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Error-in-variables modelling for operator learning., , , и . MSML, том 190 из Proceedings of Machine Learning Research, стр. 142-157. PMLR, (2022)Equivariant graph convolutional neural networks for the representation of homogenized anisotropic microstructural mechanical response., , и . CoRR, (2024)GMLS-Nets: A Machine Learning Framework for Unstructured Data., , , и . AAAI Spring Symposium: MLPS, том 2587 из CEUR Workshop Proceedings, CEUR-WS.org, (2020)Nonlinear integro-differential operator regression with neural networks., и . CoRR, (2018)Thermodynamically consistent physics-informed neural networks for hyperbolic systems., , , , , , и . J. Comput. Phys., (2022)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)Thermodynamically consistent physics-informed neural networks for hyperbolic systems., , , , , , и . CoRR, (2020)Partition of Unity Networks: Deep HP-Approximation., , , , и . AAAI Spring Symposium: MLPS, том 2964 из CEUR Workshop Proceedings, CEUR-WS.org, (2021)Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint., , , , и . CoRR, (2019)A Block Coordinate Descent Optimizer for Classification Problems Exploiting Convexity., , , и . AAAI Spring Symposium: MLPS, том 2964 из CEUR Workshop Proceedings, CEUR-WS.org, (2021)