Aladin Virmaux
6 papers · 2018–2024 · 3 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (15) π£ Hot Topic Early Bird
π₯
Unstoppable Β· Bronze
Venues
Top co-authors
Research topics
Keywords
graph neural network
(2)
adversarial robustness
(1)
self-attention mechanism
(1)
spectral clustering
(1)
graph classification
(1)
hyperparameter optimization
(1)
transformer
(1)
sharpness-aware minimization
(1)
neural network optimization
(1)
automatic differentiation
(1)
low density separation
(1)
gradient descent
(1)
high-dimensional analysis
(1)
lipschitz continuity
(1)
multivariate time series
(1)
random matrix theory
(1)
support vector machine
(1)
graph transformer
(1)
node classification
(1)
lipschitz constant
(1)
Papers
SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention
ICML 2024
Random Matrix Analysis to Balance between Supervised and Unsupervised Learning under the Low Density Separation Assumption
ICML 2023
Deciphering Lasso-based Classification Through a Large Dimensional Analysis of the Iterative Soft-Thresholding Algorithm
ICML 2022
Lipschitz normalization for self-attention layers with application to graph neural networks
ICML 2021
Coloring Graph Neural Networks for Node Disambiguation
IJCAI 2020
Lipschitz regularity of deep neural networks: analysis and efficient estimation
NeurIPS 2018