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Variable-rate discrete representation learning


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

* 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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A Deep Learning Approach for Characterizing Major Galaxy Mergers


Feb 09, 2021
Skanda Koppula, Victor Bapst, Marc Huertas-Company, Sam Blackwell, Agnieszka Grabska-Barwinska, Sander Dieleman, Andrea Huber, Natasha Antropova, Mikolaj Binkowski, Hannah Openshaw, Adria Recasens, Fernando Caro, Avishai Deke, Yohan Dubois, Jesus Vega Ferrero, David C. Koo, Joel R. Primack, Trevor Back

* Third Workshop on Machine Learning and the Physical Sciences (NeurIPS 2020), Vancouver, Canada 

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Towards transformation-resilient provenance detection of digital media


Nov 14, 2020
Jamie Hayes, Krishnamurthy, Dvijotham, Yutian Chen, Sander Dieleman, Pushmeet Kohli, Norman Casagrande


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Self-Supervised MultiModal Versatile Networks


Jun 29, 2020
Jean-Baptiste Alayrac, Adrià Recasens, Rosalia Schneider, Relja Arandjelović, Jason Ramapuram, Jeffrey De Fauw, Lucas Smaira, Sander Dieleman, Andrew Zisserman


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End-to-End Adversarial Text-to-Speech


Jun 05, 2020
Jeff Donahue, Sander Dieleman, Mikołaj Bińkowski, Erich Elsen, Karen Simonyan


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Transformation-based Adversarial Video Prediction on Large-Scale Data


Mar 09, 2020
Pauline Luc, Aidan Clark, Sander Dieleman, Diego de Las Casas, Yotam Doron, Albin Cassirer, Karen Simonyan


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High Fidelity Speech Synthesis with Adversarial Networks


Sep 26, 2019
Mikołaj Bińkowski, Jeff Donahue, Sander Dieleman, Aidan Clark, Erich Elsen, Norman Casagrande, Luis C. Cobo, Karen Simonyan


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Hierarchical Autoregressive Image Models with Auxiliary Decoders


Mar 06, 2019
Jeffrey De Fauw, Sander Dieleman, Karen Simonyan


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Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset


Oct 30, 2018
Curtis Hawthorne, Andriy Stasyuk, Adam Roberts, Ian Simon, Cheng-Zhi Anna Huang, Sander Dieleman, Erich Elsen, Jesse Engel, Douglas Eck

* Examples available at https://goo.gl/magenta/maestro-examples 

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Piano Genie


Oct 11, 2018
Chris Donahue, Ian Simon, Sander Dieleman


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This Time with Feeling: Learning Expressive Musical Performance


Aug 10, 2018
Sageev Oore, Ian Simon, Sander Dieleman, Douglas Eck, Karen Simonyan

* Includes links to urls for audio samples 

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The challenge of realistic music generation: modelling raw audio at scale


Jun 26, 2018
Sander Dieleman, Aäron van den Oord, Karen Simonyan

* 13 pages, 2 figures, submitted to NIPS 2018 

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Efficient Neural Audio Synthesis


Jun 25, 2018
Nal Kalchbrenner, Erich Elsen, Karen Simonyan, Seb Noury, Norman Casagrande, Edward Lockhart, Florian Stimberg, Aaron van den Oord, Sander Dieleman, Koray Kavukcuoglu

* 10 pages 

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Parallel WaveNet: Fast High-Fidelity Speech Synthesis


Nov 28, 2017
Aaron van den Oord, Yazhe Li, Igor Babuschkin, Karen Simonyan, Oriol Vinyals, Koray Kavukcuoglu, George van den Driessche, Edward Lockhart, Luis C. Cobo, Florian Stimberg, Norman Casagrande, Dominik Grewe, Seb Noury, Sander Dieleman, Erich Elsen, Nal Kalchbrenner, Heiga Zen, Alex Graves, Helen King, Tom Walters, Dan Belov, Demis Hassabis


