10 citations · 26 across the 5 of their papers we have counts for
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cs.NE2019
Tustin neural networks: a class of recurrent nets for adaptive MPC of mechanical systems
Simone Pozzoli, Marco Gallieri, Riccardo Scattolini
The use of recurrent neural networks to represent the dynamics of unstable systems is difficult due to the need to properly initialize their internal states, which in most of the c…
cs.NE2019
SNODE: Spectral Discretization of Neural ODEs for System Identification
Alessio Quaglino, Marco Gallieri, Jonathan Masci +1
This paper proposes the use of spectral element methods \citep{canuto_spectral_1988} for fast and accurate training of Neural Ordinary Differential Equations (ODE-Nets; \citealp{Ch…