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Music Transformer

C. Huang, A. Vaswani, J. Uszkoreit, N. Shazeer, I. Simon, C. Hawthorne, A. Dai, M. Hoffman, M. Dinculescu, and D. Eck. (2018)cite arxiv:1809.04281Comment: Improved skewing section and accompanying figures. Previous titles are Än Improved Relative Self-Attention Mechanism for Transformer with Application to Music Generation" and "Music Transformer".

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James Hawthorne

Andrew Curtis

Vickie Curtis

Fritz Curtis

Robin Curtis

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Music TransformerC. Huang, A. Vaswani, J. Uszkoreit, N. Shazeer, I. Simon, C. Hawthorne, A. Dai, M. Hoffman, M. Dinculescu, and D. Eck. (2018)cite arxiv:1809.04281Comment: Improved skewing section and accompanying figures. Previous titles are Än Improved Relative Self-Attention Mechanism for Transformer with Application to Music Generation" and "Music Transformer".Encoding Musical Style with Transformer Autoencoders.K. Choi, C. Hawthorne, I. Simon, M. Dinculescu, and J. Engel. ICML, volume 119 of Proceedings of Machine Learning Research, page 1899-1908. PMLR, (2020)General-purpose, long-context autoregressive modeling with Perceiver AR.C. Hawthorne, A. Jaegle, C. Cangea, S. Borgeaud, C. Nash, M. Malinowski, S. Dieleman, O. Vinyals, M. Botvinick, I. Simon and 5 other author(s). ICML, volume 162 of Proceedings of Machine Learning Research, page 8535-8558. PMLR, (2022)A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music.A. Roberts, J. Engel, C. Raffel, C. Hawthorne, and D. Eck. ICML, volume 80 of Proceedings of Machine Learning Research, page 4361-4370. PMLR, (2018)Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset.C. Hawthorne, A. Stasyuk, A. Roberts, I. Simon, C. Huang, S. Dieleman, E. Elsen, J. Engel, and D. Eck. CoRR, (2018)Approachable Music Composition with Machine Learning at Scale.C. Huang, C. Hawthorne, A. Roberts, M. Dinculescu, J. Wexler, L. Hong, and J. Howcroft. ISMIR, page 793-800. (2019)Symbolic Music Generation with Diffusion Models.G. Mittal, J. Engel, C. Hawthorne, and I. Simon. ISMIR, page 468-475. (2021)The Bach Doodle: Approachable music composition with machine learning at scale.C. Huang, C. Hawthorne, A. Roberts, M. Dinculescu, J. Wexler, L. Hong, and J. Howcroft. CoRR, (2019)Improving Perceptual Quality of Drum Transcription with the Expanded Groove MIDI Dataset.L. Callender, C. Hawthorne, and J. Engel. CoRR, (2020)Continuous diffusion for categorical data.S. Dieleman, L. Sartran, A. Roshannai, N. Savinov, Y. Ganin, P. Richemond, A. Doucet, R. Strudel, C. Dyer, C. Durkan and 4 other author(s). CoRR, (2022)

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Music Transformer

Please choose a person to relate this publication to

James Hawthorne

Andrew Curtis

Vickie Curtis

Fritz Curtis

Robin Curtis

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Hawthorne, Curtis"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Music Transformer

Please choose a person to relate this publication to

James Hawthorne

Andrew Curtis

Vickie Curtis

Fritz Curtis

Robin Curtis

Other publications of authors with the same name

Disambiguation

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Chicago
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Music Transformer