| 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 | 9401 | 2016 |
| 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 | 3526* | 2016 |
| Deep content-based music recommendation A Van Den Oord, S Dieleman, B Schrauwen Neural Information Processing Systems Conference (NIPS 2013) 26, 2013 | 1047 | 2013 |
| Theano: A Python framework for fast computation of mathematical expressions R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... arXiv e-prints, arXiv: 1605.02688, 2016 | 745* | 2016 |
| Rotation-invariant convolutional neural networks for galaxy morphology prediction S Dieleman, KW Willett, J Dambre Monthly notices of the royal astronomical society 450 (2), 1441-1459, 2015 | 486 | 2015 |
| Lasagne: first release S Dieleman, J Schlüter, C Raffel, E Olson, SK Sønderby, D Nouri, ... Zenodo: Geneva, Switzerland 3, 74, 2015 | 417* | 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 | 414 | 2018 |
| End-to-end learning for music audio S Dieleman, B Schrauwen 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 342 | 2014 |
| Efficient neural audio synthesis N Kalchbrenner, E Elsen, K Simonyan, S Noury, N Casagrande, ... International Conference on Machine Learning, 2410-2419, 2018 | 324 | 2018 |
| Neural audio synthesis of musical notes with wavenet autoencoders J Engel, C Resnick, A Roberts, S Dieleman, M Norouzi, D Eck, ... International Conference on Machine Learning, 1068-1077, 2017 | 280 | 2017 |
| Sign language recognition using convolutional neural networks L Pigou, S Dieleman, PJ Kindermans, B Schrauwen European Conference on Computer Vision, 572-578, 2014 | 237 | 2014 |
| Exploiting cyclic symmetry in convolutional neural networks S Dieleman, J De Fauw, K Kavukcuoglu International conference on machine learning, 1889-1898, 2016 | 210 | 2016 |
| 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 | 181 | 2018 |
| Audio-based music classification with a pretrained convolutional network S Dieleman, P Brakel, B Schrauwen 12th International Society for Music Information Retrieval Conference (ISMIR …, 2011 | 141 | 2011 |
| Enabling factorized piano music modeling and generation with the MAESTRO dataset C Hawthorne, A Stasyuk, A Roberts, I Simon, CZA Huang, S Dieleman, ... arXiv preprint arXiv:1810.12247, 2018 | 108 | 2018 |
| Multiscale approaches to music audio feature learning S Dieleman, B Schrauwen 14th International Society for Music Information Retrieval Conference (ISMIR …, 2013 | 99 | 2013 |
| The challenge of realistic music generation: modelling raw audio at scale S Dieleman, A Oord, K Simonyan arXiv preprint arXiv:1806.10474, 2018 | 77 | 2018 |
| Transfer learning by supervised pre-training for audio-based music classification A Van Den Oord, S Dieleman, B Schrauwen Conference of the International Society for Music Information Retrieval …, 2014 | 62 | 2014 |
| This time with feeling: Learning expressive musical performance S Oore, I Simon, S Dieleman, D Eck, K Simonyan Neural Computing and Applications 32 (4), 955-967, 2020 | 58 | 2020 |
| High fidelity speech synthesis with adversarial networks M Bińkowski, J Donahue, S Dieleman, A Clark, E Elsen, N Casagrande, ... arXiv preprint arXiv:1909.11646, 2019 | 49 | 2019 |
