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Hai V. Nguyen

Second-order consistency for learning chaotic dynamics via randomized Jacobian matching
TAEN: A Model-Constrained Tikhonov Autoencoder Network for Forward and Inverse Problems
A Model-Constrained Discontinuous Galerkin Network (DGNet) for Compressible Euler Equations with Out-of-Distribution Generalization
TNet: A Model-Constrained Tikhonov Network Approach for Inverse Problems
Model-constrained uncertainty quantification for scientific deep learning of inverse solutions
On Unifying Randomized Methods for Inverse Problems
A Model-Constrained Tangent Slope Learning Approach for Dynamical Systems

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