Dmitry Vetrov

Staff members of the HSE Faculty of Computer Science will present 12 of their works at the 37th Conference and Workshop on Neural Information Processing Systems (NeurIPS), one of the most significant events in the field of artificial intelligence and machine learning. This year it will be held on December 10–16 in New Orleans (USA).

A team of researchers from HSE University, jointly with the Yandex School of Data Analysis and Yandex Cloud, have developed a neural network for anticipating El Niño climate anomalies. The new algorithm enables more precise predictions of changes in the average surface temperature of oceanic waters that can trigger natural disasters in specific regions of the world. At present, the model is capable of predicting El Niño events one and a half years in advance, and the researchers are working towards extending the forecast period to two years.

Three researchers of the HSE Faculty of Computer Science are among the winners of the 2022 Ilya Segalovich Award: Research Professor Dmitry Vetrov, Associate Professor Alexey Naumov and doctoral student Sergey Samsonov. The award, established by Yandex in 2019, is aimed at supporting young researchers and the scientific community in the field of IT in Russia, Belarus and Kazakhstan.

On November 1st-3rd, 2022 the International Laboratory of Stochastic Algorithms and High-Dimensional Inference of the HSE Faculty of Computer Science and the Laboratory of Methods for Big Data Analysis with the support of HSE AI Centre and the Russian Science Foundation organized the first autumn school and conference on artificial intelligence ‘Fall into ML’. The new format of the event included a school for students and young researchers.

In 2022, 17 articles by the researchers of HSE Faculty of Computer Science were accepted at the NeurIPS (Conference and Workshop on Neural Information Processing Systems), one of the world’s most prestigious events in the field of machine learning and artificial intelligence. The 36th conference will be held in a hybrid format from November 28th to December 9th in New Orleans (USA).

35th Conference on Neural Information Processing Systems (NeurIPS 2021) is one of the world's largest conferences on machine learning and neural networks. It takes place on December 6-14, 2021.

A competition of research centres looking to receive grants through the Artificial Intelligence federal project has concluded, and HSE University is among the winners. Winning centres will focus on developing new AI technologies that expand its application, overcoming existing limitations for solving applied problems and optimizing AI models.

The winners of the third annual Ilya Segalovich Award were recently announced in Moscow. Established by Yandex, the award promotes the scientific endeavours of young researchers from Russia, Belarus, and Kazakhstan in the field of Computer Science. Among this year’s winners were three HSE students, including Alexander Grishin, a Doctoral student of the Big Data and Information Retrieval School of the HSE Faculty of Computer Science. Alexander spoke to us about his work, research challenges, and why he was surprised to receive the award.

The winners of the Ilya Segalovich Scholarship were announced recently. We talked to them about the award, their studies and their projects.

Elsevier (operated by Scopus) has awarded its prestigious Research Excellence Award since 2005. This year, it celebrates the Year of Science and Technology in Russia. On March 30, Elsevier awarded the winning scholars, which included Maxim Kotsemir, Research Fellow at the HSE Institute for Statistical Studies and Economics of Knowledge, and Dmitry Vetrov, Professor at the HSE Faculty of Computer Science.

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:

Устный доклад сотрудников Лаборатории на одной из крупнейших конференций по ИИ.

Сотрудники Центра получили бронзовую награду на конкурсе Samsung Best Paper Award 2020.

ELLIS is a leading European association in the field of artificial intelligence

This year, Russia’s largest science and technology festival, Geek Picnic, was held online for the first time. Despite the new format, the festival programme included all of the event’s usual key features: expert lectures, workshops, competitions, and opportunities to socialize and network with fellow tech and science enthusiasts. HSE University once again served as the festival’s content partner.

In 2018 Polina graduated from Faculty of Computer Science’s  Applied Mathematics and Computer Science  bachelor programme with honours. While studying, she worked for three years in Bayesian Methods Research Group. Last year Polina began PhD programme at the School of Operations Research and Information Engineering, Cornell University (USA).

