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Michael Figurnov
Michael Figurnov
DeepMind
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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
297402021
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
57612022
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
24072021
Accurate structure prediction of biomolecular interactions with AlphaFold 3
J Abramson, J Adler, J Dunger, R Evans, T Green, A Pritzel, ...
Nature, 1-3, 2024
16032024
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
5242020
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
4082017
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
3372021
Implicit reparameterization gradients
M Figurnov, S Mohamed, A Mnih
NeurIPS 2018, 2018
2822018
Perforatedcnns: Acceleration through elimination of redundant convolutions
M Figurnov, A Ibraimova, DP Vetrov, P Kohli
Advances in neural information processing systems 29, 2016
1942016
Variational autoencoder with arbitrary conditioning
O Ivanov, M Figurnov, D Vetrov
ICLR 2019, 2018
1702018
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
163
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
1572020
AlphaFold 2
J Jumper, R Evans, A Pritzel, T Green, M Figurnov, K Tunyasuvunakool, ...
Fourteenth Critical Assessment of Techniques for Protein Structure Prediction, 2020
109*2020
This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence. A. Cowie, B. Romera-Paredes, S. Nikolov, R. Jain, J
J Jumper, R Evans, A Pritzel, T Green, M Figurnov, O Ronneberger, ...
Adler, T. Back, S. Petersen, D. Reiman, E. Clancy, M. Zielinski, M …, 2021
732021
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
722020
861 Tunyasuvunakool
J Jumper, R Evans, A Pritzel, T Green, M Figurnov, O Ronneberger
K., Bates, R., Žídek, A., Potapenko, A., et al 862, 2021
132021
Probabilistic adaptive computation time
M Figurnov, A Sobolev, D Vetrov
arXiv preprint arXiv:1712.00386, 2017
112017
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
72012
Measure-valued derivatives for approximate bayesian inference
M Rosca, M Figurnov, S Mohamed, A Mnih
NeurIPS Workshop on Approximate Bayesian Inference, 2019
42019
Robust variational inference
M Figurnov, K Struminsky, D Vetrov
arXiv preprint arXiv:1611.09226, 2016
32016
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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