ИСТИНА

• Охват: Международная
• Даты проведения: 29 ноября - 3 декабря 2021
• Место проведения: Daejeon, Korea, Republic of
• Организатор:
  Korea Inst. of Science and Technology Information
• Число участников: 200
• Веб-сайт: https://indico.cern.ch/event/855454/
• Описание конференции:

  The 20th edition of ACAT will bring together experts to explore and confront the boundaries of computing, automated data analysis, and theoretical calculation technologies, in particle and nuclear physics, astronomy and astrophysics, cosmology, accelerator science and beyond. ACAT provides a unique forum where these disciplines overlap with computer science, allowing for the exchange of ideas and the discussion of cutting-edge computing, data analysis and theoretical calculation technologies in fundamental physics research. ACAT promises to showcase an excellent set of plenary speakers, including (as highlight) Joseph Lykken (Fermilab, on Quantum Computing), Lenka Zdeborova (EPFL, on a Theory of Deep Learning), Barry C. Sanders (University of Calgary, on Quantum Machine Learning), Michael Spannowsky (Durham University, on Unsupervised Machine Learning for New Physics Searches), and Julia Fitzner (WHO, on WHO's Data Analysis Challenges during COVID-19 Pandemic).

• Добавил в систему: Демичев Андрей Павлович

Доклады:

• 2021 Analyzing Stereoscopic Cherenkov Telescope Images from TAIGA Array Using Convolutional Neural Networks (Стендовый)
• Авторы: Polyakov Stanislav, Demichev Andrey, Kryukov Alexander

• 2021 Interrelation of equivariant Gaussian processes and convolutional neural networks (Стендовый)
• Автор: Demichev Andrey

• 2021 Supernova Light Curves Approximation based on Neural Network Models (Устный)
• Авторы: Demianenko Mariia, Samorodova Ekaterina, Sysak Mikhail, Shiriaev Aleksandr, Malanchev Konstantin, Derkach Denis, Hushchyn Mikhail