Alen Alexanderian
North Carolina State University
H-index: 21
North America-United States
Top articles of Alen Alexanderian
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Hyper-differential sensitivity analysis for nonlinear Bayesian inverse problems | International Journal for Uncertainty Quantification | Isaac Sunseri Alen Alexanderian Joseph Hart Bart van Bloemen Waanders | 2024 |
Extreme learning machines for variance-based global sensitivity analysis | International Journal for Uncertainty Quantification | John Darges Alen Alexanderian Pierre Gremaud | 2024 |
Global Sensitivity Analysis of Rare Event Probabilities using Subset Simulation and Polynomial Chaos Expansions | International Journal for Uncertainty Quantification | Michael Merritt Alen Alexanderian Pierre A Gremaud | 2023 |
Sensitivity Analysis of the Information Gain in Infinite-Dimensional Bayesian Linear Inverse Problems | arXiv preprint arXiv:2310.16906 | Abhijit Chowdhary Shanyin Tong Georg Stadler Alen Alexanderian | 2023/10/25 |
A brief note on the Bayesian D-optimality criterion | arXiv preprint arXiv:2212.11466 | Alen Alexanderian | 2023/8 |
A new perspective on parameter study of optimization problems | Applied Mathematics Letters | Alen Alexanderian Joseph Hart Mason Stevens | 2023/6/1 |
On Bayes risk of the posterior mean in linear inverse problems | arXiv preprint arXiv:2301.04270 | Alen Alexanderian | 2023/1/11 |
Variance-based sensitivity of Bayesian inverse problems to the prior distribution | arXiv preprint arXiv:2310.18488 | John E Darges Pierre A Gremaud Alen Alexanderian | 2023/10/27 |
Optimal design of large-scale nonlinear Bayesian inverse problems under model uncertainty | arXiv preprint arXiv:2211.03952 | Alen Alexanderian Ruanui Nicholson Noemi Petra | 2023 |
Risk-aware Bayesian Goal-Oriented Optimal Experimental Design. | Rebekah White Bart van Bloemen Waanders John Jakeman Drew Kouri Alen Alexanderian | 2022/9/1 | |
Hyper-differential sensitivity analysis for inverse problems governed by ODEs with application to COVID-19 modeling | Mathematical Biosciences | Mason Stevens Isaac Sunseri Alen Alexanderian | 2022/9/1 |
Using ultrasonic attenuation in cortical bone to infer distributions on pore size | Applied Mathematical Modelling | RD White A Alexanderian O Yousefian Y Karbalaeisadegh K Bekele-Maxwell | 2022/9/1 |
Coupling optimal experimental design and optimal control [Slides] | Rebekah White Bart van Bloemen Waanders Arvind Saibaba Alen Alexanderian John Jakeman | 2022/7/31 | |
On the mean and variance of quadratic functionals of Gaussian random vectors | Alen Alexanderian | 2021 | |
Hyper-Differential Sensitivity Analysis of Inverse Problems Governed by PDEs. | Isaac Sunseri Joseph Hart Alen Alexanderian Bart van Bloemen Waanders | 2021/12/1 | |
Optimal design of large-scale Bayesian linear inverse problems under reducible model uncertainty: Good to know what you don't know | SIAM/ASA Journal on Uncertainty Quantification | Alen Alexanderian Noemi Petra Georg Stadler Isaac Sunseri | 2021 |
Structure exploiting methods for fast uncertainty quantification in multiphase flow through heterogeneous media | Computational Geosciences | Helen Cleaves Alen Alexanderian Bilal Saad | 2021/12 |
Multiscale global sensitivity analysis for stochastic chemical systems | Multiscale Modeling & Simulation | Michael Merritt Alen Alexanderian Pierre A Gremaud | 2021 |
Global sensitivity analysis informed model reduction and selection applied to a Valsalva maneuver model | Journal of theoretical biology | E Benjamin Randall Nicholas Z Randolph Alen Alexanderian Mette S Olufsen | 2021/10/7 |
Monte Carlo estimators for the Schatten p-norm of symmetric positive semidefinite matrices | ETNA-Electronic Transactions on Numerical Analysis | Ethan Dudley Arvind K Saibaba Alen Alexanderian | 2021/1 |
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