Usage of Multiple RTL Features for Earthquakes Prediction. - Polina Proskura; Alexey Zaytsev 002; I. Braslavsky; Evgenii Egorov; Evgeny Burnaev (ICCSA (1), 2019)

MaxEntropy Pursuit Variational Inference. - Evgenii Egorov; Kirill Neklyudov; Ruslan Kostoev; Evgeny Burnaev (ISNN (1), 2019)

The Implicit Metropolis-Hastings Algorithm. - Kirill Neklyudov; Evgenii Egorov; Dmitry P. Vetrov (NeurIPS, 2019)

Usage of multiple RTL features for Earthquake prediction. - Polina Proskura; Alexey Zaytsev 002; I. Braslavsky; Evgenii Egorov; Evgeny Burnaev (CoRR, 2019)

Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems. - Anna Kuzina; Evgenii Egorov; Evgeny Burnaev (CoRR, 2019)

BooVAE: A scalable framework for continual VAE learning under boosting approach. - Anna Kuzina; Evgenii Egorov; Evgeny Burnaev (CoRR, 2019)

Involutive MCMC: a Unifying Framework. - Kirill Neklyudov; Max Welling; Evgenii Egorov; Dmitry P. Vetrov (ICML, 2020)

BooVAE: Boosting Approach for Continual Learning of VAE. - Evgenii Egorov; Anna Kuzina; Evgeny Burnaev (NeurIPS, 2021)

The END: An Equivariant Neural Decoder for Quantum Error Correction. - Evgenii Egorov; Roberto Bondesan; Max Welling (CoRR, 2023)

Ai-sampler: Adversarial Learning of Markov kernels with involutive maps. - Evgenii Egorov; Riccardo Valperga; Stratis Gavves (ICML, 2024)

Ai-Sampler: Adversarial Learning of Markov kernels with involutive maps. - Evgenii Egorov; Riccardo Valperga; Efstratios Gavves (CoRR, 2024)

Equivariant Machine Learning Decoder for 3D Toric Codes. - Oliver Weissl; Evgenii Egorov (CoRR, 2024)