| Structured bayesian pruning via log-normal multiplicative noise K Neklyudov, D Molchanov, A Ashukha, DP Vetrov Advances in Neural Information Processing Systems, 6775-6784, 2017 | 46 | 2017 |
| Performance of Machine Learning Algorithms in Predicting Game Outcome from Drafts in Dota 2 K Neklyudov Analysis of Images, Social Networks and Texts: 5th International Conference …, 2017 | 11* | 2017 |
| Uncertainty estimation via stochastic batch normalization A Atanov, A Ashukha, D Molchanov, K Neklyudov, D Vetrov arXiv preprint arXiv:1802.04893, 2018 | 7 | 2018 |
| Applications of machine learning in Dota 2: Literature review and practical knowledge sharing A Semenov, P Romov, K Neklyudov, D Yashkov, D Kireev CEUR Workshop Proceedings, 1-5, 2016 | 4 | 2016 |
| Variance networks: When expectation does not meet your expectations K Neklyudov, D Molchanov, A Ashukha, D Vetrov arXiv preprint arXiv:1803.03764, 2018 | 3 | 2018 |
| Metropolis-Hastings view on variational inference and adversarial training K Neklyudov, P Shvechikov, D Vetrov arXiv preprint arXiv:1810.07151, 2018 | 1 | 2018 |
Dmitry VetrovHigher School of Economics, Samsung AI Center, MoscowVerified email at hse.ru