Symplectic momentum neural networks – using discrete variational mechanics as a prior in deep learning
Title: | Symplectic momentum neural networks – using discrete variational mechanics as a prior in deep learning |
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Kind : | Conference Papers |
Published In: | Proc. of the 4th Annual Learning for Dynamics and Control Conference, Stanford, CA, USA. PMLR 168:584-595 |
URL : | https://proceedings.mlr.press/v168/ |
Year : | 2022 |
Authors : |
Saul Santos Monica Ekal Rodrigo Martins de Matos Ventura |
Lab : | Intelligent Robots and Systems Group (IRSg) |