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2020 – today
- 2024
[i13]Abhijit Chowdhary, Ahmed Attia, Alen Alexanderian:
Robust optimal design of large-scale Bayesian nonlinear inverse problems. CoRR abs/2409.09137 (2024)- 2023
- [j19]Alen Alexanderian
, Joseph L. Hart, Mason Stevens:
A new perspective on parameter study of optimization problems. Appl. Math. Lett. 140: 108548 (2023) - [i12]Abhijit Chowdhary, Shanyin Tong, Georg Stadler, Alen Alexanderian:
Sensitivity Analysis of the Information Gain in Infinite-Dimensional Bayesian Linear Inverse Problems. CoRR abs/2310.16906 (2023) - 2022
- [i11]John Darges, Alen Alexanderian, Pierre-Alain Gremaud:
Extreme learning machines for variance-based global sensitivity analysis. CoRR abs/2201.05586 (2022) - [i10]Isaac Sunseri, Alen Alexanderian, Joseph L. Hart, Bart G. van Bloemen Waanders:
Hyper-differential sensitivity analysis for nonlinear Bayesian inverse problems. CoRR abs/2202.02219 (2022) - [i9]Alen Alexanderian, Joseph L. Hart, Mason Stevens:
A new perspective on parameter study of optimization problems. CoRR abs/2209.11580 (2022) - [i8]Alen Alexanderian, Ruanui Nicholson, Noemi Petra:
Optimal design of large-scale nonlinear Bayesian inverse problems under model uncertainty. CoRR abs/2211.03952 (2022) - 2021
- [j18]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): 163-184 (2021) - [j17]Michael Merritt, Alen Alexanderian, Pierre-Alain Gremaud:
Multiscale Global Sensitivity Analysis for Stochastic Chemical Systems. Multiscale Model. Simul. 19(1): 440-459 (2021) - [i7]Michael Merritt, Alen Alexanderian, Pierre-Alain Gremaud:
Global sensitivity analysis of rare event probabilities. CoRR abs/2110.13974 (2021) - 2020
- [j16]Hayley Guy, Alen Alexanderian, Meilin Yu:
A Distributed Active Subspace Method for Scalable Surrogate Modeling of Function Valued Outputs. J. Sci. Comput. 85(2): 36 (2020) - [j15]Alen Alexanderian, Pierre-Alain Gremaud, Ralph C. Smith:
Variance-based sensitivity analysis for time-dependent processes. Reliab. Eng. Syst. Saf. 196: 106722 (2020) - [j14]Elizabeth Herman, Alen Alexanderian, Arvind K. Saibaba:
Randomization and Reweighted ℓ1-Minimization for A-Optimal Design of Linear Inverse Problems. SIAM J. Sci. Comput. 42(3): A1714-A1740 (2020) - [i6]Michael Merritt, Alen Alexanderian, Pierre-Alain Gremaud:
Multiscale global sensitivity analysis for stochastic chemical systems. CoRR abs/2003.07842 (2020) - [i5]Ethan Dudley, Arvind K. Saibaba, Alen Alexanderian:
Monte Carlo Estimators for the Schatten p-norm of Symmetric Positive Semidefinite Matrices. CoRR abs/2005.10174 (2020) - [i4]Helen L. Cleaves, Alen Alexanderian, Bilal Saad:
Structure exploiting methods for fast uncertainty quantification in multiphase flow through heterogeneous media. CoRR abs/2008.11274 (2020)
2010 – 2019
- 2019
- [j13]Manav Vohra, Alen Alexanderian, Cosmin Safta, Sankaran Mahadevan:
Sensitivity-Driven Adaptive Construction of Reduced-space Surrogates. J. Sci. Comput. 79(2): 1335-1359 (2019) - [j12]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): 1105-1131 (2019) - [j11]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): A3524-A3551 (2019) - [i3]Elizabeth Herman, Alen Alexanderian, Arvind K. Saibaba:
Randomization and reweighted 𝓁1-minimization for A-optimal design of linear inverse problems. CoRR abs/1906.03791 (2019) - [i2]Karina Koval, Alen Alexanderian, Georg Stadler:
Optimal experimental design under irreducible uncertainty for inverse problems governed by PDEs. CoRR abs/1912.08915 (2019) - 2018
- [j10]Alen Alexanderian, Arvind K. Saibaba:
Efficient D-Optimal Design of Experiments for Infinite-Dimensional Bayesian Linear Inverse Problems. SIAM J. Sci. Comput. 40(5): A2956-A2985 (2018) - [i1]Ahmed Attia, Alen Alexanderian, Arvind K. Saibaba:
Goal-Oriented Optimal Design of Experiments for Large-Scale Bayesian Linear Inverse Problems. CoRR abs/1802.06517 (2018) - 2017
- [j9]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): 516-550 (2017) - [j8]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): 1166-1192 (2017) - [j7]Arvind K. Saibaba, Alen Alexanderian, Ilse C. F. Ipsen:
Randomized matrix-free trace and log-determinant estimators. Numerische Mathematik 137(2): 353-395 (2017) - [j6]Joseph L. Hart, Alen Alexanderian, Pierre-Alain Gremaud:
Efficient Computation of Sobol' Indices for Stochastic Models. SIAM J. Sci. Comput. 39(4) (2017) - 2016
- [j5]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) - 2014
- [j4]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): 592-626 (2014) - [j3]Alen Alexanderian, Noemi Petra, Georg Stadler, Omar Ghattas:
A-Optimal Design of Experiments for Infinite-Dimensional Bayesian Linear Inverse Problems with Regularized ℓ0-Sparsification. SIAM J. Sci. Comput. 36(5) (2014) - 2012
- [j2]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): 306-340 (2012)
2000 – 2009
- 2009
- [j1]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): 38-47 (2009)
Coauthor Index
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