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2020 – today
- 2022
[c13]Ethan Manilow, Curtis Hawthorne, Cheng-Zhi Anna Huang, Bryan Pardo, Jesse H. Engel:
Improving Source Separation by Explicitly Modeling Dependencies between Sources. ICASSP 2022: 291-295- [c12]Josh Gardner, Ian Simon, Ethan Manilow, Curtis Hawthorne, Jesse H. Engel:
MT3: Multi-Task Multitrack Music Transcription. ICLR 2022 - [c11]Curtis Hawthorne, Andrew Jaegle, Catalina Cangea, Sebastian Borgeaud, Charlie Nash, Mateusz Malinowski, Sander Dieleman, Oriol Vinyals, Matthew M. Botvinick, Ian Simon, Hannah Sheahan, Neil Zeghidour, Jean-Baptiste Alayrac, João Carreira, Jesse H. Engel:
General-purpose, long-context autoregressive modeling with Perceiver AR. ICML 2022: 8535-8558 - [c10]Ian Simon, Josh Gardner, Curtis Hawthorne, Ethan Manilow, Jesse H. Engel:
Scaling Polyphonic Transcription with Mixtures of Monophonic Transcriptions. ISMIR 2022: 44-51 - [c9]Curtis Hawthorne, Ian Simon, Adam Roberts, Neil Zeghidour, Josh Gardner, Ethan Manilow, Jesse H. Engel:
Multi-instrument Music Synthesis with Spectrogram Diffusion. ISMIR 2022: 598-607 - [i17]Curtis Hawthorne, Andrew Jaegle, Catalina Cangea, Sebastian Borgeaud, Charlie Nash, Mateusz Malinowski, Sander Dieleman, Oriol Vinyals, Matthew M. Botvinick, Ian Simon, Hannah Sheahan, Neil Zeghidour, Jean-Baptiste Alayrac, João Carreira, Jesse H. Engel:
General-purpose, long-context autoregressive modeling with Perceiver AR. CoRR abs/2202.07765 (2022) - [i16]Ethan Manilow, Curtis Hawthorne, Cheng-Zhi Anna Huang, Bryan Pardo, Jesse H. Engel:
Improving Source Separation by Explicitly Modeling Dependencies Between Sources. CoRR abs/2203.15140 (2022) - [i15]Adam Roberts, Hyung Won Chung, Anselm Levskaya, Gaurav Mishra, James Bradbury, Daniel Andor, Sharan Narang, Brian Lester, Colin Gaffney, Afroz Mohiuddin, Curtis Hawthorne, Aitor Lewkowycz, Alex Salcianu, Marc van Zee, Jacob Austin, Sebastian Goodman, Livio Baldini Soares, Haitang Hu, Sasha Tsvyashchenko, Aakanksha Chowdhery, Jasmijn Bastings, Jannis Bulian, Xavier Garcia, Jianmo Ni, Andrew Chen, Kathleen Kenealy, Jonathan H. Clark, Stephan Lee, Dan Garrette, James Lee-Thorp, Colin Raffel, Noam Shazeer, Marvin Ritter, Maarten Bosma, Alexandre Passos, Jeremy Maitin-Shepard, Noah Fiedel, Mark Omernick, Brennan Saeta, Ryan Sepassi, Alexander Spiridonov, Joshua Newlan, Andrea Gesmundo:
Scaling Up Models and Data with t5x and seqio. CoRR abs/2203.17189 (2022) - [i14]Curtis Hawthorne, Ian Simon, Adam Roberts, Neil Zeghidour, Josh Gardner, Ethan Manilow, Jesse H. Engel:
Multi-instrument Music Synthesis with Spectrogram Diffusion. CoRR abs/2206.05408 (2022) - [i13]Yusong Wu, Josh Gardner, Ethan Manilow, Ian Simon, Curtis Hawthorne, Jesse H. Engel:
The Chamber Ensemble Generator: Limitless High-Quality MIR Data via Generative Modeling. CoRR abs/2209.14458 (2022) - [i12]Sander Dieleman, Laurent Sartran, Arman Roshannai, Nikolay Savinov, Yaroslav Ganin, Pierre H. Richemond, Arnaud Doucet, Robin Strudel, Chris Dyer, Conor Durkan, Curtis Hawthorne, Rémi Leblond, Will Grathwohl, Jonas Adler:
Continuous diffusion for categorical data. CoRR abs/2211.15089 (2022) - 2021
- [c8]Curtis Hawthorne, Ian Simon, Rigel Swavely, Ethan Manilow, Jesse H. Engel:
Sequence-to-Sequence Piano Transcription with Transformers. ISMIR 2021: 246-253 - [c7]Gautam Mittal, Jesse H. Engel, Curtis Hawthorne, Ian Simon:
