Finite Probes Suffice: Identifiability and Universality for Weight-Space Learning.

arXiv:2609.33901v2 Announce Type: replace-cross Abstract: Learning properties of neural networks has recently attracted growing interest, with existing approaches operating either directly on network parameters or through probe-based representations of network