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Entropy stability and well-balancedness of space-time DG for the shallow water equations with bottom topography., and . Networks Heterog. Media, 11 (1): 145-162 (2016)wPINNs: Weak Physics Informed Neural Networks for Approximating Entropy Solutions of Hyperbolic Conservation Laws., , and . SIAM J. Numer. Anal., 62 (2): 811-841 (2024)An Evaluative Measure of Clustering Methods Incorporating Hyperparameter Sensitivity., , , , and . AAAI, page 7788-7796. AAAI Press, (2022)Numerical Approximation of Statistical Solutions of Scalar Conservation Laws., , and . SIAM J. Numer. Anal., 56 (5): 2989-3009 (2018)Error analysis for physics-informed neural networks (PINNs) approximating Kolmogorov PDEs., and . Adv. Comput. Math., 48 (6): 79 (2022)A universal approximation theorem for nonlinear resistive networks., and . CoRR, (2023)On the discrete equation model for compressible multiphase fluid flows., , and . CoRR, (2022)Finite basis physics-informed neural networks as a Schwarz domain decomposition method., , , and . CoRR, (2022)Multi-Scale Message Passing Neural PDE Solvers., , and . CoRR, (2023)An operator preconditioning perspective on training in physics-informed machine learning., , , and . CoRR, (2023)