Physics-Informed Neural State Space Models via Learning and Evolution

26 November 2020

Papers citing "Physics-Informed Neural State Space Models via Learning and Evolution"

8 / 8 papers shown

Title
Combining Federated Learning and Control: A Survey Jakob Weber Markus Gurtner A. Lobe Adrian Trachte Andreas Kugi FedML AI4CE 26 2 0 12 Jul 2024
Meta-Learning of Neural State-Space Models Using Data From Similar Systems Ankush Chakrabarty G. Wichern C. Laughman 24 12 0 14 Nov 2022
Auto-PINN: Understanding and Optimizing Physics-Informed Neural Architecture Yicheng Wang Xiaotian Han Chia-Yuan Chang Daochen Zha U. Braga-Neto Xia Hu PINN AI4CE 20 23 0 27 May 2022
A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic Barbara Z Cunha C. Droz A. Zine Stéphane Foulard M. Ichchou AI4CE 21 84 0 13 Apr 2022
When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning Chuizheng Meng Sungyong Seo Defu Cao Sam Griesemer Yan Liu PINN AI4CE 34 54 0 31 Mar 2022
Neural Ordinary Differential Equations for Nonlinear System Identification Aowabin Rahman Ján Drgoňa Aaron Tuor J. Strube 25 21 0 28 Feb 2022
Constructing Neural Network-Based Models for Simulating Dynamical Systems Christian Møldrup Legaard Thomas Schranz G. Schweiger Ján Drgovna Basak Falay C. Gomes Alexandros Iosifidis M. Abkar P. Larsen PINN AI4CE 20 91 0 02 Nov 2021
A Survey on Evolutionary Neural Architecture Search Yuqiao Liu Y. Sun Bing Xue Mengjie Zhang Gary G. Yen Kay Chen Tan 112 403 0 25 Aug 2020