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Richard Evans
Richard Evans
Research Scientist, DeepMind
Verified email at google.com
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Cited by
Cited by
Year
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
44772021
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
17692020
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
6802021
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
4492015
Protein complex prediction with AlphaFold-Multimer
R Evans, M O'Neill, A Pritzel, N Antropova, AW Senior, T Green, A Žídek, ...
BioRxiv, 2021
2592021
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
2172019
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
1232018
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
1082020
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
642021
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
352015
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
132020
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
12
Reinforcement learning in a neurally controlled robot using dopamine modulated stdp
R Evans
arXiv preprint arXiv:1502.06096, 2015
102015
AlphaFold 2
J Jumper, R Evans, A Pritzel, T Green, M Figurnov, K Tunyasuvunakool, ...
In Fourteenth Critical Assessment of Techniques for Protein Structure …, 2020
62020
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
42020
Selecting actions from large discrete action sets using reinforcement learning
G Dulac-Arnold, RA Evans, BK Coppin
US Patent 10,885,432, 2021
22021
БАЛАНСНО-ХАРАКТЕРИСТИЧЕСКИЕ МЕТОДЫ ДЛЯ ЗАДАЧ ВЫЧИСЛИТЕЛЬНОЙ ГИДРОДИНАМИКИ
AW Senior, R Evans, J Jumper
ББК 22.18 Л75 14, 121, 2022
2022
Machine learning for determining protein structures
AW Senior, J Kirkpatrick, L Sifre, RA Evans, H Penedones, C Qin, R Sun, ...
US Patent App. 17/266,689, 2021
2021
Protein structure prediction using geometric attention neural networks
J Jumper, AW Senior, RA Evans, S Gouws, A Bridgland
US Patent App. 16/701,070, 2021
2021
Machine learning for determining protein structures
AW Senior, J Kirkpatrick, L Sifre, RA Evans, H Penedones, C Qin, R Sun, ...
US Patent App. 17/265,708, 2021
2021
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