Table of Contents

Restricted area

Program committee area

Submitted papers

Legend:
yes - received
YES - accepted
https://theory.sinp.msu.ru/doku.php/dlcp21/restricted/submitted_papers?do= no - awaiting
NO - rejected
? - unknown
CANCEL - canceled

June, 28. Astroparticle and High Energy Physics

Status Author, Article title Qual./Agr.
yes P.Koundal, IAP , KIT Karlsruhe
Graph Neural Networks and application for Cosmic-Ray Analysis		 good/yes
yes E.Gres, ISU, Irkutsk
A.Kryukov, SINP MSU
The preliminary results on analysis of TAIGA-IACT images using Convolutional Neural Networks		 good/yes
yes M.Vasyutina, Faculty of Physics, MSU
Gamma/hadron separation for a ground based IACT (imaging atmospheric Cherenkov telescope) in experiment TAIGA using machine learning methods Random Forest		 not bad/yes
yes S.Polyakov, SINP MSU
Performance of convolutional neural networks processing simulated IACT images in the TAIGA experiment		 good/yes
yes A.Zaborenko, Faculty of Physics, MSU
Application of deep learning technique to an analysis of hard scattering processes at colliders		 good/yes
yes A.Vlaskina, Faculty of Physics, MSU
Using convolutional neural network for analysis of HiSCORE events		 good/yes
yes V.Tokareva, IAP KIT
Using modern machine learning methods on KASCADE data for science and education		 good/yes
yes P.Bezyazeekov, API ISU
Legacy of Tunka-Rex software and data		 good/yes
yes Ju.Dubenskaya, SINP MSU
Modeling images of proton events for the TAIGA project using a generative adversarial network: features of the network architecture and the learning process		 good/yes

June, 29. Applications and Methods

Starus Author, Article title En.Qual./Agrr.
yes M.Krinitsky, Shirshov Institute of Oceanology, RAS
Identifying partial differential equations of land surface schemes in INM climate models with neural networks		 good/yes
yes A.Demichev, SINP MSU
Equivariant Gaussian Processes as Limiting Convolutional Networks with Infinite Number of Channels		 good/yes
yes I.Gadzhiev S.Dolenko, SINP MSU
A convolutional hierarchical neural network classifier		 good/yes
yes A.O.Efitorov, SINP MSU
Use of conditional generative adversarial networks to improve representativity of data in optical spectroscopy		 good/yes
yes I.Isaev, SINP MSU
Neural network solution of inverse problems of geological prospecting with discrete output		 good/yes
yes A.Naumov R.Rybka, National Research Centre “Kurchatov Institute”
The Russian language corpus and a neural network to analyse Internet tweet reports about Covid-19		 not bad/yes
yes A.A. Selivanov(rybka2), NRC «Kurchatov Institute»
EVALUATION OF MACHINE LEARNING METHODS FOR RELATION EXTRACTION BETWEEN DRUG ADVERSE EFFECTS AND MEDICATIONS IN RUSSIAN TEXTS OF INTERNET USER REVIEWS		 good/yes
yesN.V.Abasov, Melentiev Energy Systems Institute SB RAS
The technology of long-term forecasting of water inflow into reservoirs using a multi-parameter neural network		 not bad/yes

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