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ORCIDNicholas Galioto
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2020 – today
- 2024
[i6]Nicholas Galioto, Harsh Sharma, Boris Kramer, Alex Arkady Gorodetsky:
Bayesian identification of nonseparable Hamiltonians with multiplicative noise using deep learning and reduced-order modeling. CoRR abs/2401.12476 (2024)- [i5]Joshua Pickard, Marc Andrew Choi, Natalie Oliven, Cooper Stansbury, Jillian Cwycyshyn, Nicholas Galioto, Alex A. Gorodetsky, Alvaro Velasquez, Indika Rajapakse:
Bioinformatics Retrieval Augmentation Data (BRAD) Digital Assistant. CoRR abs/2409.02864 (2024) - [i4]Artem Mustaev, Nicholas Galioto, Matt Boler, John D. Jakeman, Cosmin Safta, Alex A. Gorodetsky:
A switching Kalman filter approach to online mitigation and correction of sensor corruption for inertial navigation. CoRR abs/2412.06601 (2024) - 2022
- [c3]Harsh Sharma, Nicholas Galioto
, Alex A. Gorodetsky, Boris Kramer:
Bayesian Identification of Nonseparable Hamiltonian Systems Using Stochastic Dynamic Models. CDC 2022: 6742-6749 - [i3]Harsh Sharma, Nicholas Galioto, Alex A. Gorodetsky, Boris Kramer:
Bayesian Identification of Nonseparable Hamiltonian Systems Using Stochastic Dynamic Models. CoRR abs/2209.07646 (2022) - [i2]Nicholas Galioto, Alex Arkady Gorodetsky:
Robust identification of non-autonomous dynamical systems using stochastic dynamics models. CoRR abs/2212.13902 (2022) - 2021
- [c2]Nicholas Galioto, Alex Arkady Gorodetsky:
A New Objective for Identification of Partially Observed Linear Time-Invariant Dynamical Systems from Input-Output Data. L4DC 2021: 1180-1191 - 2020
- [c1]Nicholas Galioto, Alex A. Gorodetsky:
Bayesian Identification of Hamiltonian Dynamics from Symplectic Data. CDC 2020: 1190-1195 - [i1]Nicholas Galioto, Alex A. Gorodetsky:
Bayesian System ID: Optimal management of parameter, model, and measurement uncertainty. CoRR abs/2003.02359 (2020)
Coauthor Index
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