Alen Alexanderian

39 papers Journal 39

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FlexTrace: Exchangeable Randomized Trace Estimation for Matrix Functions. CoRR Madhusudan Madhavan, Alen Alexanderian, Arvind K. Saibaba
2025	J	`jnl`	A control-oriented approach to optimal sensor placement. CoRR Madhusudan Madhavan, Alen Alexanderian, Arvind K. Saibaba, Bart G. van Bloemen Waanders, Rebekah D. White
2025	J	`jnl`	Bridging the Gap Between Deterministic and Probabilistic Approaches to State Estimation. CoRR Lev Kakasenko, Alen Alexanderian, Mohammad Farazmand, Arvind K. Saibaba
2025	J	`jnl`	Goal Oriented Optimal Design of Infinite-Dimensional Bayesian Inverse Problems using Quadratic Approximations. J. Sci. Comput. J. Nicholas Neuberger, Alen Alexanderian, Bart G. van Bloemen Waanders
2025	J	`jnl`	Optimal sensor placement under model uncertainty in the weak-constraint 4D-Var framework. CoRR Alen Alexanderian, Hugo Díaz, Vishwas Rao, Arvind K. Saibaba
2025	J	`jnl`	Preconditioned pseudo-time continuation for parameterized inverse problems. CoRR Joseph L. Hart, Alen Alexanderian, Bart G. van Bloemen Waanders
2024	J	`jnl`	Goal oriented optimal design of infinite-dimensional Bayesian inverse problems using quadratic approximations. CoRR J. Nicholas Neuberger, Alen Alexanderian, Bart G. van Bloemen Waanders
2024	J	`jnl`	Robust optimal design of large-scale Bayesian nonlinear inverse problems. CoRR Abhijit Chowdhary, Ahmed Attia, Alen Alexanderian
2023	J	`jnl`	A new perspective on parameter study of optimization problems. Appl. Math. Lett. Alen Alexanderian, Joseph L. Hart, Mason Stevens
2023	J	`jnl`	Sensitivity Analysis of the Information Gain in Infinite-Dimensional Bayesian Linear Inverse Problems. CoRR Abhijit Chowdhary, Shanyin Tong, Georg Stadler, Alen Alexanderian
2022	J	`jnl`	A new perspective on parameter study of optimization problems. CoRR Alen Alexanderian, Joseph L. Hart, Mason Stevens
2022	J	`jnl`	Extreme learning machines for variance-based global sensitivity analysis. CoRR John Darges, Alen Alexanderian, Pierre-Alain Gremaud
2022	J	`jnl`	Hyper-differential sensitivity analysis for nonlinear Bayesian inverse problems. CoRR Isaac Sunseri, Alen Alexanderian, Joseph L. Hart, Bart G. van Bloemen Waanders
2022	J	`jnl`	Optimal design of large-scale nonlinear Bayesian inverse problems under model uncertainty. CoRR Alen Alexanderian, Ruanui Nicholson, Noemi Petra
2021	J	`jnl`	Global sensitivity analysis of rare event probabilities. CoRR Michael Merritt, Alen Alexanderian, Pierre-Alain Gremaud
2021	J	`jnl`	Multiscale Global Sensitivity Analysis for Stochastic Chemical Systems. Multiscale Model. Simul. Michael Merritt, Alen Alexanderian, Pierre-Alain Gremaud
2021	J	`jnl`	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 Alen Alexanderian, Noemi Petra, Georg Stadler, Isaac Sunseri
2020	J	`jnl`	A Distributed Active Subspace Method for Scalable Surrogate Modeling of Function Valued Outputs. J. Sci. Comput. Hayley Guy, Alen Alexanderian, Meilin Yu
2020	J	`jnl`	Monte Carlo Estimators for the Schatten p-norm of Symmetric Positive Semidefinite Matrices. CoRR Ethan Dudley, Arvind K. Saibaba, Alen Alexanderian
2020	J	`jnl`	Multiscale global sensitivity analysis for stochastic chemical systems. CoRR Michael Merritt, Alen Alexanderian, Pierre-Alain Gremaud
