Alex Gorodetsky
Alex Gorodetsky
Assistant Professor of Aerospace Engineering, University of Michigan
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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
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
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
Efficient High-Dimensional Stochastic Optimal Motion Control using Tensor-Train Decomposition.
AA Gorodetsky, S Karaman, YM Marzouk
Robotics: Science and Systems, 2015
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
Efficient localization of discontinuities in complex computational simulations
A Gorodetsky, Y Marzouk
SIAM Journal on Scientific Computing 36 (6), A2584-A2610, 2014
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
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
System Identification via CUR-factored Hankel Approximation
B Kramer, AA Gorodetsky
SIAM Journal on Scientific Computing 40 (2), A848-A866, 2018
Continuous low-rank tensor decompositions, with applications to stochastic optimal control and data assimilation
AA Gorodetsky
Massachusetts Institute of Technology, 2017
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
Leveraging active directions for efficient multifidelity uq
G Geraci, MS Eldred, AA Gorodetsky, JD Jakeman
6th European Conference on Computational Mechanics—7th European Conference …, 2018
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
Automated synthesis of low-rank control systems from sc-LTL specifications using tensor-train decompositions
JI Alora, A Gorodetsky, S Karaman, Y Marzouk, N Lowry
2016 IEEE 55th Conference on Decision and Control (CDC), 1131-1138, 2016
Continuous tensor train-based dynamic programming for high-dimensional zero-sum differential games
E Tal, A Gorodetsky, S Karaman
2018 Annual American Control Conference (ACC), 6086-6093, 2018
Latent Variable Networks for Multifidelity Uncertainty Quantification and Data Fusion
A Gorodetsky, G Geraci, M Eldred, J Jakeman
7th European Conference on Computational Fluid Dynamics (ECFD 7), 11-15, 2018
MFNETS: multifidelity data-driven networks for Bayesian learning and prediction
AA Gorodetsky, JD Jakeman, G Geraci, MS Eldred …, 2020
Uncertainty Quantification of Electrospray Thruster Array Lifetime
BA Jorns, A Gorodetsky, I Lasky, A Kimber, P Dahl, BS Peter, R Dressler
A learning method for the approximation of discontinuous functions for stochastic simulations
AA Gorodetsky
Massachusetts Institute of Technology, 2012
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