Alex Gorodetsky
Cited by
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A Generalized Approximate Control Variate Framework for Multifidelity Uncertainty Quantification
AA Gorodetsky, G Geraci, MS Eldred, J Jakeman
Journal of Computational Physics 408, 109257, 2020
A continuous analogue of the tensor-train decomposition
AA Gorodetsky, S Karaman, YM Marzouk
Computer Methods in Applied Mechanics and Engineering 347, 59-84, 2018
Adaptive multi‐index collocation for uncertainty quantification and sensitivity analysis
JD Jakeman, MS Eldred, G Geraci, A Gorodetsky
International Journal for Numerical Methods in Engineering 121 (6), 1314-1343, 2020
Visual-Inertial Navigation Algorithm Development Using Photorealistic Camera Simulation in the Loop
T Sayre-McCord, W Guerra, A Antonini, J Arneberg, A Brown, ...
2018 IEEE International Conference on Robotics and Automation (ICRA), 2566-2573, 2018
High-dimensional stochastic optimal control using continuous tensor decompositions
A Gorodetsky, S Karaman, Y Marzouk
The International Journal of Robotics Research 37 (2-3), 340-377, 2018
Gradient-based Optimization for Regression in the Functional Tensor-Train Format
AA Gorodetsky, JD Jakeman
Journal of Computational Physics 374, 1219--1238, 2018
Efficient High-Dimensional Stochastic Optimal Motion Control using Tensor-Train Decomposition.
AA Gorodetsky, S Karaman, YM Marzouk
Robotics: Science and Systems, 2015
Mercer kernels and integrated variance experimental design: connections between Gaussian process regression and polynomial approximation
A Gorodetsky, Y Marzouk
SIAM/ASA Journal on Uncertainty Quantification 4 (1), 796-828, 2016
Efficient localization of discontinuities in complex computational simulations
A Gorodetsky, Y Marzouk
SIAM Journal on Scientific Computing 36 (6), A2584-A2610, 2014
Bayesian System ID: Optimal management of parameter, model, and measurement uncertainty
N Galioto, A Gorodetsky
Nonlinear Dynamics 102, 241-267, 2020
System Identification via CUR-factored Hankel Approximation
B Kramer, AA Gorodetsky
SIAM Journal on Scientific Computing 40 (2), A848-A866, 2018
MFNETS: multifidelity data-driven networks for Bayesian learning and prediction
AA Gorodetsky, JD Jakeman, G Geraci, MS Eldred
International Journal for Uncertainty Quantification 10 (6), 595-622, 2020
MFNets: data efficient all-at-once learning of multifidelity surrogates as directed networks of information sources
AA Gorodetsky, JD Jakeman, G Geraci
Computational Mechanics 68 (4), 741-758, 2021
Recent advancements in Multilevel-Multifidelity techniques for forward UQ in the DARPA Sequoia project
G Geraci, MS Eldred, A Gorodetsky, J Jakeman
AIAA Scitech 2019 Forum, 0722, 2019
Functional Tensor-Train Chebyshev Method for Multidimensional Quantum Dynamics Simulations
MB Soley, P Bergold, AA Gorodetsky, VS Batista
Journal of Chemical Theory and Computation 18 (1), 25-36, 2021
Adaptive experimental design for multi‐fidelity surrogate modeling of multi‐disciplinary systems
JD Jakeman, S Friedman, M Eldred, L Tamellini, AA Gorodetsky, D Allaire
International Journal for Numerical Methods in Engineering, 2022
Ensemble Approximate Control Variate Estimators: Applications to MultiFidelity Importance Sampling
T Pham, AA Gorodetsky
SIAM/ASA Journal on Uncertainty Quantification 10 (3), 1250-1292, 2022
Uncertainty Quantification of Electrospray Thruster Array Lifetime
BA Jorns, A Gorodetsky, I Lasky, A Kimber, P Dahl, BS Peter, R Dressler
Proceedings of the 36th International Electric Propulsion Conference, Vienna …, 2019
Multilevel-Multidelity Approaches for Forward UQ in the DARPA SEQUOIA project
MS Eldred, G Geraci, A Gorodetsky, J Jakeman
2018 AIAA Non-Deterministic Approaches Conference, 1179, 2018
Continuous low-rank tensor decompositions, with applications to stochastic optimal control and data assimilation
AA Gorodetsky
Massachusetts Institute of Technology, 2017
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