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Nonlinear Model Order Reduction via Lifting Transformations and Proper Orthogonal Decomposition., and . CoRR, (2018)Convergence analysis of multifidelity Monte Carlo estimation., , and . Numerische Mathematik, 139 (3): 683-707 (2018)Data-driven reduced-order models via regularized operator inference for a single-injector combustion process., , and . CoRR, (2020)Goal-Oriented Inference: Approach, Linear Theory, and Application to Advection Diffusion., and . SIAM Rev., 55 (3): 493-519 (2013)Krylov projection framework for Fourier model reduction., and . Autom., 44 (1): 209-215 (2008)A variance-based sensitivity index function for factor prioritization., and . Reliab. Eng. Syst. Saf., (2012)Learning physics-based models from data: perspectives from inverse problems and model reduction., and . Acta Numer., (May 2021)Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas., , , , , , , , and . Frontiers Artif. Intell., (February 2023)Missing point estimation in models described by proper orthogonal decomposition., , , and . CDC, page 1767-1772. IEEE, (2004)Scalable posterior approximations for large-scale Bayesian inverse problems via likelihood-informed parameter and state reduction., , and . J. Comput. Phys., (2016)