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Spectral Indistinguishability and Learning-Curve Identifiability in Quadratic Networks

arXiv:2610.20678v1 Announce Type: cross Abstract: We study what spectral summaries and scalar learning curves reveal about centered quadratic networks. We construct analytic positive input densities with exactly Gaussian one- and two-coordinate marginals. Their complete fourth-moment operators are…

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  1. 2026-10-16 04:00 · arXiv stat.ML
    Spectral Indistinguishability and Learning-Curve Identifiability in Quadratic Networks

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