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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)A Non-Intrusive Data-Driven Reduced Order Model for Parametrized CFD-DEM Numerical Simulations., , , , , and . CoRR, (2023)Reduced Basis, Embedded Methods and Parametrized Levelset Geometry., , , 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)Data-driven Discovery of Delay Differential Equations with Discrete Delays., , , , and . CoRR, (2024)Non-intrusive model reduction of advection-dominated hyperbolic problems using neural network shift augmented manifold transformations., , , and . CoRR, (2024)Sparse Identification for bifurcating phenomena in Computational Fluid Dynamics., , , and . CoRR, (February 2025)Combining Extended Convolutional Autoencoders and Reservoir Computing for Accurate Reduced-Order Predictions of Atmospheric Flows., , , and . CoRR, (April 2025)A Streamline Upwind Petrov-Galerkin Reduced Order Method for Advection-Dominated Partial Differential Equations Under Optimal Control., , and . Comput. Methods Appl. Math., 25 (1): 237- (January 2025)