Arbitrary-Depth Universal Approximation Theorems for Operator Neural Networks

Annan Yu, Chloé Becquey, Diana Halikias +2

The standard Universal Approximation Theorem for operator neural networks (NNs) holds for arbitrary width and bounded depth. Here, we prove that operator NNs of bounded width and a…