Deep Linear Probe Generators for Weight Space Learning

Jonathan Kahana, Eliahu Horwitz, Imri Shuval +1

Weight space learning aims to extract information about a neural network, such as its training dataset or generalization error. Recent approaches learn directly from model weights,…