Measuring how much of the INR weight-space perception gap is parameter symmetry. Exact D∞≀Sₙ characterization for sine networks, an orbit-only intervention that isolates what the group alone costs, and a phasor-graded reader placing 3rd/3rd/2nd on the standard INR benchmarks. Pre-registered; every prediction scored.
machine-learning pytorch siren symmetry group-theory preregistration inr equivariance metanetworks reporoducible-research implicit-neural-representation weight-space-learning neural-functionals
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Updated
Aug 15, 2026 - Python