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Andy Ballard
Andy Ballard
DeepMind
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Title
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
150612021
Relational inductive biases, deep learning, and graph networks
PW Battaglia, JB Hamrick, V Bapst, A Sanchez-Gonzalez, V Zambaldi, ...
arXiv preprint arXiv:1806.01261, 2018
29612018
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
15722021
Learning to navigate in complex environments
P Mirowski, R Pascanu, F Viola, H Soyer, AJ Ballard, A Banino, M Denil, ...
arXiv preprint arXiv:1611.03673, 2016
8772016
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
1912021
Relational inductive biases, deep learning, and graph networks. arXiv 2018
PW Battaglia, JB Hamrick, V Bapst, A Sanchez-Gonzalez, V Zambaldi, ...
arXiv preprint arXiv:1806.01261, 2018
1462018
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
1412020
Energy landscapes for machine learning
AJ Ballard, R Das, S Martiniani, D Mehta, L Sagun, JD Stevenson, ...
Physical Chemistry Chemical Physics 19 (20), 12585-12603, 2017
1112017
Increased tolerance to oxygen and glucose deprivation in astrocytes from Na+/H+ exchanger isoform 1 null mice
DB Kintner, G Su, B Lenart, AJ Ballard, JW Meyer, LL Ng, GE Shull, D Sun
American Journal of Physiology-Cell Physiology 287 (1), C12-C21, 2004
1102004
Intrinsically disordered energy landscapes
Y Chebaro, AJ Ballard, D Chakraborty, DJ Wales
Scientific reports 5 (1), 10386, 2015
962015
Metacontrol for adaptive imagination-based optimization
JB Hamrick, AJ Ballard, R Pascanu, O Vinyals, N Heess, PW Battaglia
arXiv preprint arXiv:1705.02670, 2017
732017
Role of Na+-K+-Cl cotransport and Na+/Ca2+ exchange in mitochondrial dysfunction in astrocytes following in vitro ischemia
DB Kintner, J Luo, J Gerdts, AJ Ballard, GE Shull, D Sun
American Journal of Physiology-Cell Physiology 292 (3), C1113-C1122, 2007
732007
Replica exchange with nonequilibrium switches
AJ Ballard, C Jarzynski
Proceedings of the National Academy of Sciences 106 (30), 12224-12229, 2009
672009
Targeted free energy estimation via learned mappings
P Wirnsberger, AJ Ballard, G Papamakarios, S Abercrombie, S Racanière, ...
The Journal of Chemical Physics 153 (14), 2020
662020
Toward the mechanism of ionic dissociation in water
AJ Ballard, C Dellago
The Journal of Physical Chemistry B 116 (45), 13490-13497, 2012
632012
Relational inductive biases, deep learning, and graph networks (2018)
PW Battaglia, JB Hamrick, V Bapst, A Sanchez-Gonzalez, V Zambaldi, ...
arXiv preprint arXiv:1806.01261, 1806
611806
Unsupervised doodling and painting with improved spiral
JFJ Mellor, E Park, Y Ganin, I Babuschkin, T Kulkarni, D Rosenbaum, ...
arXiv preprint arXiv:1910.01007, 2019
492019
Exploiting the potential energy landscape to sample free energy
AJ Ballard, S Martiniani, JD Stevenson, S Somani, DJ Wales
Wiley Interdisciplinary Reviews: Computational Molecular Science 5 (3), 273-289, 2015
312015
Energy landscapes for a machine learning application to series data
AJ Ballard, JD Stevenson, R Das, DJ Wales
The Journal of chemical physics 144 (12), 2016
292016
Rapid training of deep neural networks without skip connections or normalization layers using deep kernel shaping
J Martens, A Ballard, G Desjardins, G Swirszcz, V Dalibard, ...
arXiv preprint arXiv:2110.01765, 2021
282021
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Articles 1–20