A Lagrangian Dual-based Theory-guided Deep Neural Network

24 August 2020

Papers citing "A Lagrangian Dual-based Theory-guided Deep Neural Network"

8 / 8 papers shown

Title
Filtered Partial Differential Equations: a robust surrogate constraint in physics-informed deep learning framework Dashan Zhang Yuntian Chen Shiyi Chen AI4CE 82 2 0 07 Nov 2023
Worth of knowledge in deep learning Hao Xu Yuntian Chen Dong-juan Zhang 61 0 0 03 Jul 2023
AutoKE: An automatic knowledge embedding framework for scientific machine learning Mengge Du Yuntian Chen Dongxiao Zhang AI4CE 78 11 0 11 May 2022
Machine Learning in Aerodynamic Shape Optimization Ji-chao Li Xiaosong Du J. Martins AI4CE 97 195 0 15 Feb 2022
Domain-guided Machine Learning for Remotely Sensed In-Season Crop Growth Estimation G. Worrall Anand Rangarajan J. Judge 84 7 0 24 Jun 2021
Robust discovery of partial differential equations in complex situations Hao Xu Dongxiao Zhang AI4CE 87 29 0 31 May 2021
Weak Form Theory-guided Neural Network (TgNN-wf) for Deep Learning of Subsurface Single and Two-phase Flow R. Xu Dongxiao Zhang Miao Rong Nanzhe Wang AI4CE 83 51 0 08 Sep 2020
Deep Learning of Subsurface Flow via Theory-guided Neural Network Nanzhe Wang Dongxiao Zhang Haibin Chang Heng Li AI4CE 116 235 0 24 Oct 2019