| 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 | 1092* | 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 | 641 | 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 | 562 | 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 | 368 | 2018 |
| Symbolic Music Generation with Diffusion Models G Mittal, J Engel, C Hawthorne, I Simon International Society for Music Information Retrieval, 2021 | 202 | 2021 |
| Scaling Up Models and Data with and A Roberts, HW Chung, A Levskaya, G Mishra, J Bradbury, D Andor, ... Journal of Machine Learning Research, 2023 | 163* | 2023 |
| Encoding musical style with transformer autoencoders K Choi, C Hawthorne, I Simon, M Dinculescu, J Engel International Conference on Machine Learning, 1899-1908, 2020 | 121 | 2020 |
| 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 | 105 | 2019 |
| 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 | 99* | 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 | 97 | 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 | 93 | 2021 |
| Continuous diffusion for categorical data S Dieleman, L Sartran, A Roshannai, N Savinov, Y Ganin, PH Richemond, ... arXiv preprint arXiv:2211.15089, 2022 | 85 | 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 | 68* | 2019 |
| 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 | 66 | 2022 |
| 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 | 61 | 2022 |
| Playlist generation B Bilinski, CG Hawthorne, OD Otto US Patent 9,021,088, 2015 | 46 | 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 | 39 | 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 | 38* | 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 | 25 | 2020 |
Jesse H. EngelGoogle DeepMindVerified email at google.com
