Seuraa
Curtis Hawthorne
Curtis Hawthorne
Adept
Vahvistettu sähköpostiosoite verkkotunnuksessa adept.ai - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
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
1013*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
5982018
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
5162019
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
3472018
Symbolic Music Generation with Diffusion Models
G Mittal, J Engel, C Hawthorne, I Simon
International Society for Music Information Retrieval, 2021
1772021
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
148*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
1132020
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
1012019
Sequence-to-Sequence Piano Transcription with Transformers
C Hawthorne, I Simon, R Swavely, E Manilow, J Engel
International Society for Music Information Retrieval, 2021
832021
MT3: Multi-Task Multitrack Music Transcription
J Gardner, I Simon, E Manilow, C Hawthorne, J Engel
International Conference on Learning Representations, spotlight presentation, 2022
822022
Continuous diffusion for categorical data
S Dieleman, L Sartran, A Roshannai, N Savinov, Y Ganin, PH Richemond, ...
arXiv preprint arXiv:2211.15089, 2022
752022
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
692018
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
65*2023
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
64*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
632022
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
502022
Playlist generation
B Bilinski, CG Hawthorne, OD Otto
US Patent 9,021,088, 2015
442015
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
382020
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
37*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
242020
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Artikkelit 1–20