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06/06/2023
Learning Dynamical Systems from Noisy Data with Inverse-Explicit Integrators
We introduce the mean inverse integrator (MII), a novel approach to incr...
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05/09/2023
Pseudo-Hamiltonian system identification
Identifying the underlying dynamics of physical systems can be challengi...
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04/27/2023
Pseudo-Hamiltonian neural networks for learning partial differential equations
Pseudo-Hamiltonian neural networks (PHNN) were recently introduced for l...
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06/06/2022
Port-Hamiltonian Neural Networks with State Dependent Ports
Hybrid machine learning based on Hamiltonian formulations has recently b...
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03/18/2020
Order theory for discrete gradient methods
We present a subclass of the discrete gradient methods, which are integr...
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07/03/2019
