Observable-supervised autoencoder surrogates improve variational parameter calibration for CFD flows compared with reconstruction-only surrogate baselines.
A comprehensive deep learning-based approach to reduced order modeling of nonlinear time-dependent parametrized pdes,
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Variational Parameter Calibration with Physics-Aware Latent-Space Surrogates
Observable-supervised autoencoder surrogates improve variational parameter calibration for CFD flows compared with reconstruction-only surrogate baselines.