no code implementations • 18 Aug 2023 • Bangti Jin, Zehui Zhou, Jun Zou
Furthermore, we develop an approach for approximating bi-Lipschitz maps on infinite-dimensional spaces that simultaneously approximate the forward and inverse maps, by combining model reduction with principal component analysis and INNs for approximating the reduced map, and we analyze the overall approximation error of the approach.
