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Aron van den Oord
Aron van den Oord
Google DeepMind
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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
6059*2016
Representation learning with contrastive predictive coding
A Oord, Y Li, O Vinyals
arXiv preprint arXiv:1807.03748, 2018
42502018
Pixel recurrent neural networks
A Van Den Oord, N Kalchbrenner, K Kavukcuoglu
International conference on machine learning, 1747-1756, 2016
21442016
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, 2016
20852016
Neural discrete representation learning
A Van Den Oord, O Vinyals
Advances in neural information processing systems 30, 2017
17982017
Deep content-based music recommendation
A Van den Oord, S Dieleman, B Schrauwen
Advances in neural information processing systems 26, 2013
14012013
A note on the evaluation of generative models
L Theis, A Oord, M Bethge
arXiv preprint arXiv:1511.01844, 2015
10162015
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
10042020
Generating diverse high-fidelity images with vq-vae-2
A Razavi, A Van den Oord, O Vinyals
Advances in neural information processing systems 32, 2019
8262019
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
7612018
Efficient neural audio synthesis
N Kalchbrenner, E Elsen, K Simonyan, S Noury, N Casagrande, ...
International Conference on Machine Learning, 2410-2419, 2018
7442018
Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew Senior, and Koray Kavukcuoglu. 2016. Wavenet: A generative model for raw audio
A Van Den Oord, S Dieleman
arXiv preprint arXiv:1609.03499 1, 1-15, 2016
6822016
Neural machine translation in linear time
N Kalchbrenner, L Espeholt, K Simonyan, A Oord, A Graves, ...
arXiv preprint arXiv:1610.10099, 2016
5422016
Count-based exploration with neural density models
G Ostrovski, MG Bellemare, A Oord, R Munos
International conference on machine learning, 2721-2730, 2017
5252017
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
4632019
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
4542018
Video pixel networks
N Kalchbrenner, A Oord, K Simonyan, I Danihelka, O Vinyals, A Graves, ...
International Conference on Machine Learning, 1771-1779, 2017
4042017
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
3092019
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, 430-439, 2018
2792018
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
2012017
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Artikelen 1–20