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

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

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
yes	N.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