| Highly accurate protein structure prediction with AlphaFold J Jumper, R Evans, A Pritzel, T Green, M Figurnov, O Ronneberger, ... Nature 596 (7873), 583-589, 2021 | 23396 | 2021 |
| AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models M Varadi, S Anyango, M Deshpande, S Nair, C Natassia, G Yordanova, ... Nucleic acids research 50 (D1), D439-D444, 2022 | 4585 | 2022 |
| Highly accurate protein structure prediction for the human proteome K Tunyasuvunakool, J Adler, Z Wu, T Green, M Zielinski, A Žídek, ... Nature 596 (7873), 590-596, 2021 | 2110 | 2021 |
| 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 | 444 | 2020 |
| 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 | 388 | 2017 |
| Applying and improving AlphaFold at CASP14 J Jumper, R Evans, A Pritzel, T Green, M Figurnov, O Ronneberger, ... Proteins: Structure, Function, and Bioinformatics 89 (12), 1711-1721, 2021 | 283 | 2021 |
| Implicit reparameterization gradients M Figurnov, S Mohamed, A Mnih NeurIPS 2018, 2018 | 258 | 2018 |
| Perforatedcnns: Acceleration through elimination of redundant convolutions M Figurnov, A Ibraimova, DP Vetrov, P Kohli Advances in neural information processing systems 29, 2016 | 188 | 2016 |
| 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 | 160 | 2020 |
| Variational autoencoder with arbitrary conditioning O Ivanov, M Figurnov, D Vetrov ICLR 2019, 2018 | 156 | 2018 |
| AlphaFold 2 J Jumper, R Evans, A Pritzel, T Green, M Figurnov, K Tunyasuvunakool, ... Fourteenth Critical Assessment of Techniques for Protein Structure Prediction, 2020 | 105* | 2020 |
| Highly accurate protein structure prediction with AlphaFold., 2021, 596 J Jumper, R Evans, A Pritzel, T Green, M Figurnov, O Ronneberger, ... DOI: https://doi. org/10.1038/s41586-021-03819-2, 583-589, 0 | 101 | |
| Tensor train decomposition on tensorflow (t3f) A Novikov, P Izmailov, V Khrulkov, M Figurnov, I Oseledets Journal of Machine Learning Research 21 (30), 1-7, 2020 | 63 | 2020 |
| Accurate structure prediction of biomolecular interactions with AlphaFold 3 J Abramson, J Adler, J Dunger, R Evans, T Green, A Pritzel, ... Nature, 1-3, 2024 | 62 | 2024 |
| 861 Tunyasuvunakool J Jumper, R Evans, A Pritzel, T Green, M Figurnov, O Ronneberger K., Bates, R., Žídek, A., Potapenko, A., et al 862, 2021 | 61 | 2021 |
| Probabilistic adaptive computation time M Figurnov, A Sobolev, D Vetrov Bulletin of the Polish Academy of Sciences. Technical Sciences 66 (6), 811-820, 2018 | 9 | 2018 |
| 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 | 7 | 2012 |
| Measure-valued derivatives for approximate bayesian inference M Rosca, M Figurnov, S Mohamed, A Mnih NeurIPS Workshop on Approximate Bayesian Inference, 2019 | 4 | 2019 |
| Устойчивый к шуму метод обучения вариационного автокодировщика МВ Фигурнов, КА Струминский, ДП Ветров Интеллектуальные системы. Теория и приложения 21 (2), 90-109, 2017 | 2 | 2017 |
| Robust variational inference M Figurnov, K Struminsky, D Vetrov arXiv preprint arXiv:1611.09226, 2016 | 2 | 2016 |
Dmitry VetrovProfessor of Computer Science at Constructor University, Bremen在 constructor.university 的电子邮件经过验证
