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Multifidelity Data Fusion via Gradient-Enhanced Gaussian Process
  Regression

Multifidelity Data Fusion via Gradient-Enhanced Gaussian Process Regression

3 August 2020
Yixiang Deng
Guang Lin
Xiu Yang
ArXiv (abs)PDFHTML

Papers citing "Multifidelity Data Fusion via Gradient-Enhanced Gaussian Process Regression"

3 / 3 papers shown
Title
Uncertainty Quantification in Machine Learning for Engineering Design
  and Health Prognostics: A Tutorial
Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial
V. Nemani
Luca Biggio
Xun Huan
Zhen Hu
Olga Fink
Anh Tran
Yan Wang
Xiaoge Zhang
Chao Hu
AI4CE
118
81
0
07 May 2023
Gradient-enhanced physics-informed neural networks for forward and
  inverse PDE problems
Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems
Jeremy Yu
Lu Lu
Xuhui Meng
George Karniadakis
PINNAI4CE
91
475
0
01 Nov 2021
Gradient-enhanced multifidelity neural networks for high-dimensional
  function approximation
Gradient-enhanced multifidelity neural networks for high-dimensional function approximation
J. Nagawkar
Leifur Þ. Leifsson
35
0
0
23 Mar 2021
1