Gradient Noise

Gradient Noise is a stochastic perturbation inherent in the estimated gradient during gradient-based optimization, arising from the use of noisy or approximate gradient calculations, which distinguishes it from deterministic gradient errors by its random nature and typically zero-mean distribution.

149

Publications

7.9K

Citations

460

Authors

185

Institutions

Publications per year

2017–2026

94

Authors

460

  1. AH
    Ali H. Sayed

    University of California, Los Angeles, United States

    7 publications · 818 citations

    7

    h-index

  2. MG
    Mert Gürbüzbalaban

    Rutgers Sexual and Reproductive Health and Rights, Netherlands

    6 publications · 188 citations

    6

    h-index

  3. SV
    Stefan Vlaski

    École Polytechnique Fédérale de Lausanne, Switzerland

    6 publications · 125 citations

    6

    h-index

  4. JN
    Jorge Nocedal

    Northwestern University, United States

    5 publications · 1.2K citations

    5

    h-index

  5. UŞ
    Umut Şimşekli

    Laboratoire Traitement et Communication de l’Information, France

    5 publications · 177 citations

    5

    h-index

1–5 of 460

Venues

  1. arXiv (Cornell University)

    Repository · 41 publications · 2.4K citations

    24

    h-index

  2. Magnetic Resonance in Medicine

    MRM · 6 publications · 481 citations

    6

    h-index

  3. IEEE Transactions on Signal Processing

    6 publications · 1K citations

    6

    h-index

  4. SIAM Journal on Optimization

    5 publications · 542 citations

    5

    h-index

  5. 4

    h-index

1–5