Richard Evans
Richard Evans
Research Scientist, DeepMind
Verified email at google.com
Title
Cited by
Cited by
Year
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
10462020
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
2902021
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
2722015
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
1582019
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
992018
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
742020
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
722021
Reinforcement learning in large discrete action spaces
G Dulac-Arnold, R Evans, P Sunehag, B Coppin
562015
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
242015
Reinforcement learning in a neurally controlled robot using dopamine modulated stdp
R Evans
arXiv preprint arXiv:1502.06096, 2015
102015
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
92020
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
6
Applying and improving AlphaFold at CASP14
J Jumper, R Evans, A Pritzel, T Green, M Figurnov, O Ronneberger, ...
Proteins: Structure, Function, and Bioinformatics, 2021
32021
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
22020
Protein complex prediction with AlphaFold-Multimer
R Evans, M O'Neill, A Pritzel, N Antropova, AW Senior, T Green, A Žídek, ...
bioRxiv, 2021
12021
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
2021
Optimizing data center controls using neural networks
RA Evans, J Gao, MC Ryan, G Dulac-Arnold, JK Scholz, TA Hester
US Patent App. 17/331,614, 2021
2021
Protein Structure Prediction from Amino Acid Sequences Using Self-Attention Neural Networks
J Jumper, AW Senior, RA Evans, RJ Bates, M Figurnov, A Pritzel, ...
US Patent App. 17/108,890, 2021
2021
Selecting actions from large discrete action sets using reinforcement learning
G Dulac-Arnold, RA Evans, BK Coppin
US Patent 10,885,432, 2021
2021
Optimizing data center controls using neural networks
RA Evans, J Gao, MC Ryan, G Dulac-Arnold, JK Scholz, TA Hester
US Patent App. 16/863,357, 2020
2020
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