Nov 23, 2021 · We propose a systematic method for learning stable and physically interpretable dynamical models using sampled trajectory data from physical ...

Sep 6, 2020 · We propose a systematic method for learning stable and physically interpretable dynamical models using sampled trajectory data from physical ...

This work proposes a systematic method for learning stable and physically interpretable dynamical models using sampled trajectory data from physical ...

We propose a systematic method for learning stable and physically interpretable dynamical models using sampled trajectory data from physical processes based ...

Duration: 43:14
Posted: Sep 29, 2020

Learning hidden low dimensional dyanmics using a Generalized Onsager Principle and neural networks. This is the original pyTorch implemenation of OnsagerNet ...

Sep 6, 2020 · We propose a systematic method for learning stable and interpretable dynamical models using sampled trajectory data from physical processes ...

Oct 28, 2020 · We propose a systematic method for learning stable and interpretable dynamical models using sampled trajectory data from physical processes ...

Nov 23, 2021 · We propose a systematic method for learning stable and physically interpretable dynamical models using sampled trajectory data from physical ...