Involutive MCMC: a Unifying Framework K Neklyudov, M Welling, E Egorov, D Vetrov International Conference on Machine Learning 37 (ICML 2020), 7273-7282, 2020 | 36 | 2020 |
Boovae: Boosting approach for continual learning of vae E Egorov, A Kuzina, E Burnaev Advances in Neural Information Processing Systems 34, 17889-17901, 2021 | 27* | 2021 |
Bayesian generative models for knowledge transfer in mri semantic segmentation problems A Kuzina, E Egorov, E Burnaev Frontiers in neuroscience 13, 452343, 2019 | 21 | 2019 |
Metropolis-Hastings view on variational inference and adversarial training K Neklyudov, E Egorov, P Shvechikov, D Vetrov arXiv preprint arXiv:1810.07151, 2018 | 18 | 2018 |
The Implicit Metropolis-Hastings Algorithm K Neklyudov, E Egorov, D Vetrov Advances in Neural Information Processing Systems 32 (NIPS 2019), 13954--13964, 2019 | 4 | 2019 |
Maxentropy pursuit variational inference E Egorov, K Neklydov, R Kostoev, E Burnaev Advances in Neural Networks–ISNN 2019: 16th International Symposium on …, 2019 | 2 | 2019 |
The END: An Equivariant Neural Decoder for Quantum Error Correction E Egorov, R Bondesan, M Welling arXiv preprint arXiv:2304.07362, 2023 | 1 | 2023 |