About Me

Based in London, I am an Artificial Intelligence researcher at Google DeepMind. I am passionate about deep learning with a strong focus on generative models, such as PixelCNNs and WaveNets. During my PhD at Ghent University I also worked on image compression and music recommendation - the latter got me an internship at Google Play Music.

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Selected Publications

A complete list of publications can be found here.

Representation Learning with Contrastive Predictive Coding (2018)
Aäron van den Oord, Yazhe Li, Oriol Vinyals
Arxiv

Parallel WaveNet: Fast High-Fidelity Speech Synthesis (2017)
Aäron 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
Blogpost
Arxiv

Neural Discrete Representation Learning (2017)
Aäron van den Oord, Oriol Vinyals, Koray Kavukcuoglu
Slides from SANE 2017 talk
Samples
Arxiv
Code

WaveNet: A Generative Model for Raw Audio (2016)
Aäron van den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew Senior, Koray Kavukcuoglu
Blogpost
Arxiv

Conditional Image Generation with PixelCNN Decoders (2016)
Aäron van den Oord, Nal Kalchbrenner, Oriol Vinyals, Lasse Espeholt, Alex Graves, Koray Kavukcuoglu
Arxiv

Pixel Recurrent Neural Networks (2016)
Aäron van den Oord, Nal Kalchbrenner, Koray Kavukcuoglu
Best paper award at ICML 2016
Arxiv

A note on the evaluation of generative models (2015)
Lucas Theis*, Aäron van den Oord*, Matthias Bethge
Arxiv