Concepedia

Multi-fidelity Training

Multi-Fidelity Training is a machine learning framework that integrates data or models from multiple sources of varying fidelity—such as simulations with differing levels of realism or computational cost—to improve the efficiency and effectiveness of learning by leveraging low-fidelity approximations while anchoring performance in high-fidelity domains.

49

Publications

2.5K

Citations

179

Authors

89

Institutions

Publications per year

2017–2026

41

Parents

Publications

49

Multi-fidelity machine learning models for accurate bandgap predictions of solids

Ghanshyam Pilania, J. E. Gubernatis, Turab Lookman · Computational Materials Science · 2016 · 319 citations · Full text

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Transfer learning based multi-fidelity physics informed deep neural network

Souvik Chakraborty · Journal of Computational Physics · 2020 · 227 citations · Full text

, , +11

Auto-Pytorch: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL

Lucas Zimmer, Marius Lindauer, Frank Hutter · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2021 · 191 citations

, , +16

Multi-Fidelity Physics-Constrained Neural Network and Its Application in Materials Modeling

Dehao Liu, Yan Wang · Journal of Mechanical Design · 2019 · 178 citations

, , +16

Transfer learning with graph neural networks for improved molecular property prediction in the multi-fidelity setting

David Buterez, Jon Paul Janet, Steven J. Kiddle et al. · Nature Communications · 2024 · 110 citations · Full text

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1–5 of 49

Authors

179

  1. PI
    Peter I. Frazier

    Cornell University, United States

    3 publications · 102 citations

    3

    h-index

  2. SP
    Suraj Pawar

    Oklahoma State University, United States

    3 publications · 106 citations

    3

    h-index

  3. MR
    Matthew Reynolds

    National Laboratory of the Rockies, United States

    2 publications · 78 citations

    2

    h-index

  4. DL
    Dehao Liu

    Georgia Institute of Technology, United States

    2 publications · 218 citations

    2

    h-index

  5. YG
    Yi Gao

    Arizona State University, United States

    2 publications · 68 citations

    2

    h-index

1–5 of 179

Institutions

89

  1. Georgia Institute of Technology

    Atlanta, United States

    4 h-index

    11 publications

    1.1K citations

  2. University of Cambridge

    Cambridge, United Kingdom

    3 h-index

    4 publications

    275 citations

  3. Oklahoma State University

    Stillwater, United States

    3 h-index

    5 publications

    181 citations

  4. Cornell University

    Ithaca, United States

    3 h-index

    8 publications

    290 citations

  5. National Laboratory of the Rockies

    Golden, United States

    3 h-index

    7 publications

    223 citations

  6. Universität Hamburg

    Hamburg, Germany

    2 h-index

    2 publications

    87 citations

  7. Imperial College London

    London, United Kingdom

    2 h-index

    7 publications

    186 citations

  8. University of Colorado Boulder

    Boulder, United States

    2 h-index

    8 publications

    312 citations

1–8 of 89

Venues

  1. arXiv (Cornell University)

    Repository · 6 publications · 235 citations

    6

    h-index

  2. 4

    h-index

  3. Computational Materials Science

    3 publications · 462 citations

    3

    h-index

  4. Renewable Energy

    2 publications · 53 citations

    2

    h-index

  5. Journal of Computational Physics

    2 publications · 258 citations

    2

    h-index

1–5