Aladin Virmaux
2016 — —
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