Nicholas Galioto

According to our database, Nicholas Galioto authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

A switching Kalman filter approach to online mitigation and correction of sensor corruption for inertial navigation.

Artem Mustaev, Nicholas Galioto, Matt Boler, John D. Jakeman, Cosmin Safta, Alex A. Gorodetsky

CoRR, 2024

Bioinformatics Retrieval Augmentation Data (BRAD) Digital Assistant.

Joshua Pickard, Marc Andrew Choi, Natalie Oliven, Cooper Stansbury, Jillian Cwycyshyn, Nicholas Galioto, Alex A. Gorodetsky, Alvaro Velasquez, Indika Rajapakse

CoRR, 2024

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

Nicholas Galioto, Harsh Sharma, Boris Kramer, Alex Arkady Gorodetsky

CoRR, 2024

2022

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

Nicholas Galioto, Alex Arkady Gorodetsky

CoRR, 2022

Bayesian Identification of Nonseparable Hamiltonian Systems Using Stochastic Dynamic Models.

Harsh Sharma, Nicholas Galioto, Alex A. Gorodetsky, Boris Kramer

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.

Nicholas Galioto, Alex Arkady Gorodetsky

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.

Nicholas Galioto, Alex A. Gorodetsky

CoRR, 2020

Bayesian Identification of Hamiltonian Dynamics from Symplectic Data.

Nicholas Galioto, Alex A. Gorodetsky

Proceedings of the 59th IEEE Conference on Decision and Control, 2020