M
Michael Figurnov
Researcher at National Research University – Higher School of Economics
Publications - 22
Citations - 15287
Michael Figurnov is an academic researcher from National Research University – Higher School of Economics. The author has contributed to research in topics: Statistical model & Deep learning. The author has an hindex of 13, co-authored 22 publications receiving 1878 citations. Previous affiliations of Michael Figurnov include Google.
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Journal ArticleDOI
Highly accurate protein structure prediction with AlphaFold
John M. Jumper,Richard O. Evans,Alexander Pritzel,Tim Green,Michael Figurnov,Olaf Ronneberger,Kathryn Tunyasuvunakool,Russell Bates,Augustin Žídek,Anna Potapenko,Alex Bridgland,Clemens Meyer,Simon A. A. Kohl,Andrew J. Ballard,Andrew Cowie,Bernardino Romera-Paredes,Stanislav Nikolov,R. D. Jain,Jonas Adler,Trevor Back,Stig Petersen,David Reiman,Ellen Clancy,Michal Zielinski,Martin Steinegger,Michalina Pacholska,Tamas Berghammer,Sebastian Bodenstein,David L. Silver,Oriol Vinyals,Andrew W. Senior,Koray Kavukcuoglu,Pushmeet Kohli,Demis Hassabis +33 more
TL;DR: For example, AlphaFold as mentioned in this paper predicts protein structures with an accuracy competitive with experimental structures in the majority of cases using a novel deep learning architecture. But the accuracy is limited by the fact that no homologous structure is available.
Journal ArticleDOI
AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models.
Mihaly Varadi,Stephen Anyango,Mandar Deshpande,Sreenath Nair,Cindy Natassia,Galabina Yordanova,David Yu Yuan,Oana Stroe,Gemma Wood,Agata Laydon,Augustin Žídek,Tim Green,Kathryn Tunyasuvunakool,Stig Petersen,John M. Jumper,Ellen Clancy,Richard E. Green,Ankur Vora,Mira Lutfi,Michael Figurnov,Andrew Cowie,Nicole Hobbs,Pushmeet Kohli,Gerard J. Kleywegt,Ewan Birney,Demis Hassabis,Sameer Velankar +26 more
TL;DR: The AlphaFold Protein Structure Database (AlphaFold DB, https://alphafold.ebi.ac.uk) is an openly accessible, extensive database of high-accuracy protein-structure predictions.
Journal ArticleDOI
Highly accurate protein structure prediction for the human proteome
Kathryn Tunyasuvunakool,Jonas Adler,Zachary Wu,Tim Green,Michal Zielinski,Augustin Žídek,Alex Bridgland,Andrew Cowie,Clemens Meyer,Agata Laydon,Sameer Velankar,Gerard J. Kleywegt,Alex Bateman,Richard Evans,Alexander Pritzel,Michael Figurnov,Olaf Ronneberger,Russell Bates,Simon A. A. Kohl,Anna Potapenko,Andrew J. Ballard,Bernardino Romera-Paredes,Stanislav Nikolov,R. D. Jain,Ellen Clancy,David Reiman,Stig Petersen,Andrew W. Senior,Koray Kavukcuoglu,Ewan Birney,Pushmeet Kohli,John M. Jumper,Demis Hassabis +32 more
TL;DR: The AlphaFold2 dataset as discussed by the authors is a large-scale and high-accuracy structure prediction dataset for protein structures, which is used to evaluate the structural properties of proteins.
Proceedings ArticleDOI
Spatially Adaptive Computation Time for Residual Networks
Michael Figurnov,Maxwell D. Collins,Yukun Zhu,Li Zhang,Jonathan Huang,Dmitry Vetrov,Ruslan Salakhutdinov +6 more
TL;DR: Experimental results are presented showing that this model improves the computational efficiency of Residual Networks on the challenging ImageNet classification and COCO object detection datasets and the computation time maps on the visual saliency dataset cat2000 correlate surprisingly well with human eye fixation positions.
Journal Article
Monte Carlo Gradient Estimation in Machine Learning
TL;DR: A broad and accessible survey of the methods for Monte Carlo gradient estimation in machine learning and across the statistical sciences can be found in this article, where the authors explore three strategies: pathwise, score function, and measure-valued gradient estimators.