Concepedia

Uncertainty-aware Explanations

Uncertainty-Aware Explanations is an explanatory framework in explainable machine learning that systematically integrates quantified uncertainty estimates into the interpretation of model predictions to enhance their reliability and contextual validity.

36

Publications

2.2K

Citations

114

Authors

57

Institutions

Publications per year

2017–2026

33

Parents

Publications

36

Interpretable and Explainable Machine Learning for Materials Science and Chemistry

Felipe Oviedo, Juan Lavista Ferres, Tonio Buonassisi et al. · Accounts of Materials Research · 2022 · 325 citations · Full text

, , +13

Are Explanations Helpful? A Comparative Study of the Effects of Explanations in AI-Assisted Decision-Making

Xinru Wang, Ming Yin · 2021 · 293 citations · Full text

, , +13

From Machine Learning to Explainable AI

Andreas Holzinger · 2018 · 285 citations · Full text

, , +16

Reconciling intuitive physics and Newtonian mechanics for colliding objects.

Adam N. Sanborn, Vikash K. Mansinghka, Thomas L. Griffiths · Psychological Review · 2013 · 206 citations

, , +17

What large language models know and what people think they know

Mark Steyvers, Heliodoro Tejeda, Aakriti Kumar et al. · Nature Machine Intelligence · 2025 · 129 citations · Full text

, , +16

1–5 of 36

Authors

114

  1. MY
    Ming Yin

    Purdue University West Lafayette, United States

    2 publications · 358 citations

    2

    h-index

  2. MS
    Mark Steyvers

    University of California, Irvine, United States

    1 publications · 129 citations

    1

    h-index

  3. FO
    Felipe Oviedo

    Massachusetts Institute of Technology, United States

    1 publications · 325 citations

    1

    h-index

  4. SK
    Subbarao Kambhampati

    Arizona State University, United States

    1 publications · 39 citations

    1

    h-index

  5. XW
    Xinru Wang

    Purdue University West Lafayette, United States

    1 publications · 65 citations

    1

    h-index

1–5 of 114

Institutions

57

  1. Purdue University West Lafayette

    West Lafayette, United States

    2 h-index

    4 publications

    716 citations

  2. Massachusetts Institute of Technology

    Cambridge, United States

    2 h-index

    3 publications

    856 citations

  3. Arizona State University

    Tempe, United States

    2 h-index

    5 publications

    195 citations

  4. Rutherford Appleton Laboratory

    Didcot, United Kingdom

    1 h-index

    1 publications

    325 citations

  5. University of California, Irvine

    Irvine, United States

    1 h-index

    8 publications

    1K citations

  6. Ghent University

    Ghent, Belgium

    1 h-index

    2 publications

    66 citations

  7. Applied StemCell (United States)

    Milpitas, United States

    1 h-index

    1 publications

    39 citations

  8. University of Oxford

    Oxford, United Kingdom

    1 h-index

    1 publications

    19 citations

1–8 of 57

Venues

  1. arXiv (Cornell University)

    Repository · 6 publications · 167 citations

    6

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 15 citations

    1

    h-index

  3. Psychological Review

    1 publications · 206 citations

    1

    h-index

  4. Nature Machine Intelligence

    1 publications · 129 citations

    1

    h-index

  5. 1

    h-index

1–5