Learning to Optimize Multigrid PDE Solvers

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Learning to Optimize Multigrid PDE Solvers

25 February 2019

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Papers citing "Learning to Optimize Multigrid PDE Solvers"

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Title
Physics-Aware Downsampling with Deep Learning for Scalable Flood Modeling Niv Giladi Z. Ben-Haim Sella Nevo Yossi Matias Daniel Soudry AI4CE 54 9 0 14 Jun 2021
Optimization-Based Algebraic Multigrid Coarsening Using Reinforcement Learning Ali Taghibakhshi S. MacLachlan Luke N. Olson Matthew West AI4CE 59 31 0 03 Jun 2021
Spectral Analysis of the Neural Tangent Kernel for Deep Residual Networks Yuval Belfer Amnon Geifman Meirav Galun Ronen Basri 74 17 0 07 Apr 2021
Translating Numerical Concepts for PDEs into Neural Architectures Tobias Alt Pascal Peter Joachim Weickert Karl Schrader 67 6 0 29 Mar 2021
Learning to Optimize: A Primer and A Benchmark Tianlong Chen Xiaohan Chen Wuyang Chen Howard Heaton Jialin Liu Zhangyang Wang W. Yin 264 237 0 23 Mar 2021
Learning optimal multigrid smoothers via neural networks Ru Huang Ruipeng Li Yuanzhe Xi AI4CE 69 30 0 24 Feb 2021
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 552 2,465 0 18 Oct 2020
Deep Generative Models that Solve PDEs: Distributed Computing for Training Large Data-Free Models Sergio Botelho Ameya Joshi Biswajit Khara Soumik Sarkar Chinmay Hegde Santi S. Adavani Baskar Ganapathysubramanian AI4CE 52 6 0 24 Jul 2020
Learning Algebraic Multigrid Using Graph Neural Networks Ilay Luz Meirav Galun Haggai Maron Ronen Basri I. Yavneh 71 71 0 12 Mar 2020
Variational training of neural network approximations of solution maps for physical models Yingzhou Li Jianfeng Lu Anqi Mao GAN 81 36 0 07 May 2019