Alen Alexanderian

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 27

Top Topics

Inverse Problems

Sensitivity Analysis

Top Venues

SIAM J. Sci. Comput.

J. Sci. Comput.

SIAM/ASA J. Uncertain. Quantification

Publications

Alen Alexanderian, Joseph L. Hart, Mason Stevens
A new perspective on parameter study of optimization problems. Appl. Math. Lett. 140 (2023)
Abhijit Chowdhary, Shanyin Tong, Georg Stadler, Alen Alexanderian
Sensitivity Analysis of the Information Gain in Infinite-Dimensional Bayesian Linear Inverse Problems. CoRR (2023)
Isaac Sunseri, Alen Alexanderian, Joseph L. Hart, Bart G. van Bloemen Waanders
Hyper-differential sensitivity analysis for nonlinear Bayesian inverse problems. CoRR (2022)
Alen Alexanderian, Joseph L. Hart, Mason Stevens
A new perspective on parameter study of optimization problems. CoRR (2022)
Alen Alexanderian, Ruanui Nicholson, Noemi Petra
Optimal design of large-scale nonlinear Bayesian inverse problems under model uncertainty. CoRR (2022)
John Darges, Alen Alexanderian, Pierre-Alain Gremaud
Extreme learning machines for variance-based global sensitivity analysis. CoRR (2022)
Michael Merritt, Alen Alexanderian, Pierre-Alain Gremaud
Global sensitivity analysis of rare event probabilities. CoRR (2021)
Michael Merritt, Alen Alexanderian, Pierre-Alain Gremaud
Multiscale Global Sensitivity Analysis for Stochastic Chemical Systems. Multiscale Model. Simul. 19 (1) (2021)
Alen Alexanderian, Noemi Petra, Georg Stadler, Isaac Sunseri
Optimal Design of Large-scale Bayesian Linear Inverse Problems Under Reducible Model Uncertainty: Good to Know What You Don't Know. SIAM/ASA J. Uncertain. Quantification 9 (1) (2021)
Helen L. Cleaves, Alen Alexanderian, Bilal Saad
Structure exploiting methods for fast uncertainty quantification in multiphase flow through heterogeneous media. CoRR (2020)
Alen Alexanderian, Pierre-Alain Gremaud, Ralph C. Smith
Variance-based sensitivity analysis for time-dependent processes. Reliab. Eng. Syst. Saf. 196 (2020)
Elizabeth Herman, Alen Alexanderian, Arvind K. Saibaba
-Minimization for A-Optimal Design of Linear Inverse Problems. SIAM J. Sci. Comput. 42 (3) (2020)
Michael Merritt, Alen Alexanderian, Pierre-Alain Gremaud
Multiscale global sensitivity analysis for stochastic chemical systems. CoRR (2020)
Ethan Dudley, Arvind K. Saibaba, Alen Alexanderian
Monte Carlo Estimators for the Schatten p-norm of Symmetric Positive Semidefinite Matrices. CoRR (2020)
Hayley Guy, Alen Alexanderian, Meilin Yu
A Distributed Active Subspace Method for Scalable Surrogate Modeling of Function Valued Outputs. J. Sci. Comput. 85 (2) (2020)
Elizabeth Herman, Alen Alexanderian, Arvind K. Saibaba
-minimization for A-optimal design of linear inverse problems. CoRR (2019)
Helen L. Cleaves, Alen Alexanderian, Hayley Guy, Ralph C. Smith, Meilin Yu
Derivative-Based Global Sensitivity Analysis for Models with High-Dimensional Inputs and Functional Outputs. SIAM J. Sci. Comput. 41 (6) (2019)
Manav Vohra, Alen Alexanderian, Cosmin Safta, Sankaran Mahadevan
Sensitivity-Driven Adaptive Construction of Reduced-space Surrogates. J. Sci. Comput. 79 (2) (2019)
Arvind K. Saibaba, Johnathan M. Bardsley, D. Andrew Brown, Alen Alexanderian
Efficient Marginalization-Based MCMC Methods for Hierarchical Bayesian Inverse Problems. SIAM/ASA J. Uncertain. Quantification 7 (3) (2019)
Karina Koval, Alen Alexanderian, Georg Stadler
Optimal experimental design under irreducible uncertainty for inverse problems governed by PDEs. CoRR (2019)
Ahmed Attia, Alen Alexanderian, Arvind K. Saibaba
Goal-Oriented Optimal Design of Experiments for Large-Scale Bayesian Linear Inverse Problems. CoRR (2018)
Alen Alexanderian, Arvind K. Saibaba
Efficient D-Optimal Design of Experiments for Infinite-Dimensional Bayesian Linear Inverse Problems. SIAM J. Sci. Comput. 40 (5) (2018)
Alen Alexanderian, Noemi Petra, Georg Stadler, Omar Ghattas
Mean-Variance Risk-Averse Optimal Control of Systems Governed by PDEs with Random Parameter Fields Using Quadratic Approximations. SIAM/ASA J. Uncertain. Quantification 5 (1) (2017)
Arvind K. Saibaba, Alen Alexanderian, Ilse C. F. Ipsen
Randomized matrix-free trace and log-determinant estimators. Numerische Mathematik 137 (2) (2017)
Craig Michoski, Alen Alexanderian, C. Paillet, Ethan J. Kubatko, Clint Dawson
Stability of Nonlinear Convection-Diffusion-Reaction Systems in Discontinuous Galerkin Methods. J. Sci. Comput. 70 (2) (2017)
Joseph L. Hart, Alen Alexanderian, Pierre-Alain Gremaud
Efficient Computation of Sobol' Indices for Stochastic Models. SIAM J. Sci. Comput. 39 (4) (2017)
Alen Alexanderian, Noemi Petra, Georg Stadler, Omar Ghattas
A Fast and Scalable Method for A-Optimal Design of Experiments for Infinite-dimensional Bayesian Nonlinear Inverse Problems. SIAM J. Sci. Comput. 38 (1) (2016)
Alen Alexanderian, Noemi Petra, Georg Stadler, Omar Ghattas
-Sparsification. SIAM J. Sci. Comput. 36 (5) (2014)
Alen Alexanderian, Francesco Rizzi, Muruhan Rathinam, Olivier P. Le Maître, Omar M. Knio
Preconditioned Bayesian Regression for Stochastic Chemical Kinetics. J. Sci. Comput. 58 (3) (2014)
Alen Alexanderian, Olivier P. Le Maître, Habib N. Najm, Mohamed Iskandarani, Omar M. Knio
Multiscale Stochastic Preconditioners in Non-intrusive Spectral Projection. J. Sci. Comput. 50 (2) (2012)
Daniel Muller, Bernhard Fleck, George Dimitoglou, Benjamin W. Caplins, Desmond E. Amadigwe, Juan Pablo Garcia Ortiz, Benjamin Wamsler, Alen Alexanderian, V. Keith Hughitt, Jack Ireland
JHelioviewer: Visualizing Large Sets of Solar Images Using JPEG 2000. Comput. Sci. Eng. 11 (5) (2009)