| 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 | 13177 | 2016 |
| Mastering the game of go without human knowledge D Silver, J Schrittwieser, K Simonyan, I Antonoglou, A Huang, A Guez, ... nature 550 (7676), 354-359, 2017 | 7244 | 2017 |
| A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play D Silver, T Hubert, J Schrittwieser, I Antonoglou, M Lai, A Guez, M Lanctot, ... Science 362 (6419), 1140-1144, 2018 | 2278 | 2018 |
| Grandmaster level in StarCraft II using multi-agent reinforcement learning O Vinyals, I Babuschkin, WM Czarnecki, M Mathieu, A Dudzik, J Chung, ... Nature 575 (7782), 350-354, 2019 | 1857 | 2019 |
| 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 | 1603 | 2020 |
| Mastering chess and shogi by self-play with a general reinforcement learning algorithm D Silver, T Hubert, J Schrittwieser, I Antonoglou, M Lai, A Guez, M Lanctot, ... arXiv preprint arXiv:1712.01815, 2017 | 1347 | 2017 |
| Mastering atari, go, chess and shogi by planning with a learned model J Schrittwieser, I Antonoglou, T Hubert, K Simonyan, L Sifre, S Schmitt, ... Nature 588 (7839), 604-609, 2020 | 843 | 2020 |
| Learning to navigate in complex environments P Mirowski, R Pascanu, F Viola, H Soyer, A Ballard, A Banino, M Denil, ... International Conference on Learning Representations (ICLR) 2017, 2017 | 711 | 2017 |
| Rigid-motion scattering for texture classification L Sifre, S Mallat arXiv preprint arXiv:1403.1687, 2014 | 553 | 2014 |
| Rotation, scaling and deformation invariant scattering for texture discrimination L Sifre, S Mallat Computer Vision and Pattern Recognition (CVPR) 2013, 1233-1240, 2013 | 427 | 2013 |
| Alphastar: Mastering the real-time strategy game starcraft ii O Vinyals, I Babuschkin, J Chung, M Mathieu, M Jaderberg, ... DeepMind blog 2, 2019 | 413 | 2019 |
| Protein structure prediction using multiple deep neural networks in the 13th Critical Assessment of Protein Structure Prediction (CASP13) AW Senior, R Evans, J Jumper, J Kirkpatrick, L Sifre, T Green, C Qin, ... Proteins: Structure, Function, and Bioinformatics 87 (12), 1141-1148, 2019 | 205 | 2019 |
| De novo structure prediction with deeplearning based scoring R Evans, J Jumper, J Kirkpatrick, L Sifre, T Green, C Qin, A Zidek, ... Annu Rev Biochem 77 (363-382), 6, 2018 | 112 | 2018 |
| Combined scattering for rotation invariant texture analysis L Sifre, S Mallat European Symposium on Artificial Neural Networks (ESANN) 2012, 2012 | 71 | 2012 |
| Scaling language models: Methods, analysis & insights from training gopher JW Rae, S Borgeaud, T Cai, K Millican, J Hoffmann, F Song, J Aslanides, ... arXiv preprint arXiv:2112.11446, 2021 | 54 | 2021 |
| Generic Deep Networks with Wavelet Scattering E Oyallon, S Mallat, L Sifre International Conference on Learning Representations (ICLR) 2014 Workshop track, 2014 | 41 | 2014 |
| Scatnet J Andén, L Sifre, S Mallat, M Kapoko, V Lostanlen, E Oyallon Computer Software, 2014 | 24* | 2014 |
| Muesli: Combining improvements in policy optimization M Hessel, I Danihelka, F Viola, A Guez, S Schmitt, L Sifre, T Weber, ... International Conference on Machine Learning, 4214-4226, 2021 | 20 | 2021 |
| Training a policy neural network and a value neural network TKH Graepel, SC Huang, D Silver, AC Guez, L Sifre, I Sutskever, ... US Patent App. 15/280,711, 2018 | 19 | 2018 |
| Improving language models by retrieving from trillions of tokens S Borgeaud, A Mensch, J Hoffmann, T Cai, E Rutherford, K Millican, ... arXiv preprint arXiv:2112.04426, 2021 | 14 | 2021 |
David SilverDeepMind, UCLVerified email at google.com
