| 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 |
| Bayesian generative models for knowledge transfer in mri semantic segmentation problems A Kuzina, E Egorov, E Burnaev Frontiers in neuroscience 13, 844, 2019 | 2 | 2019 |
| Maxentropy pursuit variational inference E Egorov, K Neklydov, R Kostoev, E Burnaev International Symposium on Neural Networks, 409-417, 2019 | 1 | 2019 |
| Involutive MCMC: a Unifying Framework K Neklyudov, M Welling, E Egorov, D Vetrov arXiv preprint arXiv:2006.16653, 2020 | | 2020 |
| BooVAE: A scalable framework for continual VAE learning under boosting approach A Kuzina, E Egorov, E Burnaev arXiv preprint arXiv:1908.11853, 2019 | | 2019 |
| The Implicit Metropolis-Hastings Algorithm K Neklyudov, E Egorov, D Vetrov Advances in Neural Information Processing Systems 32 (NIPS 2019), 13954--13964, 2019 | | 2019 |
Kirill NeklyudovVerified email at phystech.edu
