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 the Centre of Deep Learning and Bayesian Methods of the HSE Unversity. My research interests now mainly focus on deep learning for source code. At HSE, I also teach machine learning to Bachelor and Master students. During 2017-2019, I've been one of the main organizers of the Summer School on Deep Learning and Bayesian Methods.

News

• 10 Mar 2021 » Two my papers on deep learning for source code were accepted to NAACL 2021 (a single-author long one and a short one with Sergey Troshin)!
• 10 Oct 2020 » Our paper On Power Laws in Deep Ensembles was accepted as a spotlight to NeurIPS 2020!
• 11 Feb 2020 » We with Ekaterina Lobacheva presented our paper Structured Ssparsification 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 ( video )
• 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