News

Recent Publications

placeholder WaveNet: A Generative Model for Raw Audio
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
Aäron van den Oord, Nal Kalchbrenner, Oriol Vinyals, Lasse Espeholt, Alex Graves, Koray Kavukcuoglu
Arxiv

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

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

Deep Content-Based Music Recommendation
Aäron van den Oord, Sander Dieleman, Benjamin Schrauwen
PDF

Factoring variations in natural images with deep Gaussian mixture models
Aäron van den Oord, Benjamin Schrauwen
PDF

The student-t mixture as a natural image patch prior with application to image compression
Aäron van den Oord, Benjamin Schrauwen
PDF

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.