Neural Network Composition
Neural Network Composition is a method in algorithmic composition that employs artificial neural networks to generate musical content by learning patterns and structures from data through hierarchical representations.
148
Publications
12.5K
Citations
513
Authors
235
Institutions
Publications per year
2017–2026
72
Parents
148
Adaptive Mixtures of Local Experts
Robert A. Jacobs, Michael I. Jordan, Steven J. Nowlan et al. · Neural Computation · 1991 · 5K citations
Enhanced LSTM for Natural Language Inference
Qian Chen, Xiaodan Zhu, Zhen-Hua Ling et al. · 2017 · 1.2K citations · Full text
Composition-Preserving Deep Photo Aesthetics Assessment
Long Mai, Hailin Jin, Feng Liu · 2016 · 287 citations
Radoslav Ivanov, James Weimer, Rajeev Alur et al. · 2019 · 219 citations
A First Look at Music Composition using LSTM Recurrent Neural Networks.
Douglas Eck, Juergen Schmidhuber · 2002 · 204 citations · Full text
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235
Massachusetts Institute of Technology
Cambridge, United States
4 h-index
12 publications
10.4K citations
Stanford University
Stanford, United States
4 h-index
12 publications
409 citations

University of Toronto
Toronto, Canada
3 h-index
11 publications
10.3K citations

Delft University of Technology
Delft, The Netherlands
3 h-index
6 publications
136 citations
Adobe Systems (United States)
San Jose, United States
3 h-index
3 publications
356 citations

Kyoto University
Kyoto, Japan
3 h-index
8 publications
230 citations

Imperial College London
London, United Kingdom
3 h-index
8 publications
511 citations
University of Cambridge
Cambridge, United Kingdom
3 h-index
3 publications
115 citations
1–8 of 235
Repository · 18 publications · 560 citations
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2 publications · 65 citations
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2 publications · 42 citations
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2 publications · 102 citations
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2 publications · 32 citations
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