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D. Vetrov
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Maxim Kodryan

  • Maxim Kodryan has been at HSE University since 2019.


Research in deep learning, optimization and Bayesian methods.



Bachelor's in Applied Mathematics and Information Science
Lomonosov Moscow State University


Chapter Kodryan M., Grachev A., Ignatov D. I., Vetrov D. Efficient Language Modeling with Automatic Relevance Determination in Recurrent Neural Networks, in: Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP-2019) Issue W19-43. Florence, Italy: Association for Computational Linguistics, 2019. P. 40-48. doi

NeurIPS — 2020 Accepts Three Articles from Faculty of Computer Science’s Researchers

34th conference on neural information processing systems NeurIPS 2020 is one of the largest conferences on machine learning in the world, taking place since 1989. It was going to take place in Vancouver, Canada on December 6-12, but takes place online.NeurIPS is as prestigious as ever, with 9,454 articles submitted and 1,300 articles accepted by the conference. Among those accepted are three articles by the researchers of the Faculty of Computer Science:

The paper "On Power Laws in Deep Ensembles" accepted as a spotlight to NeurIPS'20