Lifting Finite-Sample Gaussian Approximation of Wide Neural Networks to Functional Convergence.

arXiv:2610.18166v1 Announce Type: cross Abstract: Randomly initialised neural networks of width $m$ converge to Gaussian processes as $m \to \infty$, with two types of quantitative bounds characterising this convergence. Finite-sample bounds compare the networ