Symplectic momentum neural networks – using discrete variational mechanics as a prior in deep learning – Institute For Systems and Robotics

Conference Papers

Symplectic momentum neural networks – using discrete variational mechanics as a prior in deep learning

Saul Santos | Monica Ekal | Rodrigo Ventura

URL:

https://proceedings.mlr.press/v168/

Intelligent Robots and Systems Group (IRSg)

Proc. of the 4th Annual Learning for Dynamics and Control Conference, Stanford, CA, USA. PMLR 168:584-595

June, 2022