arXiv cs.AI
· Papers
Scaling Laws and Spectra of Shallow Neural Networks in the Feature Learning Regime
arXiv:2509.24882v3 Announce Type: replace-cross Abstract: Neural scaling laws underlie many of the recent advances in deep learning, yet their theoretical understanding remains largely confined to linear models. In this work, we present a systematic analysis of scaling laws for quadratic and diagonal neural networks in