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Michael Figurnov
Michael Figurnov
DeepMind
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Title
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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
208112021
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
40402022
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
19572021
Monte carlo gradient estimation in machine learning
S Mohamed, M Rosca, M Figurnov, A Mnih
Journal of Machine Learning Research 21 (132), 1-62, 2020
4142020
Spatially adaptive computation time for residual networks
M Figurnov, MD Collins, Y Zhu, L Zhang, J Huang, D Vetrov, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2017
3732017
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
2552021
Implicit reparameterization gradients
M Figurnov, S Mohamed, A Mnih
NeurIPS 2018, 2018
2472018
Perforatedcnns: Acceleration through elimination of redundant convolutions
M Figurnov, A Ibraimova, DP Vetrov, P Kohli
Advances in neural information processing systems 29, 2016
1862016
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
1512020
Variational autoencoder with arbitrary conditioning
O Ivanov, M Figurnov, D Vetrov
ICLR 2019, 2018
1472018
AlphaFold 2
J Jumper, R Evans, A Pritzel, T Green, M Figurnov, K Tunyasuvunakool, ...
Fourteenth Critical Assessment of Techniques for Protein Structure Prediction, 2020
99*2020
Highly accurate protein structure prediction with AlphaFold., 2021, 596
J Jumper, R Evans, A Pritzel, T Green, M Figurnov, O Ronneberger, ...
DOI: https://doi. org/10.1038/s41586-021-03819-2, 583-589, 0
98
Tensor train decomposition on tensorflow (t3f)
A Novikov, P Izmailov, V Khrulkov, M Figurnov, I Oseledets
Journal of Machine Learning Research 21 (30), 1-7, 2020
622020
Probabilistic adaptive computation time
M Figurnov, A Sobolev, D Vetrov
Bulletin of the Polish Academy of Sciences. Technical Sciences 66 (6), 811-820, 2018
82018
Linear combination of random forests for the Relevance Prediction Challenge
M Figurnov, A Kirillov
Proc. of Int. Conf. on Web Service and Data Mining workshop on Web Search …, 2012
62012
Measure-valued derivatives for approximate bayesian inference
M Rosca, M Figurnov, S Mohamed, A Mnih
NeurIPS Workshop on Approximate Bayesian Inference, 2019
42019
Устойчивый к шуму метод обучения вариационного автокодировщика
МВ Фигурнов, КА Струминский, ДП Ветров
Интеллектуальные системы. Теория и приложения 21 (2), 90-109, 2017
22017
Robust variational inference
M Figurnov, K Struminsky, D Vetrov
arXiv preprint arXiv:1611.09226, 2016
22016
Universal Conditional Machine
O Ivanov, M Figurnov, DP Vetrov
ArXiv abs/1806.02382, 2018
12018
Predicting protein structures using protein graphs
A Pritzel, M Figurnov, J Jumper
US Patent App. 18/034,989, 2023
2023
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Articles 1–20