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Regular version of the site

Laboratory of Methods for Big Data Analysis

Publications
Book
Artificial Intelligence for High Energy Physics

Derkach D., Ratnikov F., Ustyuzhanin A.

World Scientific Publishing Co., 2022.

Article
Measurement of the W boson mass

The LHCb c., Derkach D., Maevskiy A. et al.

Journal of High Energy Physics. 2022. Vol. 2022. No. 01.

Article
Simulating the time projection chamber responses at the MPD detector using generative adversarial networks

A. Maevskiy, F. Ratnikov, Zinchenko A. et al.

The European Physical Journal C - Particles and Fields. 2021. Vol. 81.

Article
NFAD: fixing anomaly detection using normalizing flows

Ryzhikov A., Borisyak M., Ustyuzhanin A. et al.

PeerJ Computer Science. 2021. Vol. 7.

Article
Generalization of change-point detection in time series data based on direct density ratio estimation

Hushchyn M., Ustyuzhanin A.

Journal of Computational Science. 2021. No. 53.

The LAboratory of Methods for Big Data Analysis (LAMBDA) currently focuses on using machine-learning and data analysis methods to solve issues in fundamental sciences such as particle physics and astrophysics. The Laboratory’s main developmental direction is to work with leading scientists from these fields to search for answers to the universe’s mysteries. Specifically, the Laboratory cooperates with the European Organization for Nuclear Research (CERN), researching the events of the Large Hadron Collider and raising the efficiency of data analysis.

In addition, the Laboratory’s educational activities include organizing and carrying out academic seminars and summer/winter schools on big data analysis and providing scientific guidance to thesis and dissertation work.

LAMBDA was created in February 2015.


Illustration for news: Fall into ML: Autumn School and Conference on Machine Learning Held at HSE University

Fall into ML: Autumn School and Conference on Machine Learning Held at HSE University

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.

Illustration for news: Faculty of Computer Science Lab Develops Monitoring System for LHC Experiment

Faculty of Computer Science Lab Develops Monitoring System for LHC Experiment

Researchers from the Laboratory of Methods for Big Data Analysis (LAMBDA) at the HSEFaculty of Computer Science have created a monitoring system that is used in the Large Hadron Collider beauty experiment (LHCb). The system helps track the quality of the collected data and allows operators to quickly find errors.

Illustration for news: From Neurobiology to a Collider: HSE Researchers Present their Discoveries at ZIL.Nauka Festival

From Neurobiology to a Collider: HSE Researchers Present their Discoveries at ZIL.Nauka Festival

Which brain lobes should we stimulate to improve our short-term memory? What is ‘warm radiation’ and why it is so important that people help each other? Which manufacturing systems will artificial intelligence master the fastest? Scholars from HSE University offered their scientific opinions on all these and more at the ZIL.Nauka festival.

Illustration for news: IDAO 2022 Challenges Participants to Work with Graph Neural Networks

IDAO 2022 Challenges Participants to Work with Graph Neural Networks

On February 1, the IDAO 2022 was launched. The HSE Faculty of Computer Sciences, Yandex and Otkritie Bank (platinum partner) are holding it for the fifth time. The first round of the olympiad will be held in an online format on Yandex.Contest - an online platform for organizing programming competitions.

Illustration for news: HSE University and Yandex organized the 3d Joint Autumn School on Generative Models

HSE University and Yandex organized the 3d Joint Autumn School on Generative Models

The Autumn School took place from November 23 to 26 in mixed format. The classes were hosted at Yandex School of Data Analysis. Those who were not able to attend on-campus joined online.

Illustration for news: HSE University among Founders of Super C-Tau Factory

HSE University among Founders of Super C-Tau Factory

Ten universities and institutes have announced a partnership to construct an electron-positron collider in order to study the production and properties of charmed particles and tau leptons. The new experiment will be part of the Super C-Tau Factory project. It was founded by two international teams and eight from Russia, including HSE University.

Illustration for news: HSE University Receives Government Grant to Create AI Research Centre

HSE University Receives Government Grant to Create AI Research Centre

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.

Illustration for news: "My Model Will Be Used to Analyse Data from the ATLAS Detector Collected During the New Collider Launch in 2022"

"My Model Will Be Used to Analyse Data from the ATLAS Detector Collected During the New Collider Launch in 2022"

Tigran Ramazyan, a fourth-year student of the Data Science and Business Analytics double-degree programme, has talked about his studies at the Faculty and internship at CERN openlab.

Illustration for news: Summer School on Machine Learning in High Energy Physics Took Place

Summer School on Machine Learning in High Energy Physics Took Place

On July 15-30, the Seventh International School on Machine Learning in High Energy Physics (MLHEP) organised by the Laboratory of Methods for Big Data Analysis (LAMBDA), Yandex School of Data Analysis and EPFL (Switzerland) took place.

Illustration for news: Imperial Collegue London Machine Learning & Deep Learning online-course

Imperial Collegue London Machine Learning & Deep Learning online-course

Artem Maevskiy, LAMBDA researcher, participated in giving an Imperial Collegue London (ICL) Machine Learning & Deep Learning online-course.