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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
546*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
3832018
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
2982019
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
2422018
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
582019
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
532018
Encoding musical style with transformer autoencoders
K Choi, C Hawthorne, I Simon, M Dinculescu, J Engel
International Conference on Machine Learning, 1899-1908, 2020
482020
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
372019
Playlist generation
B Bilinski, CG Hawthorne, OD Otto
US Patent 9,021,088, 2015
352015
Symbolic Music Generation with Diffusion Models
G Mittal, J Engel, C Hawthorne, I Simon
International Society for Music Information Retrieval, 2021
342021
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
30*2018
Sequence-to-Sequence Piano Transcription with Transformers
C Hawthorne, I Simon, R Swavely, E Manilow, J Engel
International Society for Music Information Retrieval, 2021
222021
Scaling Up Models and Data with and
A Roberts, HW Chung, A Levskaya, G Mishra, J Bradbury, D Andor, ...
arXiv preprint arXiv:2203.17189, 2022
19*2022
Improving Perceptual Quality of Drum Transcription with the Expanded Groove MIDI Dataset
L Callender, C Hawthorne, J Engel
arXiv preprint arXiv:2004.00188, 2020
142020
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
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
132020
MT3: Multi-Task Multitrack Music Transcription
J Gardner, I Simon, E Manilow, C Hawthorne, J Engel
International Conference on Learning Representations, spotlight presentation, 2022
122022
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
12*2018
Transformer-NADE for Piano Performances
C Hawthorne, A Huang, D Ippolito, D Eck
NeurIPS Machine Learning for Creativity and Design Workshop, 2018
122018
General-purpose, long-context autoregressive modeling with Perceiver AR
C Hawthorne, A Jaegle, C Cangea, S Borgeaud, C Nash, M Malinowski, ...
International Conference on Machine Learning, spotlight presentation, 2022
82022
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