About the Centre
The Centre conducts research at the intersection of two actively developing areas of data analysis: deep learning and Bayesian methods of machine learning methods. Deep learning is a section that involves building very complex models (neural networks) to solve problems such as classifying images or music, transferring an art style from picture to photograph, predicting the next words in a text. Within the framework of the Bayesian approach, probabilistic models based on the apparatus of probability theory and mathematical statistics are considered for solving such problems.
The Centre was created on the basis of the Dmitry Vetrov's Bayesian Methods Research Group.
HSE University Presents Research Results at AI Conference in Oman
In April 2026, the International Conference on Intelligent Systems and Artificial Intelligence Applications (ISAA 2026) was held at the University of Nizwa in the Sultanate of Oman. The event was co-organised by HSE University, the University of Nizwa, and the University of Technology and Applied Sciences–Ibri. Researchers from HSE University were among the key speakers at the conference.
HSE Lecturers Awarded Yandex ML Prize 2025
The Yandex ML Prize is awarded to lecturers and heads of educational programmes who contribute to the development of artificial intelligence in Russia. This year, 10 laureates were selected from 300 applicants, including three members of the HSE Faculty of Computer Science (FCS). A special Hall of Fame award was also presented for contributions to the establishment of machine learning as an academic field. One of the recipients was Dmitry Vetrov, Research Professor at the HSE FCS.