Model Similarity

Model Similarity is a metric that quantifies the degree of structural or functional correspondence between two machine learning models based on shared parameters, architectures, or behavioral outputs.

213

Publications

11.9K

Citations

635

Authors

275

Institutions

Publications per year

2017–2026

76

Authors

635

  1. CT
    Christian Theobalt

    Max Planck Institute for Informatics, Germany

    6 publications · 558 citations

    6

    h-index

  2. RD
    Remco Dijkman

    Eindhoven University of Technology, Netherlands

    4 publications · 815 citations

    4

    h-index

  3. MA
    Mojeeb Al-Rhman Al-Khiaty

    King Fahd University of Petroleum and Minerals, Saudi Arabia

    3 publications · 61 citations

    3

    h-index

  4. MA
    Moataz Ahmed

    King Fahd University of Petroleum and Minerals, Saudi Arabia

    3 publications · 61 citations

    3

    h-index

  5. MZ
    Michael Zollhöfer

    Max Planck Institute for Informatics, Germany

    3 publications · 138 citations

    3

    h-index

1–5 of 635

Venues

  1. arXiv (Cornell University)

    Repository · 6 publications · 118 citations

    6

    h-index

  2. Physics of Fluids

    4 publications · 408 citations

    4

    h-index

  3. PLoS ONE

    2 publications · 36 citations

    2

    h-index

  4. Journal of Organizational Behavior

    OB · 2 publications · 297 citations

    2

    h-index

  5. BMC Bioinformatics

    2 publications · 66 citations

    2

    h-index

1–5