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Ahmed Attia
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Year
Goal-Oriented Optimal Design of Experiments for Large-Scale Bayesian Linear Inverse Problems
A Attia, A Alexanderian, AK Saibaba
Inverse Problems 34 (9), 095009, 2018
552018
The reduced‐order hybrid Monte Carlo sampling smoother
A Attia, R Ştefănescu, A Sandu
International Journal for Numerical Methods in Fluids 83 (1), 28-51, 2017
332017
A hybrid Monte Carlo sampling filter for non-gaussian data assimilation
A Attia, A Sandu
AIMS Geosciences 1, 41-78, 2015
30*2015
Cluster sampling filters for non-Gaussian data assimilation
A Attia, A Moosavi, A Sandu
Atmosphere 9 (6), 213, 2018
252018
Cluster Sampling Filters for Non-Gaussian Data Assimilation
A Attia, A Moosavi, A Sandu
Atmosphere 9, 2018
252018
A Hybrid Monte‐Carlo sampling smoother for four‐dimensional data assimilation
A Attia, V Rao, A Sandu
International Journal for Numerical Methods in Fluids 83 (1), 90-112, 2017
252017
A machine learning approach to adaptive covariance localization
A Moosavi, A Attia, A Sandu
arXiv preprint arXiv:1801.00548, 2018
202018
A sampling approach for four dimensional data assimilation
A Attia, V Rao, A Sandu
International Conference on Dynamic Data-Driven Environmental Systems …, 2014
172014
DATeS: a highly extensible data assimilation testing suite v1. 0
A Attia, A Sandu
Geoscientific Model Development 12 (2), 629-649, 2019
14*2019
An optimal experimental design framework for adaptive inflation and covariance localization for ensemble filters
A Attia, E Constantinescu
arXiv preprint arXiv:1806.10655, 2018
122018
Stochastic learning approach for binary optimization: Application to Bayesian optimal design of experiments
A Attia, S Leyffer, TS Munson
SIAM Journal on Scientific Computing 44 (2), B395-B427, 2022
112022
Tuning covariance localization using machine learning
A Moosavi, A Attia, A Sandu
Computational Science–ICCS 2019: 19th International Conference, Faro …, 2019
102019
Optimal experimental design for inverse problems in the presence of observation correlations
A Attia, E Constantinescu
SIAM Journal on Scientific Computing 44 (4), A2808-A2842, 2022
92022
PyOED: An extensible suite for data assimilation and model-constrained optimal design of experiments
A Chowdhary, SE Ahmed, A Attia
arXiv preprint arXiv:2301.08336, 2023
52023
Advanced Sampling Methods for Solving Large-Scale Inverse Problems
A Attia
Virginia Polytechnic Institute and State University, 2016
52016
Robust A-optimal experimental design for Bayesian inverse problems
A Attia, S Leyffer, T Munson
arXiv preprint arXiv:2305.03855, 2023
22023
Centralized calibration of power system dynamic models using variational data assimilation
A Attia, DA Maldonado, E Constantinescu, M Anitescu
arXiv preprint arXiv:2311.07676, 2023
2023
Heuristic Algorithms for Placing Geomagnetically Induced Current Blocking Devices
M Ryu, A Attia, A Barnes, R Bent, S Leyffer, A Mate
arXiv preprint arXiv:2310.09409, 2023
2023
Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments
A Attia, S Leyffer, T Munson
arXiv preprint arXiv:2101.05958, 2021
2021
Computer Science Technical Report CSTR-1
A Moosavi, A Attia, A Sandu
arXiv preprint arXiv:1801.00548, 2018
2018
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