Curtis Hawthorne

31 papers A* 4Misc 1Journal 18Unranked 8

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Scaling Up Models and Data with t5x and seqio. J. Mach. Learn. Res. Adam Roberts, Hyung Won Chung, Gaurav Mishra, Anselm Levskaya, 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, Kehang Han, Michelle Casbon, 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
2022	J	`jnl`	Continuous diffusion for categorical data. CoRR 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
2022	A*	`conf`	General-purpose, long-context autoregressive modeling with Perceiver AR. ICML 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
2022	J	`jnl`	General-purpose, long-context autoregressive modeling with Perceiver AR. CoRR 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
2022	J	`jnl`	Improving Source Separation by Explicitly Modeling Dependencies Between Sources. CoRR Ethan Manilow, Curtis Hawthorne, Cheng-Zhi Anna Huang, Bryan Pardo, Jesse H. Engel
2022	Misc	`conf`	Improving Source Separation by Explicitly Modeling Dependencies between Sources. ICASSP Ethan Manilow, Curtis Hawthorne, Cheng-Zhi Anna Huang, Bryan Pardo, Jesse H. Engel
2022	A*	`conf`	MT3: Multi-Task Multitrack Music Transcription. ICLR Josh Gardner, Ian Simon, Ethan Manilow, Curtis Hawthorne, Jesse H. Engel
2022	—	`conf`	Multi-instrument Music Synthesis with Spectrogram Diffusion. ISMIR Curtis Hawthorne, Ian Simon, Adam Roberts, Neil Zeghidour, Josh Gardner, Ethan Manilow, Jesse H. Engel
2022	J	`jnl`	Multi-instrument Music Synthesis with Spectrogram Diffusion. CoRR Curtis Hawthorne, Ian Simon, Adam Roberts, Neil Zeghidour, Josh Gardner, Ethan Manilow, Jesse H. Engel
2022	—	`conf`	Scaling Polyphonic Transcription with Mixtures of Monophonic Transcriptions. ISMIR Ian Simon, Josh Gardner, Curtis Hawthorne, Ethan Manilow, Jesse H. Engel
2022	J	`jnl`	Scaling Up Models and Data with t5x and seqio. CoRR 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
2022	J	`jnl`	The Chamber Ensemble Generator: Limitless High-Quality MIR Data via Generative Modeling. CoRR Yusong Wu, Josh Gardner, Ethan Manilow, Ian Simon, Curtis Hawthorne, Jesse H. Engel
2021	J	`jnl`	MT3: Multi-Task Multitrack Music Transcription. CoRR Josh Gardner, Ian Simon, Ethan Manilow, Curtis Hawthorne, Jesse H. Engel
2021	—	`conf`	Sequence-to-Sequence Piano Transcription with Transformers. ISMIR Curtis Hawthorne, Ian Simon, Rigel Swavely, Ethan Manilow, Jesse H. Engel
2021	J	`jnl`	Sequence-to-Sequence Piano Transcription with Transformers. CoRR Curtis Hawthorne, Ian Simon, Rigel Swavely, Ethan Manilow, Jesse H. Engel
2021	—	`conf`	Symbolic Music Generation with Diffusion Models. ISMIR Gautam Mittal, Jesse H. Engel, Curtis Hawthorne, Ian Simon
2021	J	`jnl`	Symbolic Music Generation with Diffusion Models. CoRR Gautam Mittal, Jesse H. Engel, Curtis Hawthorne, Ian Simon
2020	A*	`conf`	Encoding Musical Style with Transformer Autoencoders. ICML Kristy Choi, Curtis Hawthorne, Ian Simon, Monica Dinculescu, Jesse H. Engel
2020	J	`jnl`	Improving Perceptual Quality of Drum Transcription with the Expanded Groove MIDI Dataset. CoRR Lee Callender, Curtis Hawthorne, Jesse H. Engel
2019	—	`conf`	Approachable Music Composition with Machine Learning at Scale. ISMIR Cheng-Zhi Anna Huang, Curtis Hawthorne, Adam Roberts, Monica Dinculescu, James Wexler, Leon Hong, Jacob Howcroft
2019	—	`conf`	Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset. ICLR Curtis Hawthorne, Andriy Stasyuk, Adam Roberts, Ian Simon, Cheng-Zhi Anna Huang, Sander Dieleman, Erich Elsen, Jesse H. Engel, Douglas Eck
2019	J	`jnl`	Encoding Musical Style with Transformer Autoencoders. CoRR Kristy Choi, Curtis Hawthorne, Ian Simon, Monica Dinculescu, Jesse H. Engel
2019	—	`conf`	Music Transformer: Generating Music with Long-Term Structure. ICLR (Poster) Cheng-Zhi Anna Huang, Ashish Vaswani, Jakob Uszkoreit, Ian Simon, Curtis Hawthorne, Noam Shazeer, Andrew M. Dai, Matthew D. Hoffman, Monica Dinculescu, Douglas Eck
2019	J	`jnl`	The Bach Doodle: Approachable music composition with machine learning at scale. CoRR Cheng-Zhi Anna Huang, Curtis Hawthorne, Adam Roberts, Monica Dinculescu, James Wexler, Leon Hong, Jacob Howcroft
2018	A*	`conf`	A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music. ICML Adam Roberts, Jesse H. Engel, Colin Raffel, Curtis Hawthorne, Douglas Eck
2018	J	`jnl`	A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music. CoRR Adam Roberts, Jesse H. Engel, Colin Raffel, Curtis Hawthorne, Douglas Eck
2018	J	`jnl`	An Improved Relative Self-Attention Mechanism for Transformer with Application to Music Generation. CoRR Cheng-Zhi Anna Huang, Ashish Vaswani, Jakob Uszkoreit, Noam Shazeer, Curtis Hawthorne, Andrew M. Dai, Matthew D. Hoffman, Douglas Eck
2018	J	`jnl`	Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset. CoRR Curtis Hawthorne, Andriy Stasyuk, Adam Roberts, Ian Simon, Cheng-Zhi Anna Huang, Sander Dieleman, Erich Elsen, Jesse H. Engel, Douglas Eck
2018	J	`jnl`	Learning a Latent Space of Multitrack Measures. CoRR Ian Simon, Adam Roberts, Colin Raffel, Jesse H. Engel, Curtis Hawthorne, Douglas Eck
2018	—	`conf`	Onsets and Frames: Dual-Objective Piano Transcription. ISMIR Curtis Hawthorne, Erich Elsen, Jialin Song, Adam Roberts, Ian Simon, Colin Raffel, Jesse H. Engel, Sageev Oore, Douglas Eck
2017	J	`jnl`	Onsets and Frames: Dual-Objective Piano Transcription. CoRR Curtis Hawthorne, Erich Elsen, Jialin Song, Adam Roberts, Ian Simon, Colin Raffel, Jesse H. Engel, Sageev Oore, Douglas Eck