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Continuous diffusion for categorical data


Dec 15, 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

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* 26 pages, 8 figures; corrections and additional information about hyperparameters 

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Self-conditioned Embedding Diffusion for Text Generation


Nov 08, 2022
Robin Strudel, Corentin Tallec, Florent Altché, Yilun Du, Yaroslav Ganin, Arthur Mensch, Will Grathwohl, Nikolay Savinov, Sander Dieleman, Laurent Sifre, Rémi Leblond

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* 15 pages 

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Categorical SDEs with Simplex Diffusion


Oct 26, 2022
Pierre H. Richemond, Sander Dieleman, Arnaud Doucet

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General-purpose, long-context autoregressive modeling with Perceiver AR


Feb 15, 2022
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, João Carreira, Jesse Engel

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Towards Learning Universal Audio Representations


Dec 01, 2021
Luyu Wang, Pauline Luc, Yan Wu, Adria Recasens, Lucas Smaira, Andrew Brock, Andrew Jaegle, Jean-Baptiste Alayrac, Sander Dieleman, Joao Carreira, Aaron van den Oord

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Variable-rate discrete representation learning


Mar 10, 2021
Sander Dieleman, Charlie Nash, Jesse Engel, Karen Simonyan

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* 26 pages, 15 figures, samples can be found at https://vdrl.github.io/ 

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Generating Images with Sparse Representations


Mar 05, 2021
Charlie Nash, Jacob Menick, Sander Dieleman, Peter W. Battaglia

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