| 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 | 92 | 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 | 28* | 2017 |
| Uncertainty estimation via stochastic batch normalization A Atanov, A Ashukha, D Molchanov, K Neklyudov, D Vetrov arXiv preprint arXiv:1802.04893, 2018 | 21 | 2018 |
| Variance networks: When expectation does not meet your expectations K Neklyudov, D Molchanov, A Ashukha, D Vetrov arXiv preprint arXiv:1803.03764, 2018 | 11 | 2018 |
| Applications of Machine Learning in Dota 2: Literature Review and Practical Knowledge Sharing. A Semenov, P Romov, K Neklyudov, D Yashkov, D Kireev MLSA@ PKDD/ECML, 2016 | 6 | 2016 |
| Metropolis-Hastings view on variational inference and adversarial training K Neklyudov, E Egorov, P Shvechikov, D Vetrov arXiv preprint arXiv:1810.07151, 2018 | 5 | 2018 |
| Involutive MCMC: a Unifying Framework K Neklyudov, M Welling, E Egorov, D Vetrov arXiv preprint arXiv:2006.16653, 2020 | 1 | 2020 |
| Maxentropy pursuit variational inference E Egorov, K Neklydov, R Kostoev, E Burnaev International Symposium on Neural Networks, 409-417, 2019 | 1 | 2019 |
| The Implicit Metropolis-Hastings Algorithm K Neklyudov, E Egorov, D Vetrov Advances in Neural Information Processing Systems, 2019, 2019 | | 2019 |
Dmitry VetrovHigher School of Economics, Samsung AI Center, MoscowVerified email at hse.ru
