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Journal Articles
- 2022
[j3]Mihaly Varadi
, Stephen Anyango, Mandar S. Deshpande, Sreenath Nair, Cindy Natassia, Galabina Yordanova, David Yuan, Oana Stroe, Gemma Wood, Agata Laydon, Augustin Zídek, Tim Green, Kathryn Tunyasuvunakool, Stig Petersen, John Jumper, Ellen Clancy, Richard Green, Ankur Vora, Mira Lutfi, Michael Figurnov, Andrew Cowie, Nicole Hobbs, Pushmeet Kohli, Gerard J. Kleywegt, Ewan Birney, Demis Hassabis, Sameer Velankar:
AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models. Nucleic Acids Res. 50(D1): 439-444 (2022)- 2020
- [j2]Alexander Novikov, Pavel Izmailov, Valentin Khrulkov, Michael Figurnov, Ivan V. Oseledets:
Tensor Train Decomposition on TensorFlow (T3F). J. Mach. Learn. Res. 21: 30:1-30:7 (2020) - [j1]Shakir Mohamed, Mihaela Rosca, Michael Figurnov, Andriy Mnih:
Monte Carlo Gradient Estimation in Machine Learning. J. Mach. Learn. Res. 21: 132:1-132:62 (2020)
Conference and Workshop Papers
- 2019
- [c4]Oleg Ivanov, Michael Figurnov, Dmitry P. Vetrov:
Variational Autoencoder with Arbitrary Conditioning. ICLR (Poster) 2019 - 2018
- [c3]Mikhail Figurnov, Shakir Mohamed, Andriy Mnih:
Implicit Reparameterization Gradients. NeurIPS 2018: 439-450 - 2017
- [c2]Michael Figurnov, Maxwell D. Collins, Yukun Zhu, Li Zhang, Jonathan Huang, Dmitry P. Vetrov, Ruslan Salakhutdinov:
Spatially Adaptive Computation Time for Residual Networks. CVPR 2017: 1790-1799 - 2016
- [c1]Mikhail Figurnov, Aizhan Ibraimova, Dmitry P. Vetrov, Pushmeet Kohli:
PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions. NIPS 2016: 947-955
Informal and Other Publications
- 2019
- [i8]Shakir Mohamed, Mihaela Rosca, Michael Figurnov, Andriy Mnih:
Monte Carlo Gradient Estimation in Machine Learning. CoRR abs/1906.10652 (2019) - 2018
- [i7]Alexander Novikov, Pavel Izmailov, Valentin Khrulkov, Michael Figurnov, Ivan V. Oseledets:
Tensor Train decomposition on TensorFlow (T3F). CoRR abs/1801.01928 (2018) - [i6]Michael Figurnov, Shakir Mohamed, Andriy Mnih:
Implicit Reparameterization Gradients. CoRR abs/1805.08498 (2018) - [i5]Oleg Ivanov, Michael Figurnov, Dmitry P. Vetrov:
Universal Conditional Machine. CoRR abs/1806.02382 (2018) - 2017
- [i4]Michael Figurnov, Artem Sobolev, Dmitry P. Vetrov:
Probabilistic Adaptive Computation Time. CoRR abs/1712.00386 (2017) - 2016
- [i3]Michael Figurnov, Kirill Struminsky, Dmitry P. Vetrov:
Robust Variational Inference. CoRR abs/1611.09226 (2016) - [i2]Michael Figurnov, Maxwell D. Collins, Yukun Zhu, Li Zhang, Jonathan Huang, Dmitry P. Vetrov, Ruslan Salakhutdinov:
Spatially Adaptive Computation Time for Residual Networks. CoRR abs/1612.02297 (2016) - 2015
- [i1]Michael Figurnov, Dmitry P. Vetrov, Pushmeet Kohli:
PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions. CoRR abs/1504.08362 (2015)
Coauthor Index
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