Bayesian Identification of Hamiltonian Dynamics from Symplectic Data. - Nicholas Galioto; Alex A. Gorodetsky (CDC, 2020)

Bayesian System ID: Optimal management of parameter, model, and measurement uncertainty. - Nicholas Galioto; Alex A. Gorodetsky (CoRR, 2020)

A New Objective for Identification of Partially Observed Linear Time-Invariant Dynamical Systems from Input-Output Data. - Nicholas Galioto; Alex Arkady Gorodetsky (L4DC, 2021)

Bayesian Identification of Nonseparable Hamiltonian Systems Using Stochastic Dynamic Models. - Harsh Sharma; Nicholas Galioto; Alex A. Gorodetsky; Boris Kramer (CDC, 2022)

Robust identification of non-autonomous dynamical systems using stochastic dynamics models. - Nicholas Galioto; Alex Arkady Gorodetsky (CoRR, 2022)

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)

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)

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)