Hawthorne, Curtis

8 publications

MLOSS 2023 Scaling up Models and Data with T5x and Seqio 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

ICML 2022 General-Purpose, Long-Context Autoregressive Modeling with Perceiver AR Curtis Hawthorne, Andrew Jaegle, Cătălina Cangea, Sebastian Borgeaud, Charlie Nash, Mateusz Malinowski, Sander Dieleman, Oriol Vinyals, Matthew Botvinick, Ian Simon, Hannah Sheahan, Neil Zeghidour, Jean-Baptiste Alayrac, Joao Carreira, Jesse Engel

ICLR 2022 MT3: Multi-Task Multitrack Music Transcription Joshua P Gardner, Ian Simon, Ethan Manilow, Curtis Hawthorne, Jesse Engel

ICML 2020 Encoding Musical Style with Transformer Autoencoders Kristy Choi, Curtis Hawthorne, Ian Simon, Monica Dinculescu, Jesse Engel

ICMLW 2020 Self-Supervised Pitch Detection by Inverse Audio Synthesis Jesse Engel, Rigel Swavely, Lamtharn Hanoi Hantrakul, Adam Roberts, Curtis Hawthorne

ICLR 2019 Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset Curtis Hawthorne, Andriy Stasyuk, Adam Roberts, Ian Simon, Cheng-Zhi Anna Huang, Sander Dieleman, Erich Elsen, Jesse Engel, Douglas Eck

ICLR 2019 Music Transformer: Generating Music with Long-Term Structure Cheng-Zhi Anna Huang, Ashish Vaswani, Jakob Uszkoreit, Ian Simon, Curtis Hawthorne, Noam Shazeer, Andrew M. Dai, Matthew D. Hoffman, Monica Dinculescu, Douglas Eck

ICML 2018 A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music Adam Roberts, Jesse Engel, Colin Raffel, Curtis Hawthorne, Douglas Eck