Aleatoric Uncertainty

Aleatoric Uncertainty is a type of uncertainty that arises from inherent randomness or stochastic variability in a system or measurement process, distinguishable from epistemic uncertainty by its irreducible nature regardless of the amount of observed data.

125

Publications

11.1K

Citations

425

Authors

173

Institutions

Publications per year

2017–2026

107

Authors

425

  1. YG
    Yarin Gal

    University of Oxford, United Kingdom

    4 publications · 3.1K citations

    4

    h-index

  2. NT
    Nataša Tagasovska

    University of Lausanne, Switzerland

    2 publications · 99 citations

    2

    h-index

  3. FM
    Francesco Montomoli

    Imperial College London, United Kingdom

    2 publications · 76 citations

    2

    h-index

  4. LR
    Lars Rosenbaum

    University of Tübingen, Germany

    2 publications · 293 citations

    2

    h-index

  5. DS
    Daniel Saromo

    Pontificia Universidad Católica del Perú, Peru

    2 publications · 80 citations

    2

    h-index

1–5 of 425

Venues

  1. arXiv (Cornell University)

    Repository · 23 publications · 3.7K citations

    16

    h-index

  2. Reliability Engineering & System Safety

    5 publications · 323 citations

    5

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 5 publications · 169 citations

    4

    h-index

  4. 3

    h-index

  5. 2

    h-index

1–5