Operator Learning Meets Numerical Analysis: Improving Neural Networks through Iterative Methods

Emanuele Zappala, Daniel Levine, Sizhuang He +3

Deep neural networks, despite their success in numerous applications, often function without established theoretical foundations. In this paper, we bridge this gap by drawing paral…