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cs.LG2026
Finite Probes Suffice: Identifiability and Universality for Weight-Space Learning
Soutrik Sarangi, Yonatan Sverdlov, Adir Dayan +2
Learning properties of neural networks has recently attracted growing interest, with existing approaches operating either directly on network parameters or through probe-based repr…
cs.LG2026
When and How to Canonize: A Generalization Perspective
Yonatan Sverdlov, Benjamin Friedman, Snir Hordan +1
While invariant architectures are standard for processing symmetric data, there is growing interest in achieving invariance by applying group averaging or canonization to non-invar…