6 citations · 6 across the 1 of their papers we have counts for
2 papers
cs.LG2020★ 6 cited
Shallow Univariate ReLu Networks as Splines: Initialization, Loss Surface, Hessian, & Gradient Flow Dynamics
Justin Sahs, Ryan Pyle, Aneel Damaraju +4
Understanding the learning dynamics and inductive bias of neural networks (NNs) is hindered by the opacity of the relationship between NN parameters and the function represented. W…
q-bio.NC2018
A model of reward-modulated motor learning with parallelcortical and basal ganglia pathways
Ryan Pyle, Robert Rosenbaum
Many recent studies of the motor system are divided into two distinct approaches: Those that investigate how motor responses are encoded in cortical neurons' firing rate dynamics a…