Learning Physics-Informed Neural Networks without Stacked
Back-propagation

Learning Physics-Informed Neural Networks without Stacked Back-propagation

18 February 2022

Jiang Bian

Papers citing "Learning Physics-Informed Neural Networks without Stacked Back-propagation"

5 / 5 papers shown

Title
Scalable Back-Propagation-Free Training of Optical Physics-Informed Neural Networks Yequan Zhao Xinling Yu Xian Xiao Zhengzhang Chen Zhengwu Liu G. Kurczveil R. Beausoleil Shixuan Liu Z. Zhang 59 0 0 17 Feb 2025
Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators Zekun Shi Zheyuan Hu Min Lin Kenji Kawaguchi 242 6 0 27 Nov 2024
Unsupervised Random Quantum Networks for PDEs Josh Dees Antoine Jacquier Sylvain Laizet 29 2 0 21 Dec 2023
Does Federated Learning Really Need Backpropagation? H. Feng Tianyu Pang Chao Du Wei Chen Shuicheng Yan Min Lin FedML 41 10 0 28 Jan 2023
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 271 2,315 0 18 Oct 2020