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Kirill Neklyudov
Kirill Neklyudov
Unknown affiliation
Verified email at phystech.edu
Title
Cited by
Cited by
Year
Structured bayesian pruning via log-normal multiplicative noise
K Neklyudov, D Molchanov, A Ashukha, DP Vetrov
Advances in Neural Information Processing Systems 30, 2017
1612017
Performance of machine learning algorithms in predicting game outcome from drafts in dota 2
A Semenov, P Romov, S Korolev, D Yashkov, K Neklyudov
International Conference on Analysis of Images, Social Networks and Texts, 26-37, 2016
552016
Uncertainty estimation via stochastic batch normalization
A Atanov, A Ashukha, D Molchanov, K Neklyudov, D Vetrov
arXiv preprint arXiv:1802.04893, 2018
472018
Involutive mcmc: a unifying framework
K Neklyudov, M Welling, E Egorov, D Vetrov
International Conference on Machine Learning, 7273-7282, 2020
192020
Variance networks: When expectation does not meet your expectations
K Neklyudov, D Molchanov, A Ashukha, D Vetrov
arXiv preprint arXiv:1803.03764, 2018
192018
Metropolis-Hastings view on variational inference and adversarial training
K Neklyudov, E Egorov, P Shvechikov, D Vetrov
arXiv preprint arXiv:1810.07151, 2018
132018
Applications of Machine Learning in Dota 2: Literature Review and Practical Knowledge Sharing.
AM Semenov, P Romov, K Neklyudov, D Yashkov, D Kireev
MLSA@ PKDD/ECML, 2016
112016
Orbital mcmc
K Neklyudov, M Welling
International Conference on Artificial Intelligence and Statistics, 5790-5814, 2022
52022
The Implicit Metropolis-Hastings Algorithm
K Neklyudov, E Egorov, D Vetrov
Advances in Neural Information Processing Systems, 2019, 2019
52019
Maxentropy pursuit variational inference
E Egorov, K Neklydov, R Kostoev, E Burnaev
International Symposium on Neural Networks, 409-417, 2019
32019
Deterministic gibbs sampling via ordinary differential equations
K Neklyudov, R Bondesan, M Welling
arXiv preprint arXiv:2106.10188, 2021
12021
Particle Dynamics for Learning EBMs
K Neklyudov, P Jaini, M Welling
arXiv preprint arXiv:2111.13772, 2021
2021
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Articles 1–12