About me

I am a deep learning researcher at Bayesian methods research group supervised by Prof. Dmitry Vetrov. I work as a research fellow at Samsung AI Laboratory of the Higher School of Economics. At HSE, I also teach machine learning to Bachelor and Master students. During last three years, I've been one of the main organizers of the Summer school on deep learning and Bayesian methods.

News

• 11 Feb 2020 » We with Ekaterina Lobacheva presented our paper Structured sparsification of Gated RNNs at AAAI Conference on Artificial Intelligence in New York, USA (presentation, poster)
• 12 Dec 2019 » I presented our paper Structured sparsification of Gated RNNs at NeurIPS Workshop on Context and Compositionality in Biological and Artificial Neural Systems in Vancouver, Canada
• 4 Dec 2019 » I gave a lecture on Bayesian neural networks at Machine Learning and Applications to Physics workshop in Madrid, Spain
• 25 Aug 2019 » We organized the third Deep|Bayes summer school.
• 4 Jul 2019 » I gave lecture and seminar on Bayesian neural networks at the Fifth Machine Learning in High Energy Physics Summer School in Hamburg, Germany
• 26 Jun 2019 » I took part in Google NLP summit in Zurich, Switzerland
• 7 Jun 2019 » I gave a tutorial on Bayesian sparsification of neural networks at Probabilistic AI summer school in Trondheim, Norway
• 7 Dec 2018 » I gave a contributed talk presenting our paper Bayesian Sparsification of Gated RNNs at NeurIPS Workshop on Compact Deep Neural Networks with industrial applications, Montreal, Canada
• 3 Nov 2018 » We presented our paper Bayesian Compression for Natural Language Processing at EMNLP 2018, Brussels, Belgium
• 1 Sep 2018 » We organized the second Summer school on deep learning and Bayesian methods in Moscow, Russia. I was one of the main organizers
• 30 Aug 2017 » Our research group organized the first Summer school on deep learning and Bayesian methods in Moscow, Russia. We with Kate Lobacheva ran all the organization
• 10 Aug 2017 » We presented our paper Bayesian Sparsification of Recurrent Neural Networks at ICML Workshop on Learning to Generate Natural Language, Sydney, Australia
• 14 Oct 2016 » Our paper Additive regularization for hierarchical multimodal topic modeling was published in Journal on machine learning and data analysis. I gave a talk presenting it at the 11th International Conference on Intelligent Data Processing in Barcelona, Spain