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A Framework for Strategic Discovery of Credible Neural Network Surrogate
  Models under Uncertainty

A Framework for Strategic Discovery of Credible Neural Network Surrogate Models under Uncertainty

13 March 2024
Pratyush Kumar Singh
Kathryn A. Farrell-Maupin
D. Faghihi
ArXivPDFHTML

Papers citing "A Framework for Strategic Discovery of Credible Neural Network Surrogate Models under Uncertainty"

4 / 4 papers shown
Title
Accelerated Linearized Laplace Approximation for Bayesian Deep Learning
Accelerated Linearized Laplace Approximation for Bayesian Deep Learning
Zhijie Deng
Feng Zhou
Jun Zhu
BDL
42
19
0
23 Oct 2022
A Probabilistic Graphical Model Foundation for Enabling Predictive
  Digital Twins at Scale
A Probabilistic Graphical Model Foundation for Enabling Predictive Digital Twins at Scale
Michael G. Kapteyn
Jacob V. R. Pretorius
Karen E. Willcox
32
213
0
10 Dec 2020
A Survey on Evolutionary Neural Architecture Search
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
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and
  Inverse PDE Problems with Noisy Data
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data
Liu Yang
Xuhui Meng
George Karniadakis
PINN
170
755
0
13 Mar 2020
1