Ryan Pyle
According to our database1,
Ryan Pyle
authored at least 6 papers
between 2018 and 2023.
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Bibliography
2023
A Quantitative Approach to Predicting Representational Learning and Performance in Neural Networks.
CoRR, 2023
2022
Shallow Univariate ReLU Networks as Splines: Initialization, Loss Surface, Hessian, and Gradient Flow Dynamics.
Frontiers Artif. Intell., 2022
2020
Shallow Univariate ReLu Networks as Splines: Initialization, Loss Surface, Hessian, & Gradient Flow Dynamics.
CoRR, 2020
Using Learning Dynamics to Explore the Role of Implicit Regularization in Adversarial Examples.
CoRR, 2020
2019
Neural Comput., 2019
2018
A model of reward-modulated motor learning with parallelcortical and basal ganglia pathways.
CoRR, 2018