arXiv cs.LG
· Papers
Towards Understanding Gradient Flow Dynamics of Homogeneous Neural Networks Beyond the Origin
arXiv:2502.15952v3 Announce Type: replace Abstract: Recent works exploring the training dynamics of homogeneous neural network weights under gradient flow with small initialization have established that in the early stages of training, the weights remain small and near the origin, but converge in direction. Building on