2020	J	`jnl`	Randomization and Reweighted ℓ SIAM J. Sci. Comput. Elizabeth Herman, Alen Alexanderian, Arvind K. Saibaba
2020	J	`jnl`	Structure exploiting methods for fast uncertainty quantification in multiphase flow through heterogeneous media. CoRR Helen L. Cleaves, Alen Alexanderian, Bilal Saad
2020	J	`jnl`	Variance-based sensitivity analysis for time-dependent processes. Reliab. Eng. Syst. Saf. Alen Alexanderian, Pierre-Alain Gremaud, Ralph C. Smith
2019	J	`jnl`	Derivative-Based Global Sensitivity Analysis for Models with High-Dimensional Inputs and Functional Outputs. SIAM J. Sci. Comput. Helen L. Cleaves, Alen Alexanderian, Hayley Guy, Ralph C. Smith, Meilin Yu
2019	J	`jnl`	Efficient Marginalization-Based MCMC Methods for Hierarchical Bayesian Inverse Problems. SIAM/ASA J. Uncertain. Quantification Arvind K. Saibaba, Johnathan M. Bardsley, D. Andrew Brown, Alen Alexanderian
2019	J	`jnl`	Optimal experimental design under irreducible uncertainty for inverse problems governed by PDEs. CoRR Karina Koval, Alen Alexanderian, Georg Stadler
2019	J	`jnl`	Randomization and reweighted 𝓁 CoRR Elizabeth Herman, Alen Alexanderian, Arvind K. Saibaba
2019	J	`jnl`	Sensitivity-Driven Adaptive Construction of Reduced-space Surrogates. J. Sci. Comput. Manav Vohra, Alen Alexanderian, Cosmin Safta, Sankaran Mahadevan
2018	J	`jnl`	Efficient D-Optimal Design of Experiments for Infinite-Dimensional Bayesian Linear Inverse Problems. SIAM J. Sci. Comput. Alen Alexanderian, Arvind K. Saibaba
2018	J	`jnl`	Goal-Oriented Optimal Design of Experiments for Large-Scale Bayesian Linear Inverse Problems. CoRR Ahmed Attia, Alen Alexanderian, Arvind K. Saibaba
2017	J	`jnl`	Efficient Computation of Sobol' Indices for Stochastic Models. SIAM J. Sci. Comput. Joseph L. Hart, Alen Alexanderian, Pierre-Alain Gremaud
2017	J	`jnl`	Mean-Variance Risk-Averse Optimal Control of Systems Governed by PDEs with Random Parameter Fields Using Quadratic Approximations. SIAM/ASA J. Uncertain. Quantification Alen Alexanderian, Noemi Petra, Georg Stadler, Omar Ghattas
2017	J	`jnl`	Randomized matrix-free trace and log-determinant estimators. Numerische Mathematik Arvind K. Saibaba, Alen Alexanderian, Ilse C. F. Ipsen
2017	J	`jnl`	Stability of Nonlinear Convection-Diffusion-Reaction Systems in Discontinuous Galerkin Methods. J. Sci. Comput. Craig Michoski, Alen Alexanderian, C. Paillet, Ethan J. Kubatko, Clint Dawson
2016	J	`jnl`	A Fast and Scalable Method for A-Optimal Design of Experiments for Infinite-dimensional Bayesian Nonlinear Inverse Problems. SIAM J. Sci. Comput. Alen Alexanderian, Noemi Petra, Georg Stadler, Omar Ghattas
2014	J	`jnl`	A-Optimal Design of Experiments for Infinite-Dimensional Bayesian Linear Inverse Problems with Regularized ℓ SIAM J. Sci. Comput. Alen Alexanderian, Noemi Petra, Georg Stadler, Omar Ghattas
2014	J	`jnl`	Preconditioned Bayesian Regression for Stochastic Chemical Kinetics. J. Sci. Comput. Alen Alexanderian, Francesco Rizzi, Muruhan Rathinam, Olivier P. Le Maître, Omar M. Knio
2012	J	`jnl`	Multiscale Stochastic Preconditioners in Non-intrusive Spectral Projection. J. Sci. Comput. Alen Alexanderian, Olivier P. Le Maître, Habib N. Najm, Mohamed Iskandarani, Omar M. Knio
2009	J	`jnl`	JHelioviewer: Visualizing Large Sets of Solar Images Using JPEG 2000. Comput. Sci. Eng. 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