Bayesian Methods Research Group

1. PhD Parade 2022

   28 Oct 2022

   

   We're happy to announce that several members of our lab have completed and successfully defended their PhD studies:

   • Arsenii Ashukha on 29 Sep 2022 with thesis "Prior Knowledge for Deep Learning"
   • Ekaterina Lobacheva on 30 Oct 2022 with thesis "Deep Learning Architectures on a Limited Memory Budget"
   • Nadezhda Chirkova on 6 Oct 2022 with thesis "Neural Networks for Source Code Processing"
   • Dmitry Molchanov on 28 Oct 2022 with thesis "Doubly Stochastic Variational Inference with Semi-Implicit and Improper Distributions"

   Our congratulations to newly baked doctors!

2. NeurIPS 2022

   20 Sep 2022

   Two papers were accepted to the Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022):

   • Training Scale-Invariant Neural Networks on the Sphere Can Happen in Three Regimes by Мaxim Кodryan, Еkaterina Lobacheva, Мaxim Nakhodnov and Dmitry Vetrov
   • HyperDomainNet: Universal Domain Adaptation for Generative Adversarial Networks by Aibek Alanov, Vadim Titov and Dmitry Vetrov

3. Dr. Alexander Novikov

   16 Dec 2021

   On December 16 our alumnus Alexander Novikov got his PhD on “Tensor methods for machine learning”. The thesis is focused on using low-rank tensor decomposition algorithms to develop faster methods for training models, methods for compressing and accelerating models, and creating less resource-intensive machine learning models from scratch. Dissertation was supervised by Ivan Oseledets and Dmitry Vetrov. Congrats to Dr. Alexander!

4. AI Super Grant

   07 Oct 2021

   HSE University, where most of our group is based, got a major grant from the Russian Government to support research in the field of AI in 2021-2024. Funding – the total amount is over 1 billion rubles – will be received from the budget of the Russian Federation, and our partners: SberBank, Yandex, MTS AI. The purpose of the project is to develop new AI technologies allowed to expand the scope of its application and overcome existing limitations for solving applied tasks, and to optimize AI-models. Dmitry Vetrov will provide scientific guidance for the project.

5. Sergey Troshin to receive a scholarship

   17 Jul 2021

   Sergey Troshin, a graduate student at BayesGroup, was awarded a personal scholarship for contribution to Computer Science. The scholarship has been recently established by the Faculty of Computer Science of HSE University for their students.

6. Dr. Daniil Polykovskiy

   25 May 2021

   On May 20 Daniil Polykovskiy defended his thesis on "Generative Models for Drug Discovery". The PhD Dissertation was prepared at HSE and supervised by Dmitry Vetrov. We congratulate Daniil — our new Doctor of Philosophy in Computer Science!

7. Ilya Segalovich Scholarship Winners

   13 Apr 2021

   Three young researchers of our team became the Ilya Segalovich Scholarship winners. The scholarship established by the Faculty of Computer Science (HSE University) in 2015 rewards academic and scientific achievements. Congrats to our winners, Artyom Gadetsky, Denis Rakitin and Sergey Troshin!

8. Research Excellence Award Russia 2021

   06 Apr 2021

   Dmitry Vetrov was awarded the prestigious Research Excellence Award Russia 2021 in the nomination ‘Contribution to the development of a globally relevant research topic’ for his work on Convolutional Neural Networks.

   The Research Excellence Award Russia is presented by Elsevier, the world's largest publisher of scientific and technical literature and provider of information solutions in the field of science and education.

   Dmitry Vetrov dedicated the award to his students, past and current.

9. Two papers were accepted to NAACL 2021

   12 Mar 2021

   Two papers were accepted to the 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2021):

   • “On the Embeddings of Variables in Recurrent Neural Networks for Source Code” by Nadezhda Chirkova;
   • “A Simple Approach for Handling Out-of-Vocabulary Identifiers in Deep Learning for Source Code” by Nadezhda Chirkova and Sergey Troshin.

10. Samsung Best Paper Award 2020

    05 Oct 2020

    The paper "Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics" by Arseny Kuznetsov, Pavel Shvechikov, Alexander Grishin, and Dmitry Vetrov earned a bronze award on Samsung Best Paper Award 2020. It is the central academic competition at Samsung which stimulates engineers and researchers to publish world-class level papers. Our members' paper was the only one from Russia that made it to the final stage along with 107 other papers (among 2180 initial submissions) from all over the world.

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