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
659 2018 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
596 2019 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
386 2018 Symbolic Music Generation with Diffusion Models G Mittal, J Engel, C Hawthorne, I Simon
International Society for Music Information Retrieval, 2021
211 2021 Scaling Up Models and Data with A Roberts, HW Chung, A Levskaya, G Mishra, J Bradbury, D Andor, ...
Journal of Machine Learning Research, 2023
170 * 2023 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
164 * 2019 Encoding musical style with transformer autoencoders K Choi, C Hawthorne, I Simon, M Dinculescu, J Engel
International Conference on Machine Learning, 1899-1908, 2020
125 2020 Fuyu-8B: A Multimodal Architecture for AI Agents R Bavishi, E Elsen, C Hawthorne, M Nye, A Odena, A Somani, S Tasırlar
https://www.adept.ai/blog/fuyu-8b, 2023
120 * 2023 MT3: Multi-Task Multitrack Music Transcription J Gardner, I Simon, E Manilow, C Hawthorne, J Engel
International Conference on Learning Representations, spotlight presentation, 2022
114 2022 Sequence-to-Sequence Piano Transcription with Transformers C Hawthorne, I Simon, R Swavely, E Manilow, J Engel
International Society for Music Information Retrieval, 2021
107 2021 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
107 2019 Continuous diffusion for categorical data S Dieleman, L Sartran, A Roshannai, N Savinov, Y Ganin, PH Richemond, ...
arXiv preprint arXiv:2211.15089, 2022
100 2022 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
75 2022 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
72 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
71 * 2019 Multi-instrument Music Synthesis with Spectrogram Diffusion C Hawthorne, I Simon, A Roberts, N Zeghidour, J Gardner, E Manilow, ...
International Society for Music Information Retrieval, 2022
66 2022 Playlist generation B Bilinski, CG Hawthorne, OD Otto
US Patent 9,021,088, 2015
49 2015 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
40 2020 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
39 * 2018 Improving Perceptual Quality of Drum Transcription with the Expanded Groove MIDI Dataset L Callender, C Hawthorne, J Engel
arXiv preprint arXiv:2004.00188, 2020
29 2020 
Jesse H. EngelGoogle DeepMindEmail confirmado em google.com