Alex A. Gorodetsky

44 papers A* 1B 1C 2Journal 34Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Hierarchical Tensor Network Structure Search for High-Dimensional Data.
CoRR
Zheng Guo, Aditya Deshpande, Xinyu Wang, Brian C. Kiedrowski, Alex A. Gorodetsky
2025 J jnl
A global Lipschitz stability perspective for understanding approximate approaches in Bayesian sequential learning.
CoRR
Liliang Wang, Alex A. Gorodetsky
2025 J jnl
Automatic biomarker discovery and enrichment with BRAD.
Bioinform.
Joshua Pickard, Ram Prakash, Marc Andrew Choi, Natalie Oliven, Cooper Stansbury, Jillian Cwycyshyn, Nicholas Galioto, Alex A. Gorodetsky, Alvaro Velasquez, Indika Rajapakse
2025 J jnl
Tensor Network Structure Search Using Program Synthesis.
CoRR
Zheng Guo, Aditya Deshpande, Brian C. Kiedrowski, Xinyu Wang, Alex A. Gorodetsky
2024 J jnl
A switching Kalman filter approach to online mitigation and correction of sensor corruption for inertial navigation.
CoRR
Artem Mustaev, Nicholas Galioto, Matt Boler, John D. Jakeman, Cosmin Safta, Alex A. Gorodetsky
2024 J jnl
An Incremental Tensor Train Decomposition Algorithm.
SIAM J. Sci. Comput.
Doruk Aksoy, David J. Gorsich, Shravan K. Veerapaneni, Alex A. Gorodetsky
2024 J jnl
Bioinformatics Retrieval Augmentation Data (BRAD) Digital Assistant.
CoRR
Joshua Pickard, Marc Andrew Choi, Natalie Oliven, Cooper Stansbury, Jillian Cwycyshyn, Nicholas Galioto, Alex A. Gorodetsky, Alvaro Velasquez, Indika Rajapakse
2024 J jnl
Covariance Expressions for Multifidelity Sampling with Multioutput, Multistatistic Estimators: Application to Approximate Control Variates.
SIAM/ASA J. Uncertain. Quantification
Thomas O. Dixon, James E. Warner, Geoffrey F. Bomarito, Alex A. Gorodetsky
2024 J jnl
Grouped approximate control variate estimators.
CoRR
Alex A. Gorodetsky, John D. Jakeman, Michael S. Eldred
2024 J jnl
Incremental Hierarchical Tucker Decomposition.
CoRR
Doruk Aksoy, Alex A. Gorodetsky
2024 J jnl
Low-Rank Tensor-Network Encodings for Video-to-Action Behavioral Cloning.
Trans. Mach. Learn. Res.
Brian Chen, Doruk Aksoy, David J. Gorsich, Shravan K. Veerapaneni, Alex A. Gorodetsky
2024 J jnl
Low-rank Bayesian matrix completion via geodesic Hamiltonian Monte Carlo on Stiefel manifolds.
CoRR
Tiangang Cui, Alex A. Gorodetsky
2023 J jnl
High-dimensional data analytics in civil engineering: A review on matrix and tensor decomposition.
Eng. Appl. Artif. Intell.
Hadi Salehi, Alex A. Gorodetsky, Roya Solhmirzaei, Pengcheng Jiao
2022 J jnl
An Incremental Tensor Train Decomposition Algorithm.
CoRR
Doruk Aksoy, David J. Gorsich, Shravan K. Veerapaneni, Alex A. Gorodetsky
2022 — conf
Bayesian Identification of Nonseparable Hamiltonian Systems Using Stochastic Dynamic Models.
CDC
Harsh Sharma, Nicholas Galioto, Alex A. Gorodetsky, Boris Kramer
2022 J jnl
Bayesian Identification of Nonseparable Hamiltonian Systems Using Stochastic Dynamic Models.
CoRR
Harsh Sharma, Nicholas Galioto, Alex A. Gorodetsky, Boris Kramer
2022 J jnl
Ensemble Approximate Control Variate Estimators: Applications to MultiFidelity Importance Sampling.
SIAM/ASA J. Uncertain. Quantification
Trung Pham, Alex A. Gorodetsky
2022 J jnl
Inverse design of self-oscillatory gels through deep learning.
Neural Comput. Appl.
Doruk Aksoy, Silas Alben, Robert D. Deegan, Alex A. Gorodetsky
2022 J jnl
Reverse-mode differentiation in arbitrary tensor network format: with application to supervised learning.
J. Mach. Learn. Res.
Alex A. Gorodetsky, Cosmin Safta, John D. Jakeman
2021 — conf
Bayesian Inference for Time Delay Systems with Application to Connected Automated Vehicles.
ITSC
Xunbi A. Ji, Tamás G. Molnár, Alex A. Gorodetsky, Gábor Orosz
2021 B conf
Behavioral Cloning in Atari Games Using a Combined Variational Autoencoder and Predictor Model.
