Involutive MCMC: a Unifying Framework K Neklyudov, M Welling, E Egorov, D Vetrov International Conference on Machine Learning 37 (ICML 2020), 7273-7282, 2020 | 29 | 2020 |
Bayesian generative models for knowledge transfer in mri semantic segmentation problems A Kuzina, E Egorov, E Burnaev Frontiers in neuroscience, 844, 2019 | 17 | 2019 |
Metropolis-Hastings view on variational inference and adversarial training K Neklyudov, E Egorov, P Shvechikov, D Vetrov arXiv preprint arXiv:1810.07151, 2018 | 16 | 2018 |
BooVAE: Boosting approach for continual learning of VAE E Egorov, A Kuzina, E Burnaev Advances in Neural Information Processing Systems 34, 17889-17901, 2021 | 15* | 2021 |
The Implicit Metropolis-Hastings Algorithm K Neklyudov, E Egorov, D Vetrov Advances in Neural Information Processing Systems 32 (NIPS 2019), 13954--13964, 2019 | 5 | 2019 |
Maxentropy pursuit variational inference E Egorov, K Neklydov, R Kostoev, E Burnaev Advances in Neural Networks–ISNN 2019: 16th International Symposium on …, 2019 | 3 | 2019 |
The END: An Equivariant Neural Decoder for Quantum Error Correction E Egorov, R Bondesan, M Welling ICLR 2023 Workshop on Physics for Machine Learning, 0 | | |