Neural Canonical Transformation with Symplectic Flows

30 Sep 2019Shuo-Hui LiChen-Xiao DongLinfeng ZhangLei Wang

Canonical transformation plays a fundamental role in simplifying and solving classical Hamiltonian systems. We construct flexible and powerful canonical transformations as generative models using symplectic neural networks... (read more)

PDF Abstract

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.