| Mastering the game of Go with deep neural networks and tree search D Silver, A Huang, CJ Maddison, A Guez, L Sifre, G Van Den Driessche, ... nature 529 (7587), 484-489, 2016 | 9308 | 2016 |
| A convolutional neural network for modelling sentences N Kalchbrenner, E Grefenstette, P Blunsom arXiv preprint arXiv:1404.2188, 2014 | 2996 | 2014 |
| Wavenet: A generative model for raw audio A Oord, S Dieleman, H Zen, K Simonyan, O Vinyals, A Graves, ... arXiv preprint arXiv:1609.03499, 2016 | 2620 | 2016 |
| Pixel recurrent neural networks A Van Oord, N Kalchbrenner, K Kavukcuoglu International Conference on Machine Learning, 1747-1756, 2016 | 1331 | 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 | 1233 | 2016 |
| Recurrent continuous translation models N Kalchbrenner, P Blunsom Proceedings of the 2013 conference on empirical methods in natural language …, 2013 | 1193 | 2013 |
| 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 | 414 | 2018 |
| Neural machine translation in linear time N Kalchbrenner, L Espeholt, K Simonyan, A Oord, A Graves, ... arXiv preprint arXiv:1610.10099, 2016 | 378 | 2016 |
| Tensor2tensor for neural machine translation A Vaswani, S Bengio, E Brevdo, F Chollet, AN Gomez, S Gouws, L Jones, ... arXiv preprint arXiv:1803.07416, 2018 | 326 | 2018 |
| Efficient neural audio synthesis N Kalchbrenner, E Elsen, K Simonyan, S Noury, N Casagrande, ... International Conference on Machine Learning, 2410-2419, 2018 | 324 | 2018 |
| Grid long short-term memory N Kalchbrenner, I Danihelka, A Graves arXiv preprint arXiv:1507.01526, 2015 | 310 | 2015 |
| Video pixel networks N Kalchbrenner, A Oord, K Simonyan, I Danihelka, O Vinyals, A Graves, ... International Conference on Machine Learning, 1771-1779, 2017 | 278 | 2017 |
| The effects of feature‐label‐order and their implications for symbolic learning M Ramscar, D Yarlett, M Dye, K Denny, K Thorpe Cognitive science 34 (6), 909-957, 2010 | 269 | 2010 |
| Recurrent convolutional neural networks for discourse compositionality N Kalchbrenner, P Blunsom arXiv preprint arXiv:1306.3584, 2013 | 196 | 2013 |
| & Dieleman, S.(2016). Mastering the game of Go with deep neural networks and tree search D Silver, A Huang, CJ Maddison, A Guez, L Sifre, G Van Den Driessche Nature 529 (7587), 484-489, 0 | 139 | |
| 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 | 124 | 2017 |
| Associative long short-term memory I Danihelka, G Wayne, B Uria, N Kalchbrenner, A Graves International Conference on Machine Learning, 1986-1994, 2016 | 102 | 2016 |
| Modelling, visualising and summarising documents with a single convolutional neural network M Denil, A Demiraj, N Kalchbrenner, P Blunsom, N de Freitas arXiv preprint arXiv:1406.3830, 2014 | 61 | 2014 |
| Deep learning based text classification: A comprehensive review S Minaee, N Kalchbrenner, E Cambria, N Nikzad, M Chenaghlu, J Gao arXiv preprint arXiv:2004.03705, 2020 | 55 | 2020 |
| Generating high fidelity images with subscale pixel networks and multidimensional upscaling J Menick, N Kalchbrenner arXiv preprint arXiv:1812.01608, 2018 | 49 | 2018 |
Aäron van den OordGoogle DeepMindVerified email at google.com
