ИСТИНА

• Охват: Международная
• Даты проведения: 21-23 июня 2023
• Место проведения: Санкт-Петербург, Russia
• Организатор:
  Санкт-Петербургский государственный университет
• Число участников: 60
• Веб-сайт: https://dlcp2023.sinp.msu.ru/
• Описание конференции:

  The conference primarily focuses on the use of machine learning in particle astrophysics and high energy physics, but is not limited to this area. Topics of interest are various applications of artificial neural networks to physical problems, as well as the development of new modern machine learning methods for analyzing various scientific data, including big data.

• Добавил в систему: Дудко Лев Владимирович

Доклады:

• 2023 Classification Approach to Prediction of Geomagnetic Disturbances (Устный)
• Авторы: Gadzhiev I., Isaev I., Barinov O., Dolenko S., Myagkova I.

• 2023 Decoding fluorescence excitation-emission matrices of carbon dots aqueous solutions with convolutional neural networks to create multimodal nanosensor of metal ions (Стендовый)
• Авторы: Sarmanova O.E., Chugreeva G.N., Laptinskiy K.A., Burikov S.A., Dolenko S.A., Dolenko T.A.

• 2023 Decomposition of Spectral Contour into Gaussian Bands using Improved Modification of Gender Genetic Algorithm (Приглашенный)
• Авторы: Kupriyanov G.A., Isaev I.V., Plastinin I.V., Dolenko T.A., Dolenko S.A.

• 2023 Deep learning methods for the tasks of creating "digital twins" for technological processes (Приглашенный)
• Авторы: Petrovskiy Mikhail, Lazuhin Ivan

• 2023 Estimating significant wave height from X-band navigation radar using convolutional neural networks (Устный)
• Авторы: Krinitskiy Mikhail, Golikov Viktor, Anikin Nikita, Suslov Alexander, Gavrikov Alexander, Tilinina Natalia

• 2023 Generating Synthetic Images of Gamma-Ray Events for Imaging Atmospheric Cherenkov Telescopes Using Conditional Generative Adversarial Networks (Приглашенный)
• Авторы: Dubenskaya J., Kryukov A., Demichev A., Polyakov S.P., Gres E., Vlaskina A., Zhurov D.

• 2023 Machine Learning in Gamma Astronomy (Пленарный)
• Авторы: Kryukov A., Demichev A.

• 2023 Methodology for the use of neural networks in the data analysis of the collider experiments (Приглашенный)
• Автор: Дудко Л.В.

• 2023 Preliminary results of convolutional neural network models in HiSCORE experiment (Приглашенный)
• Авторы: Kryukov A., Vlaskina A., Demichev A., Dubenskaya J., Gres E., Polyakov S.P., Zhurov D.

• 2023 The selection of rare gamma event from IACT images with deep learning methods (Устный)
• Авторы: Gres E., Kryukov A., Vlaskina A., Demichev A., Dubenskaya J., Polyakov S.P., Zhurov D.

• 2023 The study of the integration of physical methods in the neural network solution of the inverse problem of exploration geophysics with variable physical properties of the medium (Устный)
• Авторы: Isaev I., Obornev I., Obornev E., Rodionov E., Shimelevich M., Dolenko S.

• 2023 The use of conditional variational autoencoders for simulation of EASs images from IACTs (Приглашенный)
• Авторы: Kryukov A., Polyakov S.P., Demichev A., Dubenskaya J., Gres E., Vlaskina A., Zhurov D.

• 2023 Transfer Learning for Neural Network Solution of an Inverse Problem in Optical Spectroscopy (Приглашенный)
• Авторы: Guskov A., Isaev I., Burikov S., Dolenko T., Laptinskiy K., Dolenko S.