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Most existing neural network models for music generation use recurrent neural networks.
Experimental Music: Composition with an Electronic Computer
Lejaren Hiller and Leonard M. Isaacson · 1959
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Reinforcement learning: An introduction
Richard S Sutton and Andrew G Barto · 1998
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AI methods for algorithmic composition: A survey, a critical view and future prospects
George Papadopoulos and Geraint Wiggins · 1999
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Finding temporal structure in music: Blues improvisation with LSTM recurrent networks
Douglas Eck and Juergen Schmidhuber · 2002
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Yi-Hsuan Yang and Homer H. Chen · 2011
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Nicolas Boulanger-Lewandowski, Yoshua Bengio, and Pascal Vincent · 2012
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Generating sequences with recurrent neural networks
Alex Graves · 2013
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Conditional generative adversarial nets for convolutional face generation
Jon Gauthier · 2014
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Generative adversarial nets
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Conditional generative adversarial nets
Mehdi Mirza and Simon Osindero · 2014
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Unsupervised representation learning with deep convolutional generative adversarial networks
Alec Radford, Luke Metz, and Soumith Chintala · 2015
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A unit selection methodology for music generation using deep neural networks
Mason Bretan, Gil Weinberg, and Larry Heck · 2016
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InfoGAN: Interpretable representation learning by information maximizing generative adversarial nets
Xi Chen, Yan Duan, Rein Houthooft, John Schulman, Ilya Sutskever, and Pieter Abbeel · 2016
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Keunwoo Choi, George Fazekas, Mark B. Sandler, and Kyunghyun Cho · 2016
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Song from PI: A musically plausible network for pop music generation
Hang Chu, Raquel Urtasun, and Sanja Fidler · 2016
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Scott Reed, Zeynep Akata, Xinchen Yan, Lajanugen Logeswaran, Bernt Schiele, and Honglak Lee · 2016
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Interactive musical improvisation with Magenta
Adam Roberts, Jesse Engel, Curtis Hawthorne, Ian Simon, Elliot Waite, Sageev Oore, Natasha Jaques, Cinjon Resnick, and Douglas Eck · 2016
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Improved techniques for training GANs
Tim Salimans, Ian J. Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, and Xi Chen · 2016
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Composing music with grammar argumented neural networks and note-level encoding
Zheng Sun, Jiaqi Liu, Zewang Zhang, Jingwen Chen, Zhao Huo, Ching Hua Lee, and Xiao Zhang · 2016
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WaveNet: A generative model for raw audio
Aäron van den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew Senior, and Koray Kavukcuoglu · 2016
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Gaëtan Hadjeres and François Pachet · 2016
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Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros · 2016
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Natasha Jaques, Shixiang Gu, Richard E. Turner, and Douglas Eck · 2016
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SampleRNN: An unconditional end-to-end neural audio generation model
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Conditional image generation with pixelCNN decoders
Aäron van den Oord, Nal Kalchbrenner, Lasse Espeholt, Oriol Vinyals, Alex Graves, et al · 2016
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Project Magenta: Generating long-term structure in songs and stories, 2016
Elliot Waite, Douglas Eck, Adam Roberts, and Dan Abolafia · 2016
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Martin Arjovsky, Soumith Chintala, and Léon Bottou · 2017
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Neural audio synthesis of musical notes with WaveNet autoencoders
Jesse Engel, Cinjon Resnick, Adam Roberts, Sander Dieleman, Douglas Eck, Karen Simonyan, and Mohammad Norouzi · 2017
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NIPS 2016 tutorial: Generative adversarial networks
Ian J. Goodfellow · 2017
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