PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions. - Michael Figurnov; Dmitry P. Vetrov; Pushmeet Kohli (CoRR, 2015)

PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions. - Mikhail Figurnov; Aizhan Ibraimova; Dmitry P. Vetrov; Pushmeet Kohli (NIPS, 2016)

Robust Variational Inference. - Michael Figurnov; Kirill Struminsky; Dmitry P. Vetrov (CoRR, 2016)

Spatially Adaptive Computation Time for Residual Networks. - Michael Figurnov; Maxwell D. Collins; Yukun Zhu; Li Zhang 003; Jonathan Huang; Dmitry P. Vetrov; Ruslan Salakhutdinov (CVPR, 2017)

Probabilistic Adaptive Computation Time. - Michael Figurnov; Artem Sobolev; Dmitry P. Vetrov (CoRR, 2017)

Implicit Reparameterization Gradients. - Mikhail Figurnov; Shakir Mohamed; Andriy Mnih (NeurIPS, 2018)

Universal Conditional Machine. - Oleg Ivanov; Michael Figurnov; Dmitry P. Vetrov (CoRR, 2018)

Variational Autoencoder with Arbitrary Conditioning. - Oleg Ivanov; Michael Figurnov; Dmitry P. Vetrov (ICLR (Poster), 2019)

Monte Carlo Gradient Estimation in Machine Learning. - Shakir Mohamed; Mihaela Rosca; Michael Figurnov; Andriy Mnih (J. Mach. Learn. Res., 2020)

Tensor Train Decomposition on TensorFlow (T3F). - Alexander Novikov 001; Pavel Izmailov; Valentin Khrulkov; Michael Figurnov; Ivan V. Oseledets (J. Mach. Learn. Res., 2020)

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; et al. (Nucleic Acids Res., 2022)