| Geoopt: Riemannian optimization in pytorch M Kochurov, R Karimov, S Kozlukov arXiv preprint arXiv:2005.02819, 2020 | 77 | 2020 |
| Bayesian incremental learning for deep neural networks M Kochurov, T Garipov, D Podoprikhin, D Molchanov, A Ashukha, ... arXiv preprint arXiv:1802.07329, 2018 | 21 | 2018 |
| User-controllable multi-texture synthesis with generative adversarial networks A Alanov, M Kochurov, D Volkhonskiy, D Yashkov, E Burnaev, D Vetrov arXiv preprint arXiv:1904.04751, 2019 | 10 | 2019 |
| Geoopt: Adaptive riemannian optimization in pytorch M Kochurov, S Kozlukov, R Karimov, V Yanush | 8 | 2019 |
| pymc-devs/pymc: v5. 6.1 T Wiecki, J Salvatier, R Vieira, M Kochurov, A Patil, M Osthege, BT Willard, ... Zenodo. July, 2023 | 6 | 2023 |
| rpgoldman, L T Wiecki, J Salvatier, A Patil, M Kochurov, R Vieira, B Engels, J Lao, ... Paz, K. Meyer, P. Coyle, ME Gorelli, R. Kumar, O. Abril-Pla, T. Yoshioka, G …, 2022 | 5 | 2022 |
| Pymc‐devs/pymc: v4. 0.0 b2 T Wiecki, J Salvatier, A Patil, M Kochurov, B Engels, J Lao, O Colin Martin, ... Zenodo, 2022 | 5 | 2022 |
| Pymc4: Exploiting coroutines for implementing a probabilistic programming framework M Kochurov, C Carroll, T Wiecki, J Lao Program Transformations for ML Workshop at NeurIPS 2019, 2019 | 5 | 2019 |
| Are hyperbolic representations in graphs created equal? M Kochurov, S Ivanov, E Burnaev arXiv preprint arXiv:2007.07698, 2020 | 4 | 2020 |
| Pairwise augmented gans with adversarial reconstruction loss A Alanov, M Kochurov, D Yashkov, D Vetrov arXiv preprint arXiv:1810.04920, 2018 | 3 | 2018 |
| Implicit λ-Jeffreys Autoencoders: Taking the Best of Both Worlds A Alanov, M Kochurov, A Sobolev, D Yashkov, D Vetrov | | 2019 |
| Income and Turnout: Is It True That Better off Regions Are Less Involved in Election Process? A Chernichin, P Kabeshov, M Kochurov, E Kortelev, M Zlatnikova Available at SSRN 3020665, 2017 | | 2017 |
