Concepedia

High-dimensional Uncertainty Quantification

High-Dimensional Uncertainty Quantification is a methodological framework within uncertainty quantification that specifically addresses the challenge of propagating and analyzing uncertainties in systems with a large number of random variables, where the curse of dimensionality renders classical numerical approaches computationally infeasible.

191

Publications

10.8K

Citations

602

Authors

290

Institutions

Publications per year

2017–2026

109

Parents

Publications

191

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

A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing

Christopher J. Roy, William L. Oberkampf · Computer Methods in Applied Mechanics and Engineering · 2011 · 769 citations

, , +14

Confidence Intervals and Hypothesis Testing for High-Dimensional Regression

Adel Javanmard, Andrea Montanari · arXiv (Cornell University) · 2013 · 691 citations · Full text

, , +16

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

Composite Monte Carlo decision making under high uncertainty of novel coronavirus epidemic using hybridized deep learning and fuzzy rule induction

Simon Fong · Institutional Repository of the University of Granada (University of Granada) · 2020 · 233 citations

, , +15

1–5 of 191

Authors

602

  1. GI
    Gianluca Iaccarino

    Stanford University, United States

    5 publications · 164 citations

    5

    h-index

  2. ZZ
    Zheng Zhang

    University of California, Santa Barbara, United States

    5 publications · 270 citations

    5

    h-index

  3. SR
    Sharif Rahman

    University of Iowa, United States

    3 publications · 53 citations

    4

    h-index

  4. PG
    Paul G. Constantine

    Colorado School of Mines, United States

    4 publications · 314 citations

    4

    h-index

  5. AM
    Alexandre M. Tartakovsky

    Pacific Northwest National Laboratory, United States

    3 publications · 109 citations

    4

    h-index

1–5 of 602

Institutions

290

  1. Massachusetts Institute of Technology

    Cambridge, United States

    10 h-index

    23 publications

    1.3K citations

  2. Stanford University

    Stanford, United States

    10 h-index

    15 publications

    1.9K citations

  3. Purdue University West Lafayette

    West Lafayette, United States

    9 h-index

    17 publications

    2.1K citations

  4. Technical University of Munich

    Munich, Germany

    7 h-index

    11 publications

    1.3K citations

  5. Hunan University

    Changsha, China

    5 h-index

    9 publications

    263 citations

  6. Pacific Northwest National Laboratory

    Richland, United States

    5 h-index

    8 publications

    408 citations

  7. Peking University

    Beijing, China

    4 h-index

    5 publications

    270 citations

  8. University of Iowa

    Iowa City, United States

    4 h-index

    6 publications

    181 citations

1–8 of 290

Venues

  1. Journal of Computational Physics

    14 publications · 2.4K citations

    14

    h-index

  2. arXiv (Cornell University)

    Repository · 6 publications · 820 citations

    7

    h-index

  3. 6

    h-index

  4. IEEE Transactions on Power Systems

    4 publications · 325 citations

    5

    h-index

  5. SIAM/ASA Journal on Uncertainty Quantification

    JUQ · 5 publications · 141 citations

    5

    h-index

1–5