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
Parents
213
Traffic prediction in a bike-sharing system
Yexin Li, Yu Zheng, Huichu Zhang et al. · 2015 · 341 citations
On the formulation of the dynamic mixed subgrid-scale model
Bert Vreman, Bernard J. Geurts · Physics of Fluids · 1994 · 320 citations · Full text
The evolution of imperfect mimicry
Thomas N. Sherratt · Behavioral Ecology · 2002 · 288 citations · Full text
1–5 of 213
635
6
h-index
4
h-index
King Fahd University of Petroleum and Minerals, Saudi Arabia
3 publications · 61 citations
3
h-index
King Fahd University of Petroleum and Minerals, Saudi Arabia
3 publications · 61 citations
3
h-index
3
h-index
1–5 of 635
275

Drexel University
Philadelphia, United States
5 h-index
10 publications
410 citations
Max Planck Institute for Informatics
Saarbrücken, Germany
5 h-index
23 publications
2.4K citations
Carnegie Mellon University
Pittsburgh, United States
5 h-index
7 publications
427 citations
Eindhoven University of Technology
Eindhoven, The Netherlands
4 h-index
8 publications
1.5K citations
University College London
London, United Kingdom
4 h-index
6 publications
477 citations
Google (United States)
Mountain View, United States
4 h-index
4 publications
306 citations
Michigan State University
East Lansing, United States
3 h-index
6 publications
573 citations
Tsinghua University
Beijing, China
3 h-index
5 publications
152 citations
1–8 of 275
Repository · 6 publications · 118 citations
6
h-index
4 publications · 408 citations
4
h-index
2 publications · 36 citations
2
h-index
OB · 2 publications · 297 citations
2
h-index
2 publications · 66 citations
2
h-index
1–5