Leveraging Neural Koopman Operators to Learn Continuous Representations of Dynamical Systems from Scarce Data

Anthony Frion, Lucas Drumetz, Mauro Dalla Mura +2

Over the last few years, several works have proposed deep learning architectures to learn dynamical systems from observation data with no or little knowledge of the underlying phys…