• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site
National Research University Higher School of EconomicsNewsEducationHSE and Yandex Hold Second Summer School in Machine Learning in High Energy Physics

HSE and Yandex Hold Second Summer School in Machine Learning in High Energy Physics

On June 20-27, the HSE Faculty of Computer Science teamed up with the Yandex School of Data Analysis to carry out the Second International Summer School in Machine Learning in High Energy Physics. This year’s Summer School took place in Lund, Sweden, and saw the participation of 60 students and researchers from Austria, Great Britain, Germany, Italy, Russia, the U.S., Sweden, Switzerland, and more. Of these students, five came from the Higher School of Economics.

The Summer School’s programme offered two tracks – basic and advanced. The basic track focused on key topics needed to build classification models for data collected using modern-day particle detectors. Lecturers included Alexey Rogozhnikov, while practicums were held by Nikita Kazeev, Tatiana Likhomanenko, and Alexander Panin. The advanced track included topics such as particle trajectory restoration (Mikhail Guschin), methods for optimising real-time data selection algorithms (Tatiana Likhomanenko), and joint research technologies (Andrey Ustyuzhanin). Both tracks then turned into a discussion of how in-depth learning can be applied to physics experiments (lecture by Alexander Panin; practicums by Tatiana Likhomanenko and Alexey Rogozhnikov). To strengthen the data analysis methods covered at the lectures and seminars, two competitions were also organised on the Kaggle platform. The advanced tract worked on improving event filters, while the basic track worked on the search for decays of the Higgs boson. There were many physicists and machine-learning experts from all over the world invited to speak at the Summer School: Chase Shimmin (UC Irvine, U.S.), Gilles Louppe (NYU, U.S.), Vicens Gaitan (Grupo AIA R&D, Spain), Joaquin Vanschoren (TUE, the Netherlands), Michael Williams (MIT, U.S.). Two computer clusters were used at the school, the first of which was provided by Yandex (300 cores, 1.5 terabytes of memory), while the second came from a Finnish supercomputer centre (48 GPU cards).

Petr Zhizhin, First-year Applied Mathematics and Informatics Student 

‘The trip to Sweden began when our student group got an invitation in the mail. I filed out the form, which asked about the different programming languages I knew, what I expected from my school, and why I should be selected for the event.

I’ve loved physics since I was in elementary school. It was one of the most difficult subjects available, and it always posed a challenge for me with all of the complex tasks it entails. Each year I participated in different physics Olympiads. I got a hundred on the Unified State Exam and even participated in the Faculty of Computer Science’s PhysTech Olympiad in physics.

So I simply had to apply for the School. It was an excellent opportunity for me to meet real physicists who work in the field of machine learning. When I got the call that I’d been accepted, I was beside myself with joy.

Classes at the School were taught by staff from the LAMBDA laboratory who work both within the faculty and at Yandex. It was a lot of work. I didn’t sleep more than five hours a single night of the Summer School. Over the course of a week, we looked at various algorithms such as linear regression, decision trees, random decision forests, boosting algorithms, and neural networks. After completing the School, I knew exactly which areas of mathematics I needed to study in the future.

For our track, the organisers selected a project dealing with machine learning in high-energy physics – the search for decays of the Higgs boson. To complete our task, we tried out a large number of different machine-learning algorithms. They didn’t all work out that well, but the main steps included random decision forests, XGBoost, XGBoost with Grid Search, and neural networks. I can definitely say that I was surprised when the neural networks yielded significantly better results than the other models.

After the Summer School, the instructors said that they were really impressed by our effort and that we were the youngest team at the school. They took note of the results we achieved in the competition and gave us commemorative prizes.’

In addition to Petr Zhizhin, a first-year student in the Applied Mathematics and Informatics programme, the Summer School also saw the participation of third-years Alexander Tiunov and Roman Schedrin of the Applied Mathematics and Informatics Programme, Ekaterina Rubtsova from the Software Engineering programme, and Artem Filatov from the Economics programme.



See also:

IOE Hosts Fifth International Summer School on Higher Education Research

In mid-June 2017, the town of Pushkin near St. Petersburg, Russia welcomed the Fifth International Summer School on Higher Education Research, a joint initiative between the HSE Institute of Education and Peking University’s China Institute for Educational Finance Research. This year, the Summer School focused on higher education and social inequality.

Russian-Chinese School — A Real International Event

The VII International Russian-Chinese Summer School on International Relations ‘Economic Instruments of Foreign Policy in the Modern World’ was held on July 6-13 at the HSE Faculty of World Economy and International Affairs (Moscow) in full cooperation with the East China Normal University (Shanghai) and with the support of the Gorchakov Fund.

HSE Graduate School of Urbanism and D’est Organize Joint Summer School in France

The HSE Vysokovsky Graduate School of Urbanism together with the French association D’est are organizing a joint summer school this year in France. The School will run from June 25 – July 8, 2017 in Paris and Montpellier and aims to attract students and young professionals in urban development and planning, municipal administration, and civil initiatives.

HSE Students Win International Competition in Computer Security

Team HSE has taken second place at RuCTF - a leading information security competition. The championship was held in Ekaterinburg on April 14-17, 2017. RuCTF (‘Capture the Flag’) is an annual open all-Russian interuniversity competition and conference on information security. The event has been held annually since 2008.

CERN Workshop at the HSE Faculty of Computer Science

Thirty school students from Moscow and the Moscow Region recently had an opportunity to meet international researchers and analyze data obtained from the Large Hadron Collider at a workshop organized by HSE’s Faculty of Computer Science, Yandex and CERN.

From Chaotic Dynamics to Process Mining

Sergey Shershakov is 2012 graduate of the HSE master’s programme in System and Software Engineering, lecturer of a course in Data Algorithms and Structures, a researcher at the Laboratory of Process-Aware Information Systems (PAIS Lab), and participant of the Young Faculty Support Programme in the Category ‘New Researchers’. Sergey told us what Process Mining is, how to keep your knowledge up-to-date without working in the industry, and why HSE graduates don’t have to ‘forget everything they’ve been taught’.

HSE Signs Cooperation Agreement with Université Grenoble Alpes

The Higher School of Economics and Université Grenoble Alpes (Grenoble Alpes University) have signed a cooperation agreement, initiated by HSE Faculty of Computer Science. Under the agreement the universities will organize academic exchange programmes, research and educational activities, and joint research projects.

‘Our Programme Aims to Make a Research Breakthrough at the Intersection of Mathematics and Computer Science’

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.

Summer School ‘Technologies for Integrated Planning and Management in Supply Chains’

From August 24 – 31, 2016, a summer school organized by the HSE Faculty of Business and Management School of Logistics and Cologne University of Applied Sciences (Germany) took place at Voronovo Study Centre.

BRICS: Prospects and Opportunities

How can cooperation among BRICS countries be built in the modern era? What can contribute to the economic growth of China and Russia? These are the key issues of the Summer School on ‘Economics and Business in BRICS: Perspectives for Russia and China’ that took place in Saint Petersburg in August 2016.