| 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 | 189 | 2017 |
| Perforatedcnns: Acceleration through elimination of redundant convolutions M Figurnov, A Ibraimova, D Vetrov, P Kohli arXiv preprint arXiv:1504.08362, 2015 | 128 | 2015 |
| Implicit reparameterization gradients M Figurnov, S Mohamed, A Mnih arXiv preprint arXiv:1805.08498, 2018 | 114 | 2018 |
| 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 | 74 | 2020 |
| Variational autoencoder with arbitrary conditioning O Ivanov, M Figurnov, D Vetrov arXiv preprint arXiv:1806.02382, 2018 | 44 | 2018 |
| Computational predictions of protein structures associated with COVID-19 J Jumper, K Tunyasuvunakool, P Kohli, D Hassabis, A Team DeepMind website, 2020 | 36* | 2020 |
| Tensor Train Decomposition on TensorFlow (T3F). A Novikov, P Izmailov, V Khrulkov, M Figurnov, IV Oseledets Journal of Machine Learning Research 21 (30), 1-7, 2020 | 15 | 2020 |
| 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 | 13 | 2020 |
| Probabilistic adaptive computation time M Figurnov, A Sobolev, D Vetrov arXiv preprint arXiv:1712.00386, 2017 | 6 | 2017 |
| 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 | 6 | 2012 |
| Robust variational inference M Figurnov, K Struminsky, D Vetrov arXiv preprint arXiv:1611.09226, 2016 | 2 | 2016 |
| Measure-valued derivatives for approximate Bayesian inference M Rosca, M Figurnov, S Mohamed, A Mnih NeurIPS Workshop on Approximate Bayesian Inference, 2019 | 1 | 2019 |
| Устойчивый к шуму метод обучения вариационного автокодировщика МВ Фигурнов, КА Струминский, ДП Ветров Интеллектуальные системы. Теория и приложения 21 (2), 90-109, 2017 | 1 | 2017 |
| Entropy Estimates for Generative Models K Struminsky, M Figurnov, D Vetrov | | 2018 |
| Universal Conditional Machine. O Ivanov, M Figurnov, DP Vetrov CoRR, 2018 | | 2018 |
Dmitry VetrovHigher School of Economics, Samsung AI Center, MoscowVerified email at hse.ru
