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Stig Petersen
Stig Petersen
DeepMind
Verified email at google.com
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Cited by
Cited by
Year
Human-level control through deep reinforcement learning
V Mnih, K Kavukcuoglu, D Silver, AA Rusu, J Veness, MG Bellemare, ...
nature 518 (7540), 529-533, 2015
209382015
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
54272021
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
18682020
Starcraft ii: A new challenge for reinforcement learning
O Vinyals, T Ewalds, S Bartunov, P Georgiev, AS Vezhnevets, M Yeo, ...
arXiv preprint arXiv:1708.04782, 2017
7592017
Highly accurate protein structure prediction for the human proteome
K Tunyasuvunakool, J Adler, Z Wu, T Green, M Zielinski, A ŽŪdek, ...
Nature 596 (7873), 590-596, 2021
7582021
AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models
M Varadi, S Anyango, M Deshpande, S Nair, C Natassia, G Yordanova, ...
Nucleic acids research 50 (D1), D439-D444, 2022
6122022
Massively parallel methods for deep reinforcement learning
A Nair, P Srinivasan, S Blackwell, C Alcicek, R Fearon, A De Maria, ...
arXiv preprint arXiv:1507.04296, 2015
4842015
Vector-based navigation using grid-like representations in artificial agents
A Banino, C Barry, B Uria, C Blundell, T Lillicrap, P Mirowski, A Pritzel, ...
Nature 557 (7705), 429-433, 2018
4772018
Deepmind lab
C Beattie, JZ Leibo, D Teplyashin, T Ward, M Wainwright, H KŁttler, ...
arXiv preprint arXiv:1612.03801, 2016
4302016
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
2242019
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
1262018
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
1132020
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
742021
Pushing the frontiers of density functionals by solving the fractional electron problem
J Kirkpatrick, B McMorrow, DHP Turban, AL Gaunt, JS Spencer, ...
Science 374 (6573), 1385-1389, 2021
732021
Spectral Inference Networks: Unifying Spectral Methods With Deep Learning.
D Pfau, S Petersen, A Agarwal, DGT Barrett, KL Stachenfeld
21*2018
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
Vector-based Navigation using Grid-like Representations in Artificial Agents.
A Pritzel, A Banino, B Uria, BC Zhang, C Barry, C Blundell, C Beattie, ...
22018
Response to Comment on “Pushing the frontiers of density functionals by solving the fractional electron problem”
J Kirkpatrick, B McMorrow, DHP Turban, AL Gaunt, JS Spencer, ...
Science 377 (6606), eabq4282, 2022
2022
Training spectral inference neural networks using bilevel optimization
DB Pfau, S Petersen, A Agarwal, D Barrett, K Stachenfeld
US Patent App. 16/972,491, 2021
2021
Discriminating alpha-synuclein strains in Parkinson's disease and multiple system atrophy
AW Senior, R Evans, J Jumper, J Kirkpatrick, L Sifre, T Green, C Qin, ...
2020
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Articles 1–20