В Москве вновь прошла Летняя школа по байесовским методам в глубинном обучении, собравшая участников из 27 стран.

The Master's Programme in Statistical Learning Theory was launched in 2017. It is run jointly with the Skolkovo Institute of Science and Technology (Skoltech). The programme trains future scientists to effectively carry out fundamental research and work on new challenging problems in statistical learning theory, one of the most promising fields of science. Yury Kemaev and Maxim Kaledin, from the first cohort of programme graduates, sat down with HSE News Service to talk about their studies and plans for the future.

The Master's Programme ‘Statistical Learning Theory’ was launched in 2017, and is run jointly with the Skolkovo Institute of Science and Technology(Skoltech).

Students from France, UK, Italy, Switzerland, Togo, and Albania worked on research projects at the labs of the HSE Faculty of Computer Science during Spring Semester 2019.

As part of the HSE Faculty of Computer Science fifth anniversary celebration at Mercury Moscow City Tower, Ilya Segalovich Scholarships were awarded.

One paper will be presented at AISTATS (Japan, April 2019) and three papers will be presented at ICLR (USA, May 2019).

Researchers of the Faculty of Computer Science presented their papers at the annual conference of Neural Information Processing Systems (NeurIPS), which was held from 2 to 8 December 2018 in Montreal, Canada.

The HSE Faculty of Computer Science and Yandex with the support of Sberbank are to organize the 2nd International Data Analysis Olympiad (IDAO). The Olympiad is held by leading experts in data analysis for their future colleagues and aims to bring together analysts, scientists, professionals, and junior researchers.

The second Summer School on Deep Learning and Bayesian Methods was held in Moscow from August 27 to September 1, this year in English. During 6 days participants were studying and implementing Bayesian methods in neural networks, exchanging their experience and discussing research ideas.

On May 29, Samsung opened its new Artificial Intelligence Centre in Moscow. Dmitry Vetrov, Professor of the HSE Faculty of Computer Science, will become one of its leaders and oversee research in machine learning.

An article by HSE Faculty of Computer Sciences senior Artyom Gadetsky was accepted for presentation at the Association for Computational Linguistics international conference, the only A* level conference on computational linguistics. According to the CORE system, which ranks large conferences in computer science, the category A* is the highest level for a conference.

Samsung-HSE Laboratory will develop mechanisms of Bayesian inference in modern neural networks, which will solve a number of problems in deep learning. The laboratory team will be made up of the members of the Bayesian Methods Research Group — one of the strongest scientific groups in Russia in the field of machine learning and Bayesian inference. It will be headed by a professor of the Higher School of Economics Dmitry Vetrov.

Staff members of the HSE Faculty of Computer Science recently presented their papers at the biggest international conference on machine learning, Neural Information Processing Systems (NIPS)’.

Staff members of the HSE Faculty of Computer Science recently presented their papers at the biggest international conference on machine learning, Neural Information Processing Systems (NIPS)’.

The IDAO (International Data Analysis Olympiad), created by leading experts in data analysis for their future colleagues, aims to bring together analysts, scientists, professionals, and junior researchers from all over the world on a single platform. This is the first time an event of this scale will be held in Russia. The HSE Faculty of Computer Science, Yandex and Harbour. Space University organize the Olympiad with the support of Sberbank.

In 2018, the Higher School of Economics will launch an English-taught double degree programme in partnership with the University of London in Applied Data Analysis. Graduates will be awarded an undergraduate degree from HSE in Applied Mathematics and Information Science and a Bachelor of Science in Data Science and Business Analytics from the University of London. International applicants are invited to apply online starting November 15, 2017.

During his talk on Sberbank Data Science Journey Dmitry Vetrov announced about second summer school on NeuroBayesian methods to be held in HSE in Aug 2018.

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.

