Unlike traditional machine learning methods that work with finite-dimensional data, operator learning addresses transformations in infinite-dimensional spaces, making it essential for solving PDEs and other function-based tasks. ...
Autor: Tommy Chu; Vedoucí práce: Kovalenko Alexander; Oponent práce: Pihrt Jiří ( České vysoké učení technické v Praze. Vypočetní a informační centrum.Czech Technical University in Prague.