Symbolic Music Generation with Diffusion Models. ISMIR 2021: 468-475 - [i11]Gautam Mittal, Jesse H. Engel, Curtis Hawthorne, Ian Simon:
Symbolic Music Generation with Diffusion Models. CoRR abs/2103.16091 (2021) - [i10]Curtis Hawthorne, Ian Simon, Rigel Swavely, Ethan Manilow, Jesse H. Engel:
Sequence-to-Sequence Piano Transcription with Transformers. CoRR abs/2107.09142 (2021) - [i9]Josh Gardner, Ian Simon, Ethan Manilow, Curtis Hawthorne, Jesse H. Engel:
MT3: Multi-Task Multitrack Music Transcription. CoRR abs/2111.03017 (2021) - 2020
- [c6]Kristy Choi, Curtis Hawthorne, Ian Simon, Monica Dinculescu, Jesse H. Engel:
Encoding Musical Style with Transformer Autoencoders. ICML 2020: 1899-1908 - [i8]Lee Callender, Curtis Hawthorne, Jesse H. Engel:
Improving Perceptual Quality of Drum Transcription with the Expanded Groove MIDI Dataset. CoRR abs/2004.00188 (2020)
2010 – 2019
- 2019
- [c5]Curtis Hawthorne, Andriy Stasyuk, Adam Roberts, Ian Simon, Cheng-Zhi Anna Huang, Sander Dieleman, Erich Elsen, Jesse H. Engel, Douglas Eck:
Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset. ICLR 2019 - [c4]Cheng-Zhi Anna Huang, Ashish Vaswani, Jakob Uszkoreit, Ian Simon, Curtis Hawthorne, Noam Shazeer, Andrew M. Dai, Matthew D. Hoffman, Monica Dinculescu, Douglas Eck:
Music Transformer: Generating Music with Long-Term Structure. ICLR (Poster) 2019 - [c3]Cheng-Zhi Anna Huang, Curtis Hawthorne, Adam Roberts, Monica Dinculescu, James Wexler, Leon Hong, Jacob Howcroft:
Approachable Music Composition with Machine Learning at Scale. ISMIR 2019: 793-800 - [i7]Cheng-Zhi Anna Huang, Curtis Hawthorne, Adam Roberts, Monica Dinculescu, James Wexler, Leon Hong, Jacob Howcroft:
The Bach Doodle: Approachable music composition with machine learning at scale. CoRR abs/1907.06637 (2019) - [i6]Kristy Choi, Curtis Hawthorne, Ian Simon, Monica Dinculescu, Jesse H. Engel:
Encoding Musical Style with Transformer Autoencoders. CoRR abs/1912.05537 (2019) - 2018
- [c2]Adam Roberts, Jesse H. Engel, Colin Raffel, Curtis Hawthorne, Douglas Eck:
A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music. ICML 2018: 4361-4370 - [c1]Curtis Hawthorne, Erich Elsen, Jialin Song, Adam Roberts, Ian Simon, Colin Raffel, Jesse H. Engel, Sageev Oore, Douglas Eck:
Onsets and Frames: Dual-Objective Piano Transcription. ISMIR 2018: 50-57 - [i5]Adam Roberts, Jesse H. Engel, Colin Raffel, Curtis Hawthorne, Douglas Eck:
A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music. CoRR abs/1803.05428 (2018) - [i4]Ian Simon, Adam Roberts, Colin Raffel, Jesse H. Engel, Curtis Hawthorne, Douglas Eck:
Learning a Latent Space of Multitrack Measures. CoRR abs/1806.00195 (2018) - [i3]Cheng-Zhi Anna Huang, Ashish Vaswani, Jakob Uszkoreit, Noam Shazeer, Curtis Hawthorne, Andrew M. Dai, Matthew D. Hoffman, Douglas Eck:
An Improved Relative Self-Attention Mechanism for Transformer with Application to Music Generation. CoRR abs/1809.04281 (2018) - [i2]Curtis Hawthorne, Andriy Stasyuk, Adam Roberts, Ian Simon, Cheng-Zhi Anna Huang, Sander Dieleman, Erich Elsen, Jesse H. Engel, Douglas Eck:
Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset. CoRR abs/1810.12247 (2018) - 2017
- [i1]Curtis Hawthorne, Erich Elsen, Jialin Song, Adam Roberts, Ian Simon, Colin Raffel, Jesse H. Engel, Sageev Oore, Douglas Eck:
Onsets and Frames: Dual-Objective Piano Transcription. CoRR abs/1710.11153 (2017)
Coauthor Index
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