Invertible Koopman neural operator for data-driven modeling of partial differential equations

Yuhong Jin, Andong Cong, Lei Hou +5

Koopman operator theory is a popular candidate for data-driven modeling because it provides a global linearization representation for nonlinear dynamical systems. However, existing…