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| Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups G Hinton, L Deng, D Yu, GE Dahl, A Mohamed, N Jaitly, A Senior, ... IEEE Signal processing magazine 29 (6), 82-97, 2012 | 15116 | 2012 |
| 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 | 8883 | 2016 |
| Large Scale Distributed Deep Networks AYN Jeffrey Dean, Greg S. Corrado, Rajat Monga, Kai NIPS, 2012 | 5587* | 2012 |
| Improved protein structure prediction using potentials from deep learning AW Senior, R Evans, J Jumper, J Kirkpatrick, L Sifre, T Green, C Qin, ... Nature 577 (7792), 706-710, 2020 | 4212 | 2020 |
| Protein complex prediction with AlphaFold-Multimer R Evans, M O’Neill, A Pritzel, N Antropova, A Senior, T Green, A Žídek, ... biorxiv, 2021.10. 04.463034, 2021 | 3749 | 2021 |
| Long short-term memory recurrent neural network architectures for large scale acoustic modeling. H Sak, AW Senior, F Beaufays Interspeech 2014, 338-342, 2014 | 3581 | 2014 |
| Highly accurate protein structure prediction for the human proteome K Tunyasuvunakool, J Adler, Z Wu, T Green, M Zielinski, A Žídek, ... Nature 596 (7873), 590-596, 2021 | 3123 | 2021 |
| Convolutional, long short-term memory, fully connected deep neural networks TN Sainath, O Vinyals, A Senior, H Sak 2015 IEEE international conference on acoustics, speech and signal …, 2015 | 2293 | 2015 |
| Accurate proteome-wide missense variant effect prediction with AlphaMissense J Cheng, G Novati, J Pan, C Bycroft, A Žemgulytė, T Applebaum, A Pritzel, ... Science 381 (6664), eadg7492, 2023 | 1737 | 2023 |
| Long short-term memory based recurrent neural network architectures for large vocabulary speech recognition H Sak, A Senior, F Beaufays arXiv preprint arXiv:1402.1128, 2014 | 1713 | 2014 |
| Guide to biometrics RM Bolle, JH Connell, S Pankanti, NK Ratha, AW Senior Springer Science & Business Media, 2013 | 1297 | 2013 |
| Statistical parametric speech synthesis using deep neural networks H Zen, A Senior, M Schuster Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International …, 2013 | 1218 | 2013 |
| Deep audio-visual speech recognition T Afouras, JS Chung, A Senior, O Vinyals, A Zisserman IEEE transactions on pattern analysis and machine intelligence 44 (12), 8717 …, 2018 | 1179 | 2018 |
| Lip reading sentences in the wild J Son Chung, A Senior, O Vinyals, A Zisserman Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1178 | 2017 |
| Improving the speed of neural networks on CPUs V Vanhoucke, A Senior, MZ Mao Advances in Neural Information Processing Systems, 2011 | 1144 | 2011 |
| Recent advances in the automatic recognition of audiovisual speech G Potamianos, C Neti, G Gravier, A Garg, AW Senior Proceedings of the IEEE 91 (9), 1306-1326, 2003 | 996 | 2003 |
| On rectified linear units for speech processing MD Zeiler, M Ranzato, R Monga, M Mao, K Yang, QV Le, P Nguyen, ... 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 814 | 2013 |
| Quantum error correction below the surface code threshold Nature 638 (8052), 920-926, 2025 | 730 | 2025 |
| Learning the speech front-end with raw waveform CLDNNs. TN Sainath, RJ Weiss, AW Senior, KW Wilson, O Vinyals Interspeech, 1-5, 2015 | 662 | 2015 |
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