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Thermodynamically consistent physics-informed neural networks for hyperbolic systems., , , , , , и . CoRR, (2020)Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint., , , , и . MSML, том 107 из Proceedings of Machine Learning Research, стр. 512-536. PMLR, (2020)Using Design Patterns and XML to Construct an Extensible Finite Element System., , , и . International Conference on Computational Science (3), том 2331 из Lecture Notes in Computer Science, стр. 735-744. Springer, (2002)Partition of Unity Networks: Deep HP-Approximation., , , , и . AAAI Spring Symposium: MLPS, том 2964 из CEUR Workshop Proceedings, CEUR-WS.org, (2021)Parallel Training of GRU Networks with a Multi-Grid Solver for Long Sequences., и . ICLR, OpenReview.net, (2022)Numerical Methods for Computing the Free Energy of Coarse-Grained Molecular Systems. University of Illinois Urbana-Champaign, USA, (2008)Stabilization and scalable block preconditioning for the Navier–Stokes equations, , и . Journal of Computational Physics, 231 (2): 345-363 (2012)A New Approximate Block Factorization Preconditioner for Two-Dimensional Incompressible (Reduced) Resistive MHD., , , , и . SIAM J. Sci. Comput., (2013)An implicit-in-time DPG formulation of the 1D1V Vlasov-Poisson equations., , , и . Comput. Math. Appl., (января 2024)Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint., , , , и . CoRR, (2019)