Ryan Pyle

According to our database, Ryan Pyle authored at least 6 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

A Quantitative Approach to Predicting Representational Learning and Performance in Neural Networks.

Ryan Pyle, Sebastian Musslick, Jonathan D. Cohen, Ankit B. Patel

CoRR, 2023

2022

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

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

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

2019

A Reservoir Computing Model of Reward-Modulated Motor Learning and Automaticity.

Ryan Pyle, Robert Rosenbaum

Neural Comput., 2019

2018

A model of reward-modulated motor learning with parallelcortical and basal ganglia pathways.

Ryan Pyle, Robert Rosenbaum

CoRR, 2018