Activation Vectors
Activation Vectors is a computational framework that identifies and quantifies directional influences within neural network activations to enable targeted model behavior modification during appliance activation processes.
57
Publications
6.2K
Citations
219
Authors
88
Institutions
Publications per year
2017–2026
31
Parents
57
Activation Tagging in Arabidopsis
Detlef Weigel, Ji Hoon Ahn, Miguel Á. Blázquez et al. · PLANT PHYSIOLOGY · 2000 · 969 citations · Full text
Generation of a flanking sequence‐tag database for activation‐tagging lines in japonica rice
Dong‐Hoon Jeong, Suyoung An, Sunhee Park et al. · The Plant Journal · 2005 · 336 citations · Full text
1–5 of 57
219
3
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 219
88
Carnegie Mellon University
Pittsburgh, United States
4 h-index
8 publications
516 citations
Google (United States)
Mountain View, United States
4 h-index
22 publications
4.8K citations
University College Dublin
Dublin, Ireland
2 h-index
5 publications
260 citations
Northwestern University
Evanston, United States
2 h-index
5 publications
123 citations

Imperial College London
London, United Kingdom
2 h-index
2 publications
105 citations

Radboud University Nijmegen
Nijmegen, The Netherlands
2 h-index
3 publications
176 citations
Vellore Institute of Technology University
Vellore, India
2 h-index
6 publications
162 citations

Ghent University
Ghent, Belgium
2 h-index
6 publications
1.3K citations
1–8 of 88
Repository · 7 publications · 1.4K citations
7
h-index
3 publications · 287 citations
3
h-index
3 publications · 152 citations
3
h-index
2 publications · 195 citations
2
h-index
PPR · 2 publications · 21 citations
2
h-index
1–5