Neural Operators Meet Energy-based Theory: Operator Learning for Hamiltonian and Dissipative PDEs

Yusuke Tanaka, Takaharu Yaguchi, Tomoharu Iwata +1

The operator learning has received significant attention in recent years, with the aim of learning a mapping between function spaces. Prior works have proposed deep neural networks…