How much of the weight-space perception gap is actually symmetry? Evidence from ~1.8M fitted SIRENs [R]
I’ve been looking at a fairly basic question in weight-space learning that I don’t think gets separated cleanly enough: Why does reading semantics directly from neural network weights work pretty well when the networks s
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