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cs.LG2025
The Spectral Bias of Shallow Neural Network Learning is Shaped by the Choice of Non-linearity
Justin Sahs, Ryan Pyle, Fabio Anselmi +1
Despite classical statistical theory predicting severe overfitting, modern massively overparameterized neural networks still generalize well. This unexpected property is attributed…
cs.LG2023
A Quantitative Approach to Predicting Representational Learning and Performance in Neural Networks
Ryan Pyle, Sebastian Musslick, Jonathan D. Cohen +1
A key property of neural networks (both biological and artificial) is how they learn to represent and manipulate input information in order to solve a task. Different types of repr…