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NP-ODE: Neural Process Aided Ordinary Differential Equations for
  Uncertainty Quantification of Finite Element Analysis

NP-ODE: Neural Process Aided Ordinary Differential Equations for Uncertainty Quantification of Finite Element Analysis

12 December 2020
Yinan Wang
Kaiwen Wang
W. Cai
Xiaowei Yue
ArXivPDFHTML

Papers citing "NP-ODE: Neural Process Aided Ordinary Differential Equations for Uncertainty Quantification of Finite Element Analysis"

2 / 2 papers shown
Title
The Neural Process Family: Survey, Applications and Perspectives
The Neural Process Family: Survey, Applications and Perspectives
Saurav Jha
Dong Gong
Xuesong Wang
Richard Turner
L. Yao
BDL
78
24
0
01 Sep 2022
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,145
0
06 Jun 2015
1