Alex A. Gorodetsky

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 30

Top Topics

Tensor Decomposition

Importance Sampling

Top Venues

J. Comput. Phys.

SIAM J. Sci. Comput.

Publications

Doruk Aksoy, David J. Gorsich, Shravan K. Veerapaneni, Alex A. Gorodetsky
An Incremental Tensor Train Decomposition Algorithm. SIAM J. Sci. Comput. 46 (2) (2024)
Alex A. Gorodetsky, John D. Jakeman, Michael S. Eldred
Grouped approximate control variate estimators. CoRR (2024)
Brian Chen, Doruk Aksoy, David J. Gorsich, Shravan K. Veerapaneni, Alex A. Gorodetsky
Low-Rank Tensor-Network Encodings for Video-to-Action Behavioral Cloning. Trans. Mach. Learn. Res. 2024 (2024)
Hadi Salehi, Alex A. Gorodetsky, Roya Solhmirzaei, Pengcheng Jiao
High-dimensional data analytics in civil engineering: A review on matrix and tensor decomposition. Eng. Appl. Artif. Intell. 125 (2023)
Trung Pham, Alex A. Gorodetsky
Ensemble Approximate Control Variate Estimators: Applications to MultiFidelity Importance Sampling. SIAM/ASA J. Uncertain. Quantification 10 (1) (2022)
Doruk Aksoy, Silas Alben, Robert D. Deegan, Alex A. Gorodetsky
Inverse design of self-oscillatory gels through deep learning. Neural Comput. Appl. 34 (9) (2022)
Alex A. Gorodetsky, Cosmin Safta, John D. Jakeman
Reverse-mode differentiation in arbitrary tensor network format: with application to supervised learning. J. Mach. Learn. Res. 23 (2022)
Doruk Aksoy, David J. Gorsich, Shravan K. Veerapaneni, Alex A. Gorodetsky
An Incremental Tensor Train Decomposition Algorithm. CoRR (2022)
Harsh Sharma, Nicholas Galioto, Alex A. Gorodetsky, Boris Kramer
Bayesian Identification of Nonseparable Hamiltonian Systems Using Stochastic Dynamic Models. CDC (2022)
Harsh Sharma, Nicholas Galioto, Alex A. Gorodetsky, Boris Kramer
Bayesian Identification of Nonseparable Hamiltonian Systems Using Stochastic Dynamic Models. CoRR (2022)
Xunbi A. Ji, Tamás G. Molnár, Alex A. Gorodetsky, Gábor Orosz
Bayesian Inference for Time Delay Systems with Application to Connected Automated Vehicles. ITSC (2021)
Alex A. Gorodetsky, John D. Jakeman, Gianluca Geraci
MFNets: Learning network representations for multifidelity surrogate modeling. CoRR (2020)
Nicholas Galioto, Alex A. Gorodetsky
Bayesian Identification of Hamiltonian Dynamics from Symplectic Data. CDC (2020)
Saibal De, Hadi Salehi, Alex A. Gorodetsky
Efficient MCMC Sampling for Bayesian Matrix Factorization by Breaking Posterior Symmetries. CoRR (2020)
Alex A. Gorodetsky, Gianluca Geraci, Michael S. Eldred, John D. Jakeman
A generalized approximate control variate framework for multifidelity uncertainty quantification. J. Comput. Phys. 408 (2020)
Hang Yang, Narayanan Kidambi, Yuji Fujii, Alex A. Gorodetsky, Kon-Well Wang
Uncertainty Quantification Using Generalized Polynomial Chaos for Online Simulations of Automotive Propulsion Systems. ACC (2020)
Nicholas Galioto, Alex A. Gorodetsky
Bayesian System ID: Optimal management of parameter, model, and measurement uncertainty. CoRR (2020)
Silas Alben, Alex A. Gorodetsky, Donghak Kim, Robert D. Deegan
Semi-implicit methods for the dynamics of elastic sheets. J. Comput. Phys. 399 (2019)
Koray G. Kachar, Alex A. Gorodetsky
Dynamic multi-agent assignment via discrete optimal transport. CoRR (2019)
Prashant Rai, Hemanth Kolla, Lewis Cannada, Alex A. Gorodetsky
Randomized Functional Sparse Tucker Tensor for Compression and Fast Visualization of Scientific Data. CoRR (2019)
John D. Jakeman, Michael Eldred, Gianluca Geraci, Alex A. Gorodetsky
Adaptive Multi-index Collocation for Uncertainty Quantification and Sensitivity Analysis. CoRR (2019)
Boris Kramer, Alex A. Gorodetsky
System Identification via CUR-Factored Hankel Approximation. SIAM J. Sci. Comput. 40 (2) (2018)
Ezra Tal, Alex A. Gorodetsky, Sertac Karaman
Continuous Tensor Train-Based Dynamic Programming for High-Dimensional Zero-Sum Differential Games. ACC (2018)
Alex A. Gorodetsky, Sertac Karaman, Youssef M. Marzouk
High-dimensional stochastic optimal control using continuous tensor decompositions. Int. J. Robotics Res. 37 (2-3) (2018)
Alex A. Gorodetsky, John D. Jakeman
Gradient-based optimization for regression in the functional tensor-train format. J. Comput. Phys. 374 (2018)
Thomas Sayre-McCord, Winter Guerra, Amado Antonini, Jasper Arneberg, Austin Brown, Guilherme Venturelli Cavalheiro, Yajun Fang, Alex A. Gorodetsky, Dave McCoy, Sebastian Quilter, Fabian Riether, Ezra Tal, Yunus Terzioglu, Luca Carlone, Sertac Karaman
Visual-Inertial Navigation Algorithm Development Using Photorealistic Camera Simulation in the Loop. ICRA (2018)
Alex A. Gorodetsky, Sertac Karaman, Youssef M. Marzouk
Low-rank tensor integration for Gaussian filtering of continuous time nonlinear systems. CDC (2017)
John Irvin Alora, Alex A. Gorodetsky, Sertac Karaman, Youssef M. Marzouk, Nathan Lowry
Automated synthesis of low-rank control systems from sc-LTL specifications using tensor-train decompositions. CDC (2016)
Alex A. Gorodetsky, Youssef M. Marzouk
Mercer Kernels and Integrated Variance Experimental Design: Connections Between Gaussian Process Regression and Polynomial Approximation. SIAM/ASA J. Uncertain. Quantification 4 (1) (2016)
Alex A. Gorodetsky, Sertac Karaman, Youssef M. Marzouk
High-Dimensional Stochastic Optimal Control using Continuous Tensor Decompositions. CoRR (2016)
Alex A. Gorodetsky, Youssef M. Marzouk
Mercer kernels and integrated variance experimental design: connections between Gaussian process regression and polynomial approximation. CoRR (2015)
Alex A. Gorodetsky, Sertac Karaman, Youssef M. Marzouk
Efficient High-Dimensional Stochastic Optimal Motion Control using Tensor-Train Decomposition. Robotics: Science and Systems (2015)
Alex A. Gorodetsky, Youssef M. Marzouk
Efficient Localization of Discontinuities in Complex Computational Simulations. SIAM J. Sci. Comput. 36 (6) (2014)
Alex A. Gorodetsky, Youssef M. Marzouk
Efficient Localization of Discontinuities in Complex Computational Simulations. CoRR (2014)