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ORCIDAladin Virmaux
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2020 – today
- 2024
[c7]Romain Ilbert, Ambroise Odonnat, Vasilii Feofanov, Aladin Virmaux, Giuseppe Paolo, Themis Palpanas, Ievgen Redko:
SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention. ICML 2024- [i9]Romain Ilbert, Ambroise Odonnat, Vasilii Feofanov, Aladin Virmaux, Giuseppe Paolo, Themis Palpanas, Ievgen Redko:
Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention. CoRR abs/2402.10198 (2024) - 2023
- [c6]Vasilii Feofanov, Malik Tiomoko, Aladin Virmaux:
Random Matrix Analysis to Balance between Supervised and Unsupervised Learning under the Low Density Separation Assumption. ICML 2023: 10008-10033 - [i8]Vasilii Feofanov, Malik Tiomoko, Aladin Virmaux:
Random Matrix Analysis to Balance between Supervised and Unsupervised Learning under the Low Density Separation Assumption. CoRR abs/2310.13434 (2023) - 2022
- [c5]Malik Tiomoko, Ekkehard Schnoor, Mohamed El Amine Seddik, Igor Colin, Aladin Virmaux:
Deciphering Lasso-based Classification Through a Large Dimensional Analysis of the Iterative Soft-Thresholding Algorithm. ICML 2022: 21449-21477 - 2021
- [c4]George Dasoulas, Giannis Nikolentzos, Kevin Scaman, Aladin Virmaux, Michalis Vazirgiannis:
Ego-Based Entropy Measures for Structural Representations on Graphs. ICASSP 2021: 3210-3214 - [c3]George Dasoulas, Kevin Scaman, Aladin Virmaux:
Lipschitz normalization for self-attention layers with application to graph neural networks. ICML 2021: 2456-2466 - [i7]George Dasoulas, Giannis Nikolentzos, Kevin Scaman, Aladin Virmaux, Michalis Vazirgiannis:
Ego-based Entropy Measures for Structural Representations on Graphs. CoRR abs/2102.08735 (2021) - [i6]Avery Ma, Aladin Virmaux, Kevin Scaman, Juwei Lu:
Improving Hierarchical Adversarial Robustness of Deep Neural Networks. CoRR abs/2102.09012 (2021) - [i5]George Dasoulas
, Kevin Scaman, Aladin Virmaux:
Lipschitz Normalization for Self-Attention Layers with Application to Graph Neural Networks. CoRR abs/2103.04886 (2021) - [i4]Aladin Virmaux, Illyyne Saffar, Jianfeng Zhang, Balázs Kégl:
Knothe-Rosenblatt transport for Unsupervised Domain Adaptation. CoRR abs/2110.02716 (2021) - 2020
- [c2]George Dasoulas, Ludovic Dos Santos, Kevin Scaman, Aladin Virmaux:
Coloring Graph Neural Networks for Node Disambiguation. IJCAI 2020: 2126-2132 - [i3]George Dasoulas, Giannis Nikolentzos, Kevin Scaman, Aladin Virmaux, Michalis Vazirgiannis:
Ego-based Entropy Measures for Structural Representations. CoRR abs/2003.00553 (2020)
2010 – 2019
- 2019
- [i2]George Dasoulas, Ludovic Dos Santos, Kevin Scaman, Aladin Virmaux:
Coloring graph neural networks for node disambiguation. CoRR abs/1912.06058 (2019) - 2018
- [c1]Aladin Virmaux, Kevin Scaman:
Lipschitz regularity of deep neural networks: analysis and efficient estimation. NeurIPS 2018: 3839-3848 - [i1]Kevin Scaman, Aladin Virmaux:
Lipschitz regularity of deep neural networks: analysis and efficient estimation. CoRR abs/1805.10965 (2018) - 2016
- [b1]Aladin Virmaux:
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). University of Paris-Saclay, France, 2016
Coauthor Index
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