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math.PR2023
A Quantitative Functional Central Limit Theorem for Shallow Neural Networks
Valentina Cammarota, Domenico Marinucci, Michele Salvi +1
We prove a Quantitative Functional Central Limit Theorem for one-hidden-layer neural networks with generic activation function. The rates of convergence that we establish depend he…
math.PR2023
Branching process and homogeneization for epidemics on spatial random graphs
Vincent Bansaye, Michele Salvi
Consider a graph where the sites are distributed in space according to a Poisson point process on . We study a population evolving on this network, with individuals ju…