| Highly accurate protein structure prediction with AlphaFold J Jumper, R Evans, A Pritzel, T Green, M Figurnov, O Ronneberger, ... Nature 596 (7873), 583-589, 2021 | 15061 | 2021 |
| 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 | 2611 | 2020 |
| 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 | 1572 | 2021 |
| 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 | 1051 | 2021 |
| Deep reinforcement learning in large discrete action spaces G Dulac-Arnold, R Evans, H van Hasselt, P Sunehag, T Lillicrap, J Hunt, ... arXiv preprint arXiv:1512.07679, 2015 | 608 | 2015 |
| 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 | 296 | 2019 |
| Applying and improving AlphaFold at CASP14 J Jumper, R Evans, A Pritzel, T Green, M Figurnov, O Ronneberger, ... Proteins: Structure, Function, and Bioinformatics 89 (12), 1711-1721, 2021 | 191 | 2021 |
| Deepmind ai reduces google data centre cooling bill by 40% R Evans, J Gao DeepMind blog 20, 158, 2016 | 159 | 2016 |
| High accuracy protein structure prediction using deep learning J Jumper, R Evans, A Pritzel, T Green, M Figurnov, K Tunyasuvunakool, ... Fourteenth critical assessment of techniques for protein structure …, 2020 | 141 | 2020 |
| 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 | 138 | 2018 |
| Deep reinforcement learning with attention for slate markov decision processes with high-dimensional states and actions P Sunehag, R Evans, G Dulac-Arnold, Y Zwols, D Visentin, B Coppin arXiv preprint arXiv:1512.01124, 2015 | 45 | 2015 |
| Deep reinforcement learning in large discrete action spaces. arXiv 2015 G Dulac-Arnold, R Evans, H van Hasselt, P Sunehag, T Lillicrap, J Hunt, ... arXiv preprint arXiv:1512.07679, 0 | 17 | |
| Augustin ˇZıdek, Alexander WR Nelson, Alex Bridgland, Hugo Penedones, Stig Petersen, Karen Simonyan, Steve Crossan, Pushmeet Kohli, David T. Jones, David Silver, Koray … AW Senior, R Evans, J Jumper, J Kirkpatrick, L Sifre, T Green, C Qin Nature 577 (7792), 706-710, 2020 | 16 | 2020 |
| AlphaFold 2 J Jumper, R Evans, A Pritzel, T Green, M Figurnov, K Tunyasuvunakool, ... Fourteenth Critical Assessment of Techniques for Protein Structure …, 2020 | 13 | 2020 |
| Reinforcement learning in a neurally controlled robot using dopamine modulated stdp R Evans arXiv preprint arXiv:1502.06096, 2015 | 12 | 2015 |
| Optimizing data center controls using neural networks RA Evans, J Gao, MC Ryan, G Dulac-Arnold, JK Scholz, TA Hester US Patent 10,643,121, 2020 | 10 | 2020 |
| Selecting actions from large discrete action sets using reinforcement learning G Dulac-Arnold, RA Evans, BK Coppin US Patent 10,885,432, 2021 | 6 | 2021 |
| Machine learning for determining protein structures AW Senior, J Kirkpatrick, L Sifre, RA Evans, H Penedones, C Qin, R Sun, ... US Patent App. 17/266,724, 2021 | 4 | 2021 |
| Predicting protein structures by sharing information between multiple sequence alignments and pair embeddings M Figurnov, A Pritzel, RA Evans, RJ Bates, O Ronneberger, S Kohl, ... US Patent App. 18/026,376, 2023 | | 2023 |
| БАЛАНСНО-ХАРАКТЕРИСТИЧЕСКИЕ МЕТОДЫ ДЛЯ ЗАДАЧ ВЫЧИСЛИТЕЛЬНОЙ ГИДРОДИНАМИКИ AW Senior, R Evans, J Jumper ББК 22.18 Л75 14, 121, 2022 | | 2022 |
