A model of reward-modulated motor learning with parallelcortical and basal ganglia pathways. - Ryan Pyle; Robert Rosenbaum (CoRR, 2018)

A Reservoir Computing Model of Reward-Modulated Motor Learning and Automaticity. - Ryan Pyle; Robert Rosenbaum (Neural Comput., 2019)

Using Learning Dynamics to Explore the Role of Implicit Regularization in Adversarial Examples. - Josue Ortega Caro; Yilong Ju; Ryan Pyle; Ankit B. Patel (CoRR, 2020)

Shallow Univariate ReLu Networks as Splines: Initialization, Loss Surface, Hessian, & Gradient Flow Dynamics. - Justin Sahs; Ryan Pyle; Aneel Damaraju; Josue Ortega Caro; Onur Tavaslioglu; Andy Lu; Ankit B. Patel (CoRR, 2020)

Shallow Univariate ReLU Networks as Splines: Initialization, Loss Surface, Hessian, and Gradient Flow Dynamics. - Justin Sahs; Ryan Pyle; Aneel Damaraju; Josue Ortega Caro; Onur Tavaslioglu; Andy Lu; Fabio Anselmi; Ankit B. Patel (Frontiers Artif. Intell., 2022)

A Quantitative Approach to Predicting Representational Learning and Performance in Neural Networks. - Ryan Pyle; Sebastian Musslick; Jonathan D. Cohen 003; Ankit B. Patel (CoRR, 2023)

Translational symmetry in convolutions with localized kernels causes an implicit bias toward high frequency adversarial examples. - Josue Ortega Caro; Yilong Ju; Ryan Pyle; Sourav Dey; Wieland Brendel; Fabio Anselmi; Ankit B. Patel (Frontiers Comput. Neurosci., 2024)

The Spectral Bias of Shallow Neural Network Learning is Shaped by the Choice of Non-linearity. - Justin Sahs; Ryan Pyle; Fabio Anselmi; Ankit B. Patel (CoRR, 2025)