Nicholas Galioto

Orcid: 0000-0001-8213-2442

According to our database1, Nicholas Galioto authored at least 6 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Links

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Bibliography

2024
Bayesian identification of nonseparable Hamiltonians with multiplicative noise using deep learning and reduced-order modeling.
CoRR, 2024

2022
Robust identification of non-autonomous dynamical systems using stochastic dynamics models.
CoRR, 2022

Bayesian Identification of Nonseparable Hamiltonian Systems Using Stochastic Dynamic Models.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
A New Objective for Identification of Partially Observed Linear Time-Invariant Dynamical Systems from Input-Output Data.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

2020
Bayesian System ID: Optimal management of parameter, model, and measurement uncertainty.
CoRR, 2020

Bayesian Identification of Hamiltonian Dynamics from Symplectic Data.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020


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