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Nikolaos Tsilivis

Flavors of Margin: Implicit Bias of Steepest Descent in Homogeneous Neural Networks

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Oct 29, 2024
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On the Geometry of Regularization in Adversarial Training: High-Dimensional Asymptotics and Generalization Bounds

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Oct 21, 2024
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The Price of Implicit Bias in Adversarially Robust Generalization

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Jun 07, 2024
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Attacking Bayes: On the Adversarial Robustness of Bayesian Neural Networks

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Apr 27, 2024
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The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains

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Feb 16, 2024
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On the Robustness of Neural Collapse and the Neural Collapse of Robustness

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Nov 13, 2023
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Kernels, Data & Physics

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Jul 05, 2023
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A Tale of Two Circuits: Grokking as Competition of Sparse and Dense Subnetworks

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Mar 21, 2023
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What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness?

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Oct 11, 2022
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Can we achieve robustness from data alone?

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Jul 24, 2022
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