Summary

I’m getting PhD at University of Amsterdam and BayesGroup, focused on Bayesian Deep Learning by supervision of Dmitry Vetrov and Max Welling. Also, I teach several scientific seminars on Machine Learning and involved in research at HSE.

My resume resume is available here.

News

• I joined Samsung AI Research at Moscow.
• Two papers Uncertainty Estimation via Stochastic Batch Normalization, Bayesian Incremental Learning for Deep Neural Networks have been accepted to ICLR Workshop 2018!
• We released preprint on Variance Networks: When Expectation Does Not Meet Your Expectations.
• Our StructuredBP via Log-Normal Multiplicative Noise paper was accepted to NIPS’17.
• I joined AMLab at University of Amsterdam and Yandex Research (home page).
• We released preprint on Structured Bayesian Pruning via Log-Normal Multiplicative Noise.
• Our Variational Dropout Sparsifies DNNs paper was accepted to ICML’17 (github).
• I joined HSE Bayesian Deep Learning Lab, here is my hse home page.
• We released preprint on Variational Dropout Sparsifies DNNs.