Bayesian Surrogate Modeling

Bayesian Surrogate Modeling is a surrogate modeling approach that employs Bayesian inference to quantify uncertainty in the model predictions by treating the unknown function as a random process and updating prior beliefs with observed data to form a posterior distribution over possible models.

100

Publications

4.1K

Citations

307

Authors

149

Institutions

Publications per year

2017–2026

Parents

Surrogate Modeling

Publications

100

Bayesian deep convolutional encoder–decoder networks for surrogate modeling and uncertainty quantification

Yinhao Zhu, Nicholas Zabaras · Journal of Computational Physics · 2018 · 702 citations · Full text

Computing, Computational Engineering, Computer Science +14

An efficient Bayesian inference approach to inverse problems based on an adaptive sparse grid collocation method

Xiang Ma, Nicholas Zabaras · Inverse Problems · 2009 · 158 citations

Computing, Computational Engineering, Earth Sciences +17

A SURVEY OF CONSTRAINED GAUSSIAN PROCESS REGRESSION: APPROACHES AND IMPLEMENTATION CHALLENGES

Journal of Machine Learning for Modeling and Computing · 2020 · 152 citations · Full text

Natural Sciences, Mathematics, Machine Learning +16

An adaptive Gaussian process‐based method for efficient Bayesian experimental design in groundwater contaminant source identification problems

Jiangjiang Zhang, Weixuan Li, Lingzao Zeng et al. · Water Resources Research · 2016 · 143 citations

Computing, Hydrology, Bayesian Data Analysis +16

Bayesian optimization with adaptive surrogate models for automated experimental design

Bowen Lei, Tanner Kirk, Anirban Bhattacharya et al. · npj Computational Materials · 2021 · 121 citations · Full text

Architecture, Materials Engineering, Materials Science +17

1–5 of 100

Authors

307

CH
Cristina H. Amon
Carnegie Mellon University, United States
6 publications · 152 citations
6
h-index
LY
Liang Yan
Southeast University, China
5 publications · 164 citations
5
h-index
SF
Susan Finger
Carnegie Mellon University, United States
5 publications · 116 citations
5
h-index
DA
David A. Romero
University of Toronto, Canada
3 publications · 51 citations
3
h-index
NZ
Nicholas Zabaras
Cornell University, United States
3 publications · 884 citations
3
h-index

1–5 of 307

Institutions

149

1–8 of 149

Venues

Water Resources Research
4 publications · 285 citations
4
h-index
Computer Methods in Applied Mechanics and Engineering
3 publications · 65 citations
4
h-index
Biometrics
4 publications · 152 citations
4
h-index
Geoscientific model development
3 publications · 80 citations
3
h-index
Statistics in Medicine
3 publications · 66 citations
3
h-index

1–5