CEC
Brian Chen, Siddhant Tandon, David J. Gorsich, Alex A. Gorodetsky, Shravan K. Veerapaneni
2020 J jnl
A generalized approximate control variate framework for multifidelity uncertainty quantification.
J. Comput. Phys.
Alex A. Gorodetsky, Gianluca Geraci, Michael S. Eldred, John D. Jakeman
2020 — conf
Bayesian Identification of Hamiltonian Dynamics from Symplectic Data.
CDC
Nicholas Galioto, Alex A. Gorodetsky
2020 J jnl
Bayesian System ID: Optimal management of parameter, model, and measurement uncertainty.
CoRR
Nicholas Galioto, Alex A. Gorodetsky
2020 J jnl
Efficient MCMC Sampling for Bayesian Matrix Factorization by Breaking Posterior Symmetries.
CoRR
Saibal De, Hadi Salehi, Alex A. Gorodetsky
2020 J jnl
MFNets: Learning network representations for multifidelity surrogate modeling.
CoRR
Alex A. Gorodetsky, John D. Jakeman, Gianluca Geraci
2020 C conf
Uncertainty Quantification Using Generalized Polynomial Chaos for Online Simulations of Automotive Propulsion Systems.
ACC
Hang Yang, Narayanan Kidambi, Yuji Fujii, Alex A. Gorodetsky, Kon-Well Wang
2019 J jnl
Adaptive Multi-index Collocation for Uncertainty Quantification and Sensitivity Analysis.
CoRR
John D. Jakeman, Michael Eldred, Gianluca Geraci, Alex A. Gorodetsky
2019 J jnl
Dynamic multi-agent assignment via discrete optimal transport.
CoRR
Koray Gabriel Kachar, Alex A. Gorodetsky
2019 J jnl
Randomized Functional Sparse Tucker Tensor for Compression and Fast Visualization of Scientific Data.
CoRR
Prashant Rai, Hemanth Kolla, Lewis Cannada, Alex A. Gorodetsky
2019 J jnl
Semi-implicit methods for the dynamics of elastic sheets.
J. Comput. Phys.
Silas Alben, Alex A. Gorodetsky, Donghak Kim, Robert D. Deegan
2018 C conf
Continuous Tensor Train-Based Dynamic Programming for High-Dimensional Zero-Sum Differential Games.
ACC
Ezra Tal, Alex A. Gorodetsky, Sertac Karaman
2018 J jnl
Gradient-based optimization for regression in the functional tensor-train format.
J. Comput. Phys.
Alex A. Gorodetsky, John D. Jakeman
2018 J jnl
High-dimensional stochastic optimal control using continuous tensor decompositions.
Int. J. Robotics Res.
Alex A. Gorodetsky, Sertac Karaman, Youssef M. Marzouk
2018 J jnl
System Identification via CUR-Factored Hankel Approximation.
SIAM J. Sci. Comput.
Boris Kramer, Alex A. Gorodetsky
2018 A* conf
Visual-Inertial Navigation Algorithm Development Using Photorealistic Camera Simulation in the Loop.
ICRA
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
2017 — conf
Low-rank tensor integration for Gaussian filtering of continuous time nonlinear systems.
CDC
Alex A. Gorodetsky, Sertac Karaman, Youssef M. Marzouk
2016 — conf
Automated synthesis of low-rank control systems from sc-LTL specifications using tensor-train decompositions.
CDC
John Irvin Alora, Alex A. Gorodetsky, Sertac Karaman, Youssef M. Marzouk, Nathan Lowry
2016 J jnl
High-Dimensional Stochastic Optimal Control using Continuous Tensor Decompositions.
CoRR
Alex A. Gorodetsky, Sertac Karaman, Youssef M. Marzouk
2016 J jnl
Mercer Kernels and Integrated Variance Experimental Design: Connections Between Gaussian Process Regression and Polynomial Approximation.
SIAM/ASA J. Uncertain. Quantification
Alex A. Gorodetsky, Youssef M. Marzouk
2015 — conf
Efficient High-Dimensional Stochastic Optimal Motion Control using Tensor-Train Decomposition.
Robotics: Science and Systems
Alex A. Gorodetsky, Sertac Karaman, Youssef M. Marzouk
2015 J jnl
Mercer kernels and integrated variance experimental design: connections between Gaussian process regression and polynomial approximation.
CoRR
Alex A. Gorodetsky, Youssef M. Marzouk
2014 J jnl
Efficient Localization of Discontinuities in Complex Computational Simulations.
CoRR
Alex A. Gorodetsky, Youssef M. Marzouk
2014 J jnl
Efficient Localization of Discontinuities in Complex Computational Simulations.
SIAM J. Sci. Comput.
Alex A. Gorodetsky, Youssef M. Marzouk