| 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 | 24388 | 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 | 11159* | 2016 |
| Deep content-based music recommendation A Van den Oord, S Dieleman, B Schrauwen Advances in neural information processing systems 26, 2013 | 1826 | 2013 |
| Gemini 2.5: Pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilities G Comanici, E Bieber, M Schaekermann, I Pasupat, N Sachdeva, I Dhillon, ... arXiv preprint arXiv:2507.06261, 2025 | 1337 | 2025 |
| Theano: A Python framework for fast computation of mathematical expressions R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... arXiv preprint arXiv:1605.02688, 2016 | 1211 | 2016 |
| Efficient neural audio synthesis N Kalchbrenner, E Elsen, K Simonyan, S Noury, N Casagrande, ... International Conference on Machine Learning, 2410-2419, 2018 | 1186 | 2018 |
| 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 | 1131 | 2018 |
| 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 | 1112 | 2015 |
| 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 | 948 | 2017 |
| 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 | 735 | 2018 |
| Sign language recognition using convolutional neural networks L Pigou, S Dieleman, PJ Kindermans, B Schrauwen European conference on computer vision, 572-578, 2014 | 661 | 2014 |
| End-to-end learning for music audio S Dieleman, B Schrauwen 2014 IEEE international conference on acoustics, speech and signal …, 2014 | 581 | 2014 |
| Lasagne: First release. S Dieleman, J Schlüter, C Raffel, E Olson, S Kaae Sønderby, D Nouri, ... Zenodo, 2015 | 528* | 2015 |
| Self-supervised multimodal versatile networks JB Alayrac, A Recasens, R Schneider, R Arandjelović, J Ramapuram, ... Advances in neural information processing systems 33, 25-37, 2020 | 482 | 2020 |
| Exploiting cyclic symmetry in convolutional neural networks S Dieleman, J De Fauw, K Kavukcuoglu International conference on machine learning, 1889-1898, 2016 | 473 | 2016 |
| 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 | 362 | 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 | 358 | 2018 |
| 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 | 349 | 2020 |
| Generating images with sparse representations C Nash, J Menick, S Dieleman, PW Battaglia arXiv preprint arXiv:2103.03841, 2021 | 293 | 2021 |
| Reduce, reuse, recycle: Compositional generation with energy-based diffusion models and mcmc Y Du, C Durkan, R Strudel, JB Tenenbaum, S Dieleman, R Fergus, ... International conference on machine learning, 8489-8510, 2023 | 260 | 2023 |
Nal KalchbrennerGoogle DeepMindVerified email at google.com
