Curtis Hawthorne

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 30

Top Topics

Source Separation

Machine Learning

Diffusion Models

Top Venues

Publications

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 (2022)
Ian Simon, Josh Gardner, Curtis Hawthorne, Ethan Manilow, Jesse H. Engel
Scaling Polyphonic Transcription with Mixtures of Monophonic Transcriptions. ISMIR (2022)
Ethan Manilow, Curtis Hawthorne, Cheng-Zhi Anna Huang, Bryan Pardo, Jesse H. Engel
Improving Source Separation by Explicitly Modeling Dependencies Between Sources. CoRR (2022)
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 (2022)
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 (2022)
Curtis Hawthorne, Andrew Jaegle, Catalina Cangea, Sebastian Borgeaud, Charlie Nash, Mateusz Malinowski, Sander Dieleman, Oriol Vinyals, Matthew 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 (2022)
Curtis Hawthorne, Ian Simon, Adam Roberts, Neil Zeghidour, Josh Gardner, Ethan Manilow, Jesse H. Engel
Multi-instrument Music Synthesis with Spectrogram Diffusion. ISMIR (2022)
Josh Gardner, Ian Simon, Ethan Manilow, Curtis Hawthorne, Jesse H. Engel
MT3: Multi-Task Multitrack Music Transcription. ICLR (2022)
Ethan Manilow, Curtis Hawthorne, Cheng-Zhi Anna Huang, Bryan Pardo, Jesse H. Engel
Improving Source Separation by Explicitly Modeling Dependencies between Sources. ICASSP (2022)
Curtis Hawthorne, Ian Simon, Adam Roberts, Neil Zeghidour, Josh Gardner, Ethan Manilow, Jesse H. Engel
Multi-instrument Music Synthesis with Spectrogram Diffusion. CoRR (2022)
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)
Josh Gardner, Ian Simon, Ethan Manilow, Curtis Hawthorne, Jesse H. Engel
MT3: Multi-Task Multitrack Music Transcription. CoRR (2021)
Curtis Hawthorne, Ian Simon, Rigel Swavely, Ethan Manilow, Jesse H. Engel
Sequence-to-Sequence Piano Transcription with Transformers. ISMIR (2021)
Gautam Mittal, Jesse H. Engel, Curtis Hawthorne, Ian Simon
Symbolic Music Generation with Diffusion Models. ISMIR (2021)
Gautam Mittal, Jesse H. Engel, Curtis Hawthorne, Ian Simon
Symbolic Music Generation with Diffusion Models. CoRR (2021)
Curtis Hawthorne, Ian Simon, Rigel Swavely, Ethan Manilow, Jesse H. Engel
Sequence-to-Sequence Piano Transcription with Transformers. CoRR (2021)
Kristy Choi, Curtis Hawthorne, Ian Simon, Monica Dinculescu, Jesse H. Engel
Encoding Musical Style with Transformer Autoencoders. ICML (2020)
Lee Callender, Curtis Hawthorne, Jesse H. Engel
Improving Perceptual Quality of Drum Transcription with the Expanded Groove MIDI Dataset. CoRR (2020)
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)
Kristy Choi, Curtis Hawthorne, Ian Simon, Monica Dinculescu, Jesse H. Engel
Encoding Musical Style with Transformer Autoencoders. CoRR (2019)
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 (2019)
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)
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)
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)
Ian Simon, Adam Roberts, Colin Raffel, Jesse H. Engel, Curtis Hawthorne, Douglas Eck
Learning a Latent Space of Multitrack Measures. CoRR (2018)
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 (2018)
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 (2018)
Adam Roberts, Jesse H. Engel, Colin Raffel, Curtis Hawthorne, Douglas Eck
A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music. CoRR (2018)
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)
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 (2017)