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Optimal projection of observations in a Bayesian setting., , , and . Comput. Stat. Data Anal., (2018)ULFM-MPI Implementation of a Resilient Task-Based Partial Differential Equations Preconditioner., , , , , , , and . FTXS@HPDC, page 19-26. ACM, (2016)Natural Convection in a Closed Cavity under Stochastic Non-Boussinesq Conditions., , , , , and . SIAM J. Sci. Comput., 26 (2): 375-394 (2004)Abnormal events detection using deep neural networks: application to extreme sea surface temperature detection in the Red Sea., , , , , and . J. Electronic Imaging, 28 (2): 021012 (2019)Efficient SST prediction in the Red Sea using hybrid deep learning-based approach., , , , and . INDIN, page 107-117. IEEE, (2022)An effective hybrid decomposition approach to solve the network-constrained stochastic unit commitment problem in large-scale power systems., , , and . EURO J. Comput. Optim., (2024)Multiscale Stochastic Preconditioners in Non-intrusive Spectral Projection., , , , and . J. Sci. Comput., 50 (2): 306-340 (2012)Uncertainty Quantification in MD Simulations. Part II: Bayesian Inference of Force-Field Parameters., , , , , , and . Multiscale Modeling & Simulation, 10 (4): 1460-1492 (2012)Scalability of Partial Differential Equations Preconditioner Resilient to Soft and Hard Faults., , , , , , , , and . ISC, volume 9697 of Lecture Notes in Computer Science, page 469-485. Springer, (2016)Downscaling Using CDAnet Under Observational and Model Noises: The Rayleigh-Benard Convection Paradigm., , , and . CoRR, (2023)