Search Results for author: Andreas Stein

Found 1 papers, 0 papers with code

Deep Operator Network Approximation Rates for Lipschitz Operators

no code implementations19 Jul 2023 Christoph Schwab, Andreas Stein, Jakob Zech

We establish universality and expression rate bounds for a class of neural Deep Operator Networks (DON) emulating Lipschitz (or H\"older) continuous maps $\mathcal G:\mathcal X\to\mathcal Y$ between (subsets of) separable Hilbert spaces $\mathcal X$, $\mathcal Y$.

Cannot find the paper you are looking for? You can Submit a new open access paper.