Efficient Localization of Discontinuities in Complex Computational Simulations. - Alex A. Gorodetsky; Youssef M. Marzouk (SIAM J. Sci. Comput., 2014)

Efficient High-Dimensional Stochastic Optimal Motion Control using Tensor-Train Decomposition. - Alex A. Gorodetsky; Sertac Karaman; Youssef M. Marzouk (Robotics: Science and Systems, 2015)

Automated synthesis of low-rank control systems from sc-LTL specifications using tensor-train decompositions. - John Irvin Alora; Alex A. Gorodetsky; Sertac Karaman; Youssef M. Marzouk; Nathan Lowry (CDC, 2016)

Mercer Kernels and Integrated Variance Experimental Design: Connections Between Gaussian Process Regression and Polynomial Approximation. - Alex A. Gorodetsky; Youssef M. Marzouk (SIAM/ASA J. Uncertain. Quantification, 2016)

Low-rank tensor integration for Gaussian filtering of continuous time nonlinear systems. - Alex A. Gorodetsky; Sertac Karaman; Youssef M. Marzouk (CDC, 2017)

Continuous Tensor Train-Based Dynamic Programming for High-Dimensional Zero-Sum Differential Games. - Ezra Tal; Alex A. Gorodetsky; Sertac Karaman (ACC, 2018)

Visual-Inertial Navigation Algorithm Development Using Photorealistic Camera Simulation in the Loop. - 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; et al. (ICRA, 2018)

High-dimensional stochastic optimal control using continuous tensor decompositions. - Alex A. Gorodetsky; Sertac Karaman; Youssef M. Marzouk (Int. J. Robotics Res., 2018)

Gradient-based optimization for regression in the functional tensor-train format. - Alex A. Gorodetsky; John D. Jakeman (J. Comput. Phys., 2018)

System Identification via CUR-Factored Hankel Approximation. - Boris Kramer; Alex A. Gorodetsky (SIAM J. Sci. Comput., 2018)

Randomized Functional Sparse Tucker Tensor for Compression and Fast Visualization of Scientific Data. - Prashant Rai; Hemanth Kolla; Lewis Cannada; Alex A. Gorodetsky (CoRR, 2019)

Adaptive Multi-index Collocation for Uncertainty Quantification and Sensitivity Analysis. - John D. Jakeman; Michael Eldred; Gianluca Geraci; Alex A. Gorodetsky (CoRR, 2019)

Dynamic multi-agent assignment via discrete optimal transport. - Koray Gabriel Kachar; Alex A. Gorodetsky (CoRR, 2019)

Semi-implicit methods for the dynamics of elastic sheets. - Silas Alben; Alex A. Gorodetsky; Donghak Kim; Robert D. Deegan (J. Comput. Phys., 2019)

Uncertainty Quantification Using Generalized Polynomial Chaos for Online Simulations of Automotive Propulsion Systems. - Hang Yang; Narayanan Kidambi; Yuji Fujii; Alex A. Gorodetsky; Kon-Well Wang (ACC, 2020)

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)

Efficient MCMC Sampling for Bayesian Matrix Factorization by Breaking Posterior Symmetries. - Saibal De; Hadi Salehi; Alex A. Gorodetsky (CoRR, 2020)

MFNets: Learning network representations for multifidelity surrogate modeling. - Alex A. Gorodetsky; John D. Jakeman; Gianluca Geraci (CoRR, 2020)

A generalized approximate control variate framework for multifidelity uncertainty quantification. - Alex A. Gorodetsky; Gianluca Geraci; Michael S. Eldred; John D. Jakeman (J. Comput. Phys., 2020)

Behavioral Cloning in Atari Games Using a Combined Variational Autoencoder and Predictor Model. - Brian Chen; Siddhant Tandon; David J. Gorsich; Alex A. Gorodetsky; Shravan K. Veerapaneni (CEC, 2021)

Bayesian Inference for Time Delay Systems with Application to Connected Automated Vehicles. - Xunbi A. Ji; Tamás G. Molnár; Alex A. Gorodetsky; Gábor Orosz (ITSC, 2021)

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)

Reverse-mode differentiation in arbitrary tensor network format: with application to supervised learning. - Alex A. Gorodetsky; Cosmin Safta; John D. Jakeman (J. Mach. Learn. Res., 2022)

Inverse design of self-oscillatory gels through deep learning. - Doruk Aksoy; Silas Alben; Robert D. Deegan; Alex A. Gorodetsky (Neural Comput. Appl., 2022)

Dynamic Multiagent Assignment Via Discrete Optimal Transport. - Koray Gabriel Kachar; Alex Arkady Gorodetsky (IEEE Trans. Control. Netw. Syst., 2022)

Ensemble Approximate Control Variate Estimators: Applications to MultiFidelity Importance Sampling. - Trung Pham; Alex A. Gorodetsky (SIAM/ASA J. Uncertain. Quantification, 2022)

High-dimensional data analytics in civil engineering: A review on matrix and tensor decomposition. - Hadi Salehi; Alex A. Gorodetsky; Roya Solhmirzaei; Pengcheng Jiao (Eng. Appl. Artif. Intell., 2023)

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)

Grouped approximate control variate estimators. - Alex A. Gorodetsky; John D. Jakeman; Michael S. Eldred (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)

Incremental Hierarchical Tucker Decomposition. - Doruk Aksoy; Alex A. Gorodetsky (CoRR, 2024)

Covariance Expressions for Multifidelity Sampling with Multioutput, Multistatistic Estimators: Application to Approximate Control Variates. - Thomas O. Dixon; James E. Warner; Geoffrey F. Bomarito; Alex A. Gorodetsky (SIAM/ASA J. Uncertain. Quantification, 2024)

An Incremental Tensor Train Decomposition Algorithm. - Doruk Aksoy; David J. Gorsich; Shravan K. Veerapaneni; Alex A. Gorodetsky (SIAM J. Sci. Comput., 2024)

Low-Rank Tensor-Network Encodings for Video-to-Action Behavioral Cloning. - Brian Chen; Doruk Aksoy; David J. Gorsich; Shravan K. Veerapaneni; Alex A. Gorodetsky (Trans. Mach. Learn. Res., 2024)

A global Lipschitz stability perspective for understanding approximate approaches in Bayesian sequential learning. - Liliang Wang; Alex A. Gorodetsky (CoRR, 2025)