Kirill Neklyudov
Kirill Neklyudov
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TitleCited byYear
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
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
Uncertainty estimation via stochastic batch normalization
A Atanov, A Ashukha, D Molchanov, K Neklyudov, D Vetrov
arXiv preprint arXiv:1802.04893, 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
Variance networks: When expectation does not meet your expectations
K Neklyudov, D Molchanov, A Ashukha, D Vetrov
arXiv preprint arXiv:1803.03764, 2018
Metropolis-Hastings view on variational inference and adversarial training
K Neklyudov, P Shvechikov, D Vetrov
arXiv preprint arXiv:1810.07151, 2018
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Articles 1–6