The Riemannian Geometry Associated to Gradient Flows of Linear Convolutional Networks
arXiv:2507.06367v2 Announce Type: replace
Abstract: We study geometric properties of the gradient flow for learning deep linear convolutional networks. For linear fully connected networks, it has been shown recently that the corresponding gradient flo…