Curtis Hawthorne
Curtis Hawthorne
Google Brain Team
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Music Transformer: Generating Music with Long-Term Structure
CZA Huang, A Vaswani, J Uszkoreit, I Simon, C Hawthorne, N Shazeer, ...
International Conference on Learning Representations, 2019
315*2019
A hierarchical latent vector model for learning long-term structure in music
A Roberts, J Engel, C Raffel, C Hawthorne, D Eck
International Conference on Machine Learning, 4364-4373, 2018
2672018
Onsets and Frames: Dual-Objective Piano Transcription
C Hawthorne, E Elsen, J Song, A Roberts, I Simon, C Raffel, J Engel, ...
International Society for Music Information Retrieval, 2018
1782018
Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset
C Hawthorne, A Stasyuk, A Roberts, I Simon, CZA Huang, S Dieleman, ...
International Conference on Learning Representations, oral presentation, 2019
1752019
The Bach Doodle: Approachable music composition with machine learning at scale
CZA Huang, C Hawthorne, A Roberts, M Dinculescu, J Wexler, L Hong, ...
International Society for Music Information Retrieval, 2019
38*2019
Learning a Latent Space of Multitrack Measures
I Simon, A Roberts, C Raffel, J Engel, C Hawthorne, D Eck
NeurIPS Machine Learning for Creativity and Design Workshop, 2018
332018
Encoding musical style with transformer autoencoders
K Choi, C Hawthorne, I Simon, M Dinculescu, J Engel
International Conference on Machine Learning, 1899-1908, 2020
252020
Magenta.js: A JavaScript API for Augmenting Creativity with Deep Learning
A Roberts, C Hawthorne, I Simon
International Conference on Machine Learning, Joint Workshop on Machine …, 2018
23*2018
Magenta Studio: Augmenting Creativity with Deep Learning in Ableton Live
A Roberts, J Engel, Y Mann, J Gillick, C Kayacik, S Nørly, M Dinculescu, ...
International Workshop on Musical Metacreation, 2019
20*2019
Playlist generation
B Bilinski, CG Hawthorne, OD Otto
US Patent 9,021,088, 2015
202015
Interactive musical improvisation with Magenta
A Roberts, J Engel, C Hawthorne, I Simon, E Waite, S Oore, N Jaques, ...
Neural Information Processing Systems, Demo, 2016
142016
Improving Perceptual Quality of Drum Transcription with the Expanded Groove MIDI Dataset
L Callender, C Hawthorne, J Engel
arXiv preprint arXiv:2004.00188, 2020
82020
Transformer-NADE for Piano Performances
C Hawthorne, A Huang, D Ippolito, D Eck
NeurIPS Machine Learning for Creativity and Design Workshop, 2018
82018
Symbolic Music Generation with Diffusion Models
G Mittal, J Engel, C Hawthorne, I Simon
International Society for Music Information Retrieval, 2021
72021
MusicVAE: Creating a palette for musical scores with machine learning
A Roberts, J Engel, C Raffel, I Simon, C Hawthorne
https://magenta.tensorflow.org/music-vae, 2018
5*2018
Generating Structured Music through Self-Attention
A Huang, A Vaswani, J Uszkoreit, N Shazeer, A Dai, M Hoffman, ...
International Conference on Machine Learning, Joint Workshop on Machine …, 2018
52018
Infilling Piano Performances
D Ippolito, A Huang, C Hawthorne, D Eck
NeurIPS Machine Learning for Creativity and Design Workshop, 2018
52018
Self-supervised Pitch Detection by Inverse Audio Synthesis
J Engel, R Swavely, LH Hantrakul, A Roberts, C Hawthorne
International Conference on Machine Learning, Self-supervision in Audio and …, 2020
32020
Coconet: the ML model behind today’s Bach Doodle
CZA Huang, T Cooijmans, M Dinculescu, ARC Hawthorne
https://magenta.tensorflow.org/coconet, 2019
22019
Landing Page for Presenting Media Items
B Bilinski, CP Master, CG Hawthorne
US Patent App. 14/059,550, 2013
22013
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Articles 1–20