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An Autoencoder-Based Deep Learning Approach for Load Identification in Structural Dynamics., , , and . Sensors, 21 (12): 4207 (2021)Efficient and certified solution of parametrized one-way coupled problems through DEIM-based data projection across non-conforming interfaces., , and . Adv. Comput. Math., 49 (2): 21 (April 2023)A Reduced-Order Strategy for Solving Inverse Bayesian Shape Identification Problems in Physiological Flows., , , and . HPSC, page 145-155. Springer, (2012)EKF-SINDy: Empowering the extended Kalman filter with sparse identification of nonlinear dynamics., , , , and . CoRR, (2024)Reduced Basis Methods for Partial Differential Equations : An Introduction., , and . Springer, 1st ed. 2016 edition, (Sep 11, 2015)Reduced basis approximation and a posteriori error estimation for Stokes flows in parametrized geometries: roles of the inf-sup stability constants., , and . Numerische Mathematik, 125 (1): 115-152 (2013)Reduction Strategies for Shape Dependent Inverse Problems in Haemodynamics., , and . System Modelling and Optimization, volume 391 of IFIP Advances in Information and Communication Technology, page 397-406. Springer, (2011)VENI, VINDy, VICI: a variational reduced-order modeling framework with uncertainty quantification., , , , , , and . CoRR, (2024)Efficient State/Parameter Estimation in Nonlinear Unsteady PDEs by a Reduced Basis Ensemble Kalman Filter., , and . SIAM/ASA J. Uncertain. Quantification, 5 (1): 890-921 (2017)SINDy vs Hard Nonlinearities and Hidden Dynamics: a Benchmarking Study., , , and . CoRR, (2024)