Oct 15, 2020 · This paper proposes the Int-Deep framework from a new point of view for designing highly efficient solvers of low-dimensional nonlinear PDEs ...
Oct 3, 2019 · Abstract:This paper focuses on proposing a deep learning initialized iterative method (Int-Deep) for low-dimensional nonlinear partial ...
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This paper focuses on proposing a deep learning initialized iterative method (Int-Deep) for low-dimensional nonlinear partial differential equations (PDEs).
Oct 15, 2020 · This paper proposes a deep-learning-initialized iterative method (Int-Deep) for low-dimensional nonlinear partial differential equations (PDEs).
Jun 23, 2020 · This paper proposes a deep-learning-initialized iterative method (Int-Deep) for low-dimensional nonlinear partial differential equations (PDEs).
Int-Deep: A Deep Learning Initialized Iterative Method for Nonlinear Problems · J. Huang, Haoqin Wang, Haizhao Yang · Published in Journal of ...
This paper proposes a deep-learning-initialized iterative method (Int-Deep) for low-dimensional nonlinear partial differential equations (PDEs).
Abstract. We propose reproducing activation functions (RAFs) motivated by applied and com- putational harmonic analysis to improve deep learning accuracy ...
Int-deep: A deep learning initialized iterative method for nonlinear problems. Journal of Computational Physics, 419:109675, 2020. 5.2.1. Diederik P Kingma ...
Mar 1, 2024 · Int-Deep: A deep learning initialized iterative method for nonlinear problems. J. Comput. Phys., 419:109675, 2020. [23] G. E. Karniadakis ...