Aron van den Oord
Aron van den Oord
Google DeepMind
Verified email at - Homepage
Cited by
Cited by
WaveNet: A Generative Model for Raw Audio
A van den Oord, S Dieleman, H Zen, K Simonyan, O Vinyals, A Graves, ...
arXiv preprint arXiv:1609.03499, 2016
Representation learning with contrastive predictive coding
A Oord, Y Li, O Vinyals
arXiv preprint arXiv:1807.03748, 2018
Pixel recurrent neural networks
A Van Oord, N Kalchbrenner, K Kavukcuoglu
International Conference on Machine Learning, 1747-1756, 2016
Conditional image generation with pixelcnn decoders
A Oord, N Kalchbrenner, O Vinyals, L Espeholt, A Graves, K Kavukcuoglu
arXiv preprint arXiv:1606.05328, 2016
Deep content-based music recommendation
A Van Den Oord, S Dieleman, B Schrauwen
Neural Information Processing Systems Conference (NIPS 2013) 26, 2013
Neural discrete representation learning
A Oord, O Vinyals, K Kavukcuoglu
arXiv preprint arXiv:1711.00937, 2017
A note on the evaluation of generative models
L Theis, A Oord, M Bethge
arXiv preprint arXiv:1511.01844, 2015
Parallel wavenet: Fast high-fidelity speech synthesis
A Oord, Y Li, I Babuschkin, K Simonyan, O Vinyals, K Kavukcuoglu, ...
International conference on machine learning, 3918-3926, 2018
Data-efficient image recognition with contrastive predictive coding
OJ Hnaff, A Srinivas, J De Fauw, A Razavi, C Doersch, ASM Eslami, ...
International Conference on Machine Learning, 4182-4192, 2020
Efficient neural audio synthesis
N Kalchbrenner, E Elsen, K Simonyan, S Noury, N Casagrande, ...
International Conference on Machine Learning, 2410-2419, 2018
Neural machine translation in linear time
N Kalchbrenner, L Espeholt, K Simonyan, A Oord, A Graves, ...
arXiv preprint arXiv:1610.10099, 2016
Generating diverse high-fidelity images with vq-vae-2
A Razavi, A van den Oord, O Vinyals
Advances in neural information processing systems, 14866-14876, 2019
Count-based exploration with neural density models
G Ostrovski, MG Bellemare, A Oord, R Munos
International conference on machine learning, 2721-2730, 2017
Video pixel networks
N Kalchbrenner, A Oord, K Simonyan, I Danihelka, O Vinyals, A Graves, ...
International Conference on Machine Learning, 1771-1779, 2017
Adversarial risk and the dangers of evaluating against weak attacks
J Uesato, B O’donoghue, P Kohli, A Oord
International Conference on Machine Learning, 5025-5034, 2018
On variational bounds of mutual information
B Poole, S Ozair, A Van Den Oord, A Alemi, G Tucker
International Conference on Machine Learning, 5171-5180, 2019
Beyond temporal pooling: Recurrence and temporal convolutions for gesture recognition in video
L Pigou, A Van Den Oord, S Dieleman, M Van Herreweghe, J Dambre
International Journal of Computer Vision 126 (2), 430-439, 2018
Unsupervised speech representation learning using wavenet autoencoders
J Chorowski, RJ Weiss, S Bengio, A van den Oord
IEEE/ACM transactions on audio, speech, and language processing 27 (12…, 2019
Parallel multiscale autoregressive density estimation
S Reed, A Oord, N Kalchbrenner, SG Colmenarejo, Z Wang, Y Chen, ...
International Conference on Machine Learning, 2912-2921, 2017
The challenge of realistic music generation: modelling raw audio at scale
S Dieleman, A Oord, K Simonyan
arXiv preprint arXiv:1806.10474, 2018
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