Michael Figurnov

According to our database, Michael Figurnov authored at least 11 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models.

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

Nucleic Acids Res., 2022

2020

Tensor Train Decomposition on TensorFlow (T3F).

Alexander Novikov, Pavel Izmailov, Valentin Khrulkov, Michael Figurnov, Ivan V. Oseledets

J. Mach. Learn. Res., 2020

Monte Carlo Gradient Estimation in Machine Learning.

Shakir Mohamed, Mihaela Rosca, Michael Figurnov, Andriy Mnih

J. Mach. Learn. Res., 2020

2019

Variational Autoencoder with Arbitrary Conditioning.

Oleg Ivanov, Michael Figurnov, Dmitry P. Vetrov

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Universal Conditional Machine.

Oleg Ivanov, Michael Figurnov, Dmitry P. Vetrov

CoRR, 2018

Implicit Reparameterization Gradients.

Mikhail Figurnov, Shakir Mohamed, Andriy Mnih

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Probabilistic Adaptive Computation Time.

Michael Figurnov, Artem Sobolev, Dmitry P. Vetrov

CoRR, 2017

Spatially Adaptive Computation Time for Residual Networks.

Michael Figurnov, Maxwell D. Collins, Yukun Zhu, Li Zhang, Jonathan Huang, Dmitry P. Vetrov, Ruslan Salakhutdinov

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Robust Variational Inference.

Michael Figurnov, Kirill Struminsky, Dmitry P. Vetrov

CoRR, 2016

PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions.

Mikhail Figurnov, Aizhan Ibraimova, Dmitry P. Vetrov, Pushmeet Kohli

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions.

Michael Figurnov, Dmitry P. Vetrov, Pushmeet Kohli

CoRR, 2015