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most citedArbitrary-Depth Universal Approximation Theorems for Operator Neural Networks

5 citations · 5 across the 3 of their papers we have counts for

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math.ST2025

Universality of High-Dimensional Logistic Regression and a Novel CGMT under Dependence with Applications to Data Augmentation

Matthew Esmaili Mallory, Kevin Han Huang, Morgane Austern

Over the last decade, a wave of research has characterized the exact asymptotic risk of many high-dimensional models in the proportional regime. Two foundational results have drive…