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Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders


Apr 05, 2017
Jesse Engel, Cinjon Resnick, Adam Roberts, Sander Dieleman, Douglas Eck, Karen Simonyan, Mohammad Norouzi


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WaveNet: A Generative Model for Raw Audio


Sep 19, 2016
Aaron van den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew Senior, Koray Kavukcuoglu


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Exploiting Cyclic Symmetry in Convolutional Neural Networks


May 26, 2016
Sander Dieleman, Jeffrey De Fauw, Koray Kavukcuoglu

* 10 pages, 6 figures, accepted for publication at ICML 2016 

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Theano: A Python framework for fast computation of mathematical expressions


May 09, 2016
The Theano Development Team, Rami Al-Rfou, Guillaume Alain, Amjad Almahairi, Christof Angermueller, Dzmitry Bahdanau, Nicolas Ballas, Frédéric Bastien, Justin Bayer, Anatoly Belikov, Alexander Belopolsky, Yoshua Bengio, Arnaud Bergeron, James Bergstra, Valentin Bisson, Josh Bleecher Snyder, Nicolas Bouchard, Nicolas Boulanger-Lewandowski, Xavier Bouthillier, Alexandre de Brébisson, Olivier Breuleux, Pierre-Luc Carrier, Kyunghyun Cho, Jan Chorowski, Paul Christiano, Tim Cooijmans, Marc-Alexandre Côté, Myriam Côté, Aaron Courville, Yann N. Dauphin, Olivier Delalleau, Julien Demouth, Guillaume Desjardins, Sander Dieleman, Laurent Dinh, Mélanie Ducoffe, Vincent Dumoulin, Samira Ebrahimi Kahou, Dumitru Erhan, Ziye Fan, Orhan Firat, Mathieu Germain, Xavier Glorot, Ian Goodfellow, Matt Graham, Caglar Gulcehre, Philippe Hamel, Iban Harlouchet, Jean-Philippe Heng, Balázs Hidasi, Sina Honari, Arjun Jain, Sébastien Jean, Kai Jia, Mikhail Korobov, Vivek Kulkarni, Alex Lamb, Pascal Lamblin, Eric Larsen, César Laurent, Sean Lee, Simon Lefrancois, Simon Lemieux, Nicholas Léonard, Zhouhan Lin, Jesse A. Livezey, Cory Lorenz, Jeremiah Lowin, Qianli Ma, Pierre-Antoine Manzagol, Olivier Mastropietro, Robert T. McGibbon, Roland Memisevic, Bart van Merriënboer, Vincent Michalski, Mehdi Mirza, Alberto Orlandi, Christopher Pal, Razvan Pascanu, Mohammad Pezeshki, Colin Raffel, Daniel Renshaw, Matthew Rocklin, Adriana Romero, Markus Roth, Peter Sadowski, John Salvatier, François Savard, Jan Schlüter, John Schulman, Gabriel Schwartz, Iulian Vlad Serban, Dmitriy Serdyuk, Samira Shabanian, Étienne Simon, Sigurd Spieckermann, S. Ramana Subramanyam, Jakub Sygnowski, Jérémie Tanguay, Gijs van Tulder, Joseph Turian, Sebastian Urban, Pascal Vincent, Francesco Visin, Harm de Vries, David Warde-Farley, Dustin J. Webb, Matthew Willson, Kelvin Xu, Lijun Xue, Li Yao, Saizheng Zhang, Ying Zhang

* 19 pages, 5 figures 

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Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video


Feb 10, 2016
Lionel Pigou, Aäron van den Oord, Sander Dieleman, Mieke Van Herreweghe, Joni Dambre


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Rotation-invariant convolutional neural networks for galaxy morphology prediction


Mar 24, 2015
Sander Dieleman, Kyle W. Willett, Joni Dambre

* Accepted for publication in MNRAS. 20 pages, 14 figures 

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