Arbitrary-Depth Universal Approximation Theorems for Operator Neural Networks. - Annan Yu; Chloé Becquey; Diana Halikias; Matthew Esmaili Mallory; Alex Townsend (CoRR, 2021)

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 (COLT, 2025)