Curtis Hawthorne
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
7
Venues
3
Active years
2018–2022
Best venue rank
A*
Where they publish
Papers
7 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2022 | ICASSP | Improving Source Separation by Explicitly Modeling Dependencies between Sources. | Ethan Manilow, Curtis Hawthorne, Cheng-Zhi Anna Huang, Bryan Pardo, Jesse H. Engel |
| 2022 | ICLR | MT3: Multi-Task Multitrack Music Transcription. | Josh Gardner, Ian Simon, Ethan Manilow, Curtis Hawthorne, Jesse H. Engel |
| 2022 | ICML | General-purpose, long-context autoregressive modeling with Perceiver AR. | 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, Joo Carreira, Jesse H. Engel |
| 2020 | ICML | Encoding Musical Style with Transformer Autoencoders. | Kristy Choi, Curtis Hawthorne, Ian Simon, Monica Dinculescu, Jesse H. Engel |
| 2019 | ICLR | 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 H. Engel, Douglas Eck |
| 2019 | ICLR | 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 |
| 2018 | ICML | A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music. | Adam Roberts, Jesse H. Engel, Colin Raffel, Curtis Hawthorne, Douglas Eck |