Canonical Regularisation of Wide Feature-Learning Neural Networks

ArXi:2605.18180v1 Announce Type: cross Wide neural networks in the feature-learning regime drive modern deep learning, and yet they remain far less studied than their kernel-regime counterparts. We consider a critical yet under-explored difference between these two regimes: the regulariser and prior implied by gradient flow