Gaussian Processes

Gaussian Processes is a stochastic process in which every finite collection of random variables has a multivariate normal distribution, distinguished by its complete characterization through mean and covariance functions.

8.7K

Publications

540.9K

Citations

14.4K

Authors

3.3K

Institutions

Publications per year

2017–2026

2.4K

Authors

14.4K

  1. CE
    Carl Edward Rasmussen

    University of Cambridge, United Kingdom

    49 publications · 9.3K citations

    36

    h-index

  2. ND
    Neil D. Lawrence

    University of Sheffield, United Kingdom

    50 publications · 7.7K citations

    36

    h-index

  3. ZG
    Zoubin Ghahramani

    University of Cambridge, United Kingdom

    35 publications · 5.6K citations

    26

    h-index

  4. AK
    Andreas Krause

    ETH Zurich, Switzerland

    24 publications · 7.3K citations

    20

    h-index

  5. AV
    Aki Vehtari

    Aalto University, Finland

    25 publications · 1.3K citations

    20

    h-index

1–5 of 14.4K

Venues

  1. The Annals of Probability

    224 publications · 14.6K citations

    63

    h-index

  2. The Annals of Statistics

    144 publications · 16.7K citations

    59

    h-index

  3. IEEE Transactions on Information Theory

    194 publications · 19.8K citations

    59

    h-index

  4. arXiv (Cornell University)

    Repository · 431 publications · 16.4K citations

    59

    h-index

  5. IEEE Transactions on Signal Processing

    169 publications · 10.6K citations

    53

    h-index

1–5