most citedFundamental limits of overparametrized shallow neural networks for supervised learning

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math.ST2025

Information-theoretic reduction of deep neural networks to linear models in the overparametrized proportional regime

Francesco Camilli, Daria Tieplova, Eleonora Bergamin +1

We rigorously analyse fully-trained neural networks of arbitrary depth in the Bayesian optimal setting in the so-called proportional scaling regime where the number of training sam…