Transfer Learning on Multi-Fidelity Data

29 April 2021

Papers citing "Transfer Learning on Multi-Fidelity Data"

11 / 11 papers shown

Title
Transfer Learning on Multi-Dimensional Data: A Novel Approach to Neural Network-Based Surrogate Modeling Adrienne M. Propp Daniel M. Tartakovsky AI4CE 26 2 0 16 Oct 2024
Multi-fidelity Fourier Neural Operator for Fast Modeling of Large-Scale Geological Carbon Storage Hewei Tang Qingkai Kong Joseph P. Morris AI4CE 27 10 0 17 Aug 2023
Differentiable Multi-Fidelity Fusion: Efficient Learning of Physics Simulations with Neural Architecture Search and Transfer Learning Yuwen Deng Wang Kang Wei W. Xing OOD AI4CE 26 0 0 12 Jun 2023
Multi-fidelity prediction of fluid flow and temperature field based on transfer learning using Fourier Neural Operator Yanfang Lyu Xiaoyu Zhao Zhiqiang Gong Xiao Kang W. Yao AI4CE 27 24 0 14 Apr 2023
Feature-adjacent multi-fidelity physics-informed machine learning for partial differential equations Wenqian Chen P. Stinis OOD AI4CE 27 7 0 21 Mar 2023
Multi-fidelity surrogate modeling for temperature field prediction using deep convolution neural network Yunyang Zhang Zhiqiang Gong Weien Zhou Xiaoyu Zhao Xiaohu Zheng W. Yao AI4CE 15 24 0 17 Jan 2023
Multi-fidelity wavelet neural operator with application to uncertainty quantification A. Thakur Tapas Tripura S. Chakraborty 30 12 0 11 Aug 2022
Multi-fidelity surrogate modeling using long short-term memory networks Paolo Conti Mengwu Guo Andrea Manzoni J. Hesthaven AI4CE 33 48 0 05 Aug 2022
Use of Multifidelity Training Data and Transfer Learning for Efficient Construction of Subsurface Flow Surrogate Models Su Jiang L. Durlofsky AI4CE 22 29 0 23 Apr 2022
Multifidelity Deep Operator Networks For Data-Driven and Physics-Informed Problems Amanda A. Howard M. Perego G. Karniadakis P. Stinis AI4CE 36 53 0 19 Apr 2022
Deep Learning for Simultaneous Inference of Hydraulic and Transport Properties Zitong Zhou N. Zabaras D. Tartakovsky 21 16 0 24 Oct 2021