Output-output correlations in finite Bayesian one-hidden-layer networks follow the kernel shape renormalization order parameter, with readout weight overlap equal to Q*_ab/λ1.
Gaussian process behaviour in wide deep neural networks,
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Kernel shape renormalization explains output-output correlations in finite Bayesian one-hidden-layer networks
Output-output correlations in finite Bayesian one-hidden-layer networks follow the kernel shape renormalization order parameter, with readout weight overlap equal to Q*_ab/λ1.