HalfNet

HalfNet paper explores learned geometry in random neural network weights

Researchers have introduced HalfNet, a novel approach to neural networks that utilizes random weights drawn from a distribution with learned subspace geometry. This method, detailed in a recent arXiv paper, aims to matc…