Concepedia

Surrogate Model Uncertainty Quantification

Surrogate Model Uncertainty Quantification is a methodological framework within surrogate-assisted optimization that characterizes the uncertainty associated with predictions of a surrogate model by quantifying the discrepancy between the model's estimated outputs and the true underlying objective function values, thereby enabling informed decision-making under uncertainty.

84

Publications

5.5K

Citations

268

Authors

114

Institutions

Publications per year

2017–2026

58

Parents

Publications

84

Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data

Yinhao Zhu, Nicholas Zabaras, Phaedon‐Stelios Koutsourelakis et al. · Journal of Computational Physics · 2019 · 1K citations · Full text

, , +16

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

, , +14

Deep UQ: Learning deep neural network surrogate models for high dimensional uncertainty quantification

Rohit Tripathy, Ilias Bilionis · Journal of Computational Physics · 2018 · 473 citations · Full text

, , +13

MISSing the World. Models as Isolations and Credible Surrogate Systems

Uskali Mäki · Erkenntnis · 2009 · 270 citations · Full text

, , +9

Recent Advances in Surrogate Modeling Methods for Uncertainty Quantification and Propagation

Chong Wang, Xin Qiang, Menghui Xu et al. · Symmetry · 2022 · 123 citations · Full text

, , +14

1–5 of 84

Authors

268

  1. NZ
    Nicholas Zabaras

    Cornell University, United States

    3 publications · 1.8K citations

    3

    h-index

  2. ZW
    Zequn Wang

    Shaanxi University of Science and Technology, China

    2 publications · 150 citations

    2

    h-index

  3. RT
    Riccardo Trinchero

    Politecnico di Torino, Italy

    2 publications · 130 citations

    2

    h-index

  4. MB
    Michael Beer

    University of Liverpool, United Kingdom

    2 publications · 37 citations

    2

    h-index

  5. IB
    Ilias Bilionis

    Purdue University West Lafayette, United States

    2 publications · 497 citations

    2

    h-index

1–5 of 268

Institutions

114

  1. Technical University of Munich

    Munich, Germany

    4 h-index

    8 publications

    1.2K citations

  2. Georgia Institute of Technology

    Atlanta, United States

    4 h-index

    6 publications

    393 citations

  3. University of Michigan

    Ann Arbor, United States

    3 h-index

    3 publications

    48 citations

  4. Northwestern Polytechnical University

    Xi'an, China

    3 h-index

    13 publications

    448 citations

  5. Mississippi State University

    Starkville, United States

    3 h-index

    6 publications

    156 citations

  6. University of Liverpool

    Liverpool, United Kingdom

    3 h-index

    4 publications

    243 citations

  7. University of Notre Dame

    Notre Dame, United States

    3 h-index

    6 publications

    3.5K citations

  8. Tohoku University

    Sendai, Japan

    2 h-index

    2 publications

    49 citations

1–8 of 114

Venues

  1. Structural and Multidisciplinary Optimization

    4 publications · 120 citations

    4

    h-index

  2. arXiv (Cornell University)

    Repository · 4 publications · 49 citations

    4

    h-index

  3. IEEE Access

    3 publications · 146 citations

    3

    h-index

  4. Journal of Computational Physics

    3 publications · 2.2K citations

    3

    h-index

  5. Reliability Engineering & System Safety

    3 publications · 200 citations

    3

    h-index

1–5