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Alex Graves

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Bayesian Flow Networks

Aug 14, 2023
Alex Graves, Rupesh Kumar Srivastava, Timothy Atkinson, Faustino Gomez

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A Practical Sparse Approximation for Real Time Recurrent Learning

Jun 12, 2020
Jacob Menick, Erich Elsen, Utku Evci, Simon Osindero, Karen Simonyan, Alex Graves

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The Kanerva Machine: A Generative Distributed Memory

Jun 18, 2018
Yan Wu, Greg Wayne, Alex Graves, Timothy Lillicrap

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Associative Compression Networks for Representation Learning

Apr 26, 2018
Alex Graves, Jacob Menick, Aaron van den Oord

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Noisy Networks for Exploration

Feb 15, 2018
Meire Fortunato, Mohammad Gheshlaghi Azar, Bilal Piot, Jacob Menick, Ian Osband, Alex Graves, Vlad Mnih, Remi Munos, Demis Hassabis, Olivier Pietquin, Charles Blundell, Shane Legg

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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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Decoupled Neural Interfaces using Synthetic Gradients

Jul 03, 2017
Max Jaderberg, Wojciech Marian Czarnecki, Simon Osindero, Oriol Vinyals, Alex Graves, David Silver, Koray Kavukcuoglu

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Automated Curriculum Learning for Neural Networks

Apr 10, 2017
Alex Graves, Marc G. Bellemare, Jacob Menick, Remi Munos, Koray Kavukcuoglu

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Neural Machine Translation in Linear Time

Mar 15, 2017
Nal Kalchbrenner, Lasse Espeholt, Karen Simonyan, Aaron van den Oord, Alex Graves, Koray Kavukcuoglu

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Adaptive Computation Time for Recurrent Neural Networks

Feb 21, 2017
Alex Graves

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