Transfer learning based multi-fidelity physics informed deep neural
network

Transfer learning based multi-fidelity physics informed deep neural network

19 May 2020

Papers citing "Transfer learning based multi-fidelity physics informed deep neural network"

10 / 60 papers shown

Title
A novel meta-learning initialization method for physics-informed neural networks Xu Liu Xiaoya Zhang Wei Peng Weien Zhou W. Yao AI4CE 30 72 0 23 Jul 2021
Active Learning with Multifidelity Modeling for Efficient Rare Event Simulation Somayajulu L. N. Dhulipala Michael D. Shields B. Spencer C. Bolisetti A. Slaughter V. Labouré P. Chakroborty 32 24 0 25 Jun 2021
Surrogate assisted active subspace and active subspace assisted surrogate -- A new paradigm for high dimensional structural reliability analysis N. N. S. Chakraborty 11 26 0 11 May 2021
Machine learning based digital twin for stochastic nonlinear multi-degree of freedom dynamical system Shailesh Garg Ankush Gogoi S. Chakraborty B. Hazra AI4CE 30 15 0 29 Mar 2021
A transfer learning metamodel using artificial neural networks applied to natural convection flows in enclosures M. Ashouri Alireza Hashemi AI4CE 13 2 0 28 Aug 2020
Uncertainty Quantification of Locally Nonlinear Dynamical Systems using Neural Networks Subhayan De 19 9 0 11 Aug 2020
MFNets: Data efficient all-at-once learning of multifidelity surrogates as directed networks of information sources Alex Gorodetsky J. Jakeman Gianluca Geraci AI4CE 30 24 0 03 Aug 2020
Resource Aware Multifidelity Active Learning for Efficient Optimization Francesco Grassi Giorgio Manganini Michele Garraffa L. Mainini 16 6 0 09 Jul 2020
The role of surrogate models in the development of digital twins of dynamic systems S. Chakraborty S. Adhikari R. Ganguli SyDa 22 103 0 25 Jan 2020
Recursive co-kriging model for Design of Computer experiments with multiple levels of fidelity with an application to hydrodynamic Loic Le Gratiet AI4CE 88 292 0 02 Oct 2012