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Geometric Alignment: gσ(η) = δσλσaσ, tσ(η) = δσλσβσ

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cs.LG 1

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2026 1

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Most ReLU Networks Admit Identifiable Parameters

cs.LG · 2026-05-05 · unverdicted · novelty 8.0

For ReLU networks with width at least two in input and hidden layers, an open set of parameters is identifiable, implying functional dimension equals parameter count minus hidden neurons.

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  • Most ReLU Networks Admit Identifiable Parameters cs.LG · 2026-05-05 · unverdicted · none · ref 17

    For ReLU networks with width at least two in input and hidden layers, an open set of parameters is identifiable, implying functional dimension equals parameter count minus hidden neurons.