Generative Templates is a methodological framework in parameterized design that enables the systematic creation of design solutions through the instantiation of parametric rules and constraints, distinguished by its capacity to generate diverse, context-sensitive outcomes from a unified template structure.
7
Publications
320
Citations
22
Authors
11
Institutions
Publications per year
2017–2026
4
Parents
Publications
7
Learning Neural Templates for Text Generation
Sam Wiseman, Stuart M. Shieber, Alexander M. Rush · 2018 · 197 citations · Full text
Jonathan G. Silin · Contemporary Issues in Early Childhood · 2013 · 15 citations · Full text
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Authors
22
- SM
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- NP
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- KC
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- SM
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- SY
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1–5 of 22
Institutions
11
Huazhong University of Science and Technology
Wuhan, China
1 h-index
3 publications
108 citations
Yonsei University
Seoul, South Korea
1 h-index
3 publications
51 citations
University of Toronto
Toronto, Canada
1 h-index
1 publications
15 citations
National University of Singapore
Singapore, Singapore
1 h-index
1 publications
36 citations
University of Guelph
Guelph, Canada
1 h-index
1 publications
27 citations
Sun Yat-sen University
Guangzhou, China
1 h-index
1 publications
36 citations
University of Kentucky
Lexington, United States
1 h-index
3 publications
81 citations
Northwestern Polytechnical University
Xi'an, China
1 h-index
4 publications
108 citations
1–8 of 11
Venues
- arXiv (Cornell University)
Repository · 1 publications · 15 citations
1
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- IEEE Transactions on Circuits and Systems for Video Technology
1 publications · 36 citations
1
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- Contemporary Issues in Early Childhood
CIEC · 1 publications · 15 citations
1
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- Pattern Recognition
1 publications · 17 citations
1
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- IEEE Transactions on Multimedia
1 publications · 27 citations
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