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A Reduced-Order Strategy for Solving Inverse Bayesian Shape Identification Problems in Physiological Flows., , , and . HPSC, page 145-155. Springer, (2012)Model Reduction for Parametrized Optimal Control Problems in Environmental Marine Sciences and Engineering., , , and . SIAM J. Sci. Comput., 40 (4): B1055-B1079 (2018)Reduced Basis, Embedded Methods and Parametrized Levelset Geometry., , , and . CoRR, (2023)A Non-Intrusive Data-Driven Reduced Order Model for Parametrized CFD-DEM Numerical Simulations., , , , , and . CoRR, (2023)On a Certified Smagorinsky Reduced Basis Turbulence Model., , , , and . SIAM J. Numer. Anal., 55 (6): 3047-3067 (2017)Linear and nonlinear filtering for a two-layer quasi-geostrophic ocean model., , , and . CoRR, (2024)Non-intrusive model reduction of advection-dominated hyperbolic problems using neural network shift augmented manifold transformations., , , and . CoRR, (2024)Data-driven Discovery of Delay Differential Equations with Discrete Delays., , , , and . CoRR, (2024)A Reduced Order Cut Finite Element method for geometrically parametrized steady and unsteady Navier-Stokes problems., , , and . Comput. Math. Appl., (2022)A weighted POD-reduction approach for parametrized PDE-constrained optimal control problems with random inputs and applications to environmental sciences., , , , and . Comput. Math. Appl., (2021)