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Regular version of the site

Dmitry Vetrov Took Part in the Samsung AI Forum

At October 19-20, head of the Deep Learning and Bayesian Methods laboratory Dmitry Vetrov took part in the forum on artificial intelligence at the headquarters of the corporation Samsung.

HSE and Yandex launched a new English specialization on Coursera: Advanced Machine Learning

In this specialization the listeners will complete the courses on deep learning, Bayesian methods, reinforcement learning, natural language processing etc. Alexander Novikov, research fellow of the laboratory, is a lecturer of Bayesian Methods course.

Mini-workshop Stochastic Processes and Probabilistic Models in Machine Learning

On September 12 and 13, a mini-workshop "Stochastic processes and probabilistic models in machine learning" was held at the faculty. Four invited foreign specialists gave lectures about the application of parametric and nonparametric probabilistic methods in machine learning, and representatives of Russian scientific groups told about particular projects where these approaches are used.

Bayesian Methods in Deep Learning Summer School in Moscow

Bayesian Methods in Deep Learning Summer School was held in Moscow fron 26 to 30 August. During these five days 96 participants from 8 countries listened to lectures about Bayesian methods in deep learning and trained neural networks.

A paper on CVPR 2017

Michael Fugurnov's paper written in collaboration with researchers from Google, Carnegie Mellon University and Dmitry Vetrov has been presented on Computer Vision and Pattern Recognition. The conference was held from 21 to 26 July in Honolulu, USA.

Collaboration with Samsung Opens New Perspectives for the Laboratory and the Faculty

Dmitry Vetrov, head of the laboratory, held a meeting with Mr. Shi-Hwa Lee, a Vice-President of Samsung, a company the laboratory collaborates with. Interim research results, internship possibilities and collaboration perspectives were discussed.