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News/Sharp Approximation Rates for Neural Networks with Affine Latent Parameterizations
arxiv
PublishedSeptember 1, 2026 at 4:00 AM

Sharp Approximation Rates for Neural Networks with Affine Latent Parameterizations

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arXiv:2608.31157v1 Announce Type: new Abstract: Many parameter-efficient methods generate the parameters of a large neural network from a low-dimensional latent representation. Given an architecture $\Phi$ with $P_\Phi$ parameter slots, we write $\boldsymbol{\theta}_f=\mathcal{G}(\boldsymbol{\xi}_f)

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