On September 12, Pham Cong Thang, who goes by Thang, arrived in Moscow to begin a post-doctoral fellowship at HSE’s International Laboratory of Deep Learning and Bayesian Methods (Faculty of Computer Science, Big Data and Information Retrieval School). Working under the supervision of Professor Dmitry Vetrov, Thang will focus primarily on text and image processing, and computer vision.

The workshop on ‘Big Data and Applications’ was organized by HSE School of Business Informatics, Institut Mines-Télécom in association with CNRS MADICS with the support of the French Embassy in Russia, and the French Ministry of Higher Education, Research and Innovation.

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.

On August 6-11 the 34th International Conference on Machine Learning was held in Sydney, Australia. This conference is ranked A* by CORE, and is one of two leading conferences in the field of machine learning. It has been held annually since 2000, and this year, more than 1,000 participants from different countries took part.

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.

On June 9, a summit was held on computer vision and deep learning ‘Machines can see’, organized by Sistema VC, Visionlabs, and the Strelka Institute. Dmitry Vetrov and Anton Konushin, staff members of HSE Faculty of Computer Science, were among the organizers of and speakers at the conference.

In December 2016, five new international laboratories opened up at the Higher School of Economics, one of which was the International Laboratory of Deep Learning and Bayesian Methods. This lab focuses on combined neural Bayesian models that bring together two of the most successful paradigms in modern-day machine learning – the neural network paradigm and the Bayesian paradigm.

The paper authored by laboratory's research assistants Dmitry Molchanov and Arsenii Ashukha and head Dmitry Vetrov has been accepted to the International Conference on Machine Learning'2017. In this research a state-of-the-art result in deep neural networks sparsification was achieved using Bayesian framework applied to deep learning.

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.

On December 23, 2016, the HSE Academic Council approved the creation of four new laboratories: the International Laboratory for the Study of Russian and European Intellectual Dialogue, the International Laboratory for Population and Health Studies, the International Laboratory of Deep Learning and Bayesian Methods, and the International Laboratory for Supercomputer Atomistic Modelling and Multi-scale Analysis.

In 2017, the HSE Faculty of Computer Science and Skoltech are opening admissions to the Master’s programme inStatistical Learning Theory, which will become the successor to theMathematical Methods of Optimization and Stochastics programme.Vladimir Spokoiny, the programme’s academic supervisor and professor of mathematics at Humboldt University in Berlin, told us about the research part of the new programme and the opportunities it offers to both Master’s students and undergraduate students alike.

Participants of the ‘Big Data Applications’ research workshop, which took place in the beginning of December, discussed big data and prospects for Russian-French cooperation in this area. The workshop, held at HSE, brought together about 50 participants from leading research centres, universities, governmental bodies and IT companies in both Russia and France.

The article ‘Tensorizing Neural Networks’, prepared by the Bayesian Methods Research Group under the supervision of Associate Professor of HSE’s Computer Science Faculty Dmitry Vetrov, has been accepted by the NIPS conference – the largest global forum on cognitive research, artificial intelligence, and machine learning, rated A* by the international CORE ranking. This year it is being held December 7-12 in Montreal. Here Dmitry Vetrov talks about the research he presented and about why delivering reports at conferences is better than getting published in the academic press.

The Twenty-ninth Annual Conference on Neural Information Processing Systems (NIPS) is a single-track machine learning and computational neuroscience conference that includes invited talks, demonstrations and oral and poster presentations of refereed papers. All of the key breakthroughs in machine learning over the last 15 years were first presented at this conference. The conference is assigned to the highest category (A*) in the CORE Conference Ranking.

The reports be Ekateina Lobacheva, doctoral student, and Dmitry Vetrov, Associate Professor of the Department Dmitry Vetrov, Associate Professor at the Big Data and Information Retrieval School were accepted the organisers of the International Conference on Computer Vision, which got the highest rank A* according to the international rating of IT conferences.