26 citations · 137 across the 41 of their papers we have counts for
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stat.ML2023
How Spurious Features Are Memorized: Precise Analysis for Random and NTK Features
Simone Bombari, Marco Mondelli
Deep learning models are known to overfit and memorize spurious features in the training dataset. While numerous empirical studies have aimed at understanding this phenomenon, a ri…
stat.ML2023★ 2 cited
Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels
Simone Bombari, Shayan Kiyani, Marco Mondelli
Machine learning models are vulnerable to adversarial perturbations, and a thought-provoking paper by Bubeck and Sellke has analyzed this phenomenon through the lens of over-parame…