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How much of the weight-space perception gap is actually symmetry? Evidence from ~1.8M fitted SIRENs [R]

This story is from 2026-08-19. It is preserved in the archive; the latest stories are on the live feed.

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 share an initialization, but collapse when the networks are fitted independently…

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Timeline · 2 reports

  1. 2026-08-19 19:38 · r/deeplearning
    How much of the weight-space perception gap is actually symmetry? Evidence from ~1.8M fitted SIRENs [R]
  2. 2026-08-19 19:24 · r/MachineLearning
    How much of the weight-space perception gap is actually symmetry? Evidence from ~1.8M fitted SIRENs [R]

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