Aron van den Oord
Aron van den Oord
Google DeepMind
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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
Pixel recurrent neural networks
A Oord, N Kalchbrenner, K Kavukcuoglu
arXiv preprint arXiv:1601.06759, 2016
Conditional image generation with pixelcnn decoders
A Van den Oord, N Kalchbrenner, L Espeholt, O Vinyals, A Graves
Advances in neural information processing systems 29, 4790-4798, 2016
Deep content-based music recommendation
A Van den Oord, S Dieleman, B Schrauwen
Advances in neural information processing systems 26, 2643-2651, 2013
A note on the evaluation of generative models
L Theis, A Oord, M Bethge
arXiv preprint arXiv:1511.01844, 2015
Representation learning with contrastive predictive coding
A Oord, Y Li, O Vinyals
arXiv preprint arXiv:1807.03748, 2018
Neural discrete representation learning
A Van Den Oord, O Vinyals
Advances in Neural Information Processing Systems, 6306-6315, 2017
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
Neural machine translation in linear time
N Kalchbrenner, L Espeholt, K Simonyan, A Oord, A Graves, ...
arXiv preprint arXiv:1610.10099, 2016
Efficient neural audio synthesis
N Kalchbrenner, E Elsen, K Simonyan, S Noury, N Casagrande, ...
arXiv preprint arXiv:1802.08435, 2018
Count-based exploration with neural density models
G Ostrovski, MG Bellemare, A Oord, R Munos
arXiv preprint arXiv:1703.01310, 2017
Video pixel networks
N Kalchbrenner, A Oord, K Simonyan, I Danihelka, O Vinyals, A Graves, ...
International Conference on Machine Learning, 1771-1779, 2017
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
Adversarial risk and the dangers of evaluating against weak attacks
J Uesato, B O'Donoghue, A Oord, P Kohli
arXiv preprint arXiv:1802.05666, 2018
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
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 (2-4), 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, D Belov, ...
arXiv preprint arXiv:1703.03664, 2017
On variational bounds of mutual information
B Poole, S Ozair, A Oord, AA Alemi, G Tucker
arXiv preprint arXiv:1905.06922, 2019
The challenge of realistic music generation: modelling raw audio at scale
S Dieleman, A van den Oord, K Simonyan
Advances in Neural Information Processing Systems 31, 7989-7999, 2018
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