Name: 6th International Workshop on Deep Learning in Computational Physics (DLCP-2022)
Start: 2022-07-06T09:00:00+03:00
End: 2022-07-08T20:00:00+03:00
Location: No location set

6th International Workshop on Deep Learning in Computational Physics (DLCP-2022)

from Wednesday, July 6, 2022 (9:00 AM) to Friday, July 8, 2022 (8:00 PM)

Monday, July 4, 2022
Tuesday, July 5, 2022
Wednesday, July 6, 2022

1:00 PM Registration
Registration
1:00 PM - 2:00 PM
2:00 PM
2:00 PM - 4:00 PM
Contributions

2:00 PM Welcome words - Vladimir Korenkov (JINR)

2:15 PM Machine Learning in MLIT. History, Challenges, and Prospects - Gennady Ososkov (Joint Institute for Nuclear Research)

2:45 PM Deep learning in the collider physics - Lev Dudko (SINP MSU)

3:15 PM Machine learning approach to identify cores of EAS observed by the GRAPES-3 experiment - Medha Chakraborty (Tata Institute of Fundamental Research)

3:30 PM Energy reconstruction in analysis of Cherenkov telescopes images in TAIGA experiment using Deep Learning methods - Elizaveta Gres (Irkutsk State University)

3:45 PM Application of convolutional neural networks for data analysis in TAIGA-HiSCORE experiment - Anna Vlaskina (Moscow State University) Alexander Kryukov (SINP MSU)
4:00 PM Coffee break
Coffee break
4:00 PM - 4:20 PM
4:20 PM
4:20 PM - 6:50 PM
Contributions

4:20 PM ML in particle astrophysics - Alexander Kryukov (SINP MSU)

4:50 PM Using conditional variational autoencoders to generate images from atmospheric Cherenkov telescopes - Stanislav Polyakov (SINP MSU)

5:05 PM Using Conditional GAN to Control the Statistical Characteristics of the Generated Images from Imaging Atmospheric Cherenkov Telescopes - Yulia Dubenskaya (SINP MSU)

5:20 PM Energy reconstruction with machine learning techniques in JUNO: aggregated features approach - Arsenii Gavrikov (HSE University, JINR)

5:35 PM Deep neural network applications for particle tracking at the BM@N and SPD experiments - Pavel Goncharov (Joint Institute for Nuclear Research)

5:50 PM Study of the VH(bb) production by MVA methods - Faig Ahmadov (JINR & IP ANAS)

6:05 PM Decision trees as an alternative for particle identification with TPC and TOF detector system - Vladimir Papoyan (JINR)

6:20 PM Identification of similarities and differences in water bodies in terms of photosynthetic activity and response to toxicants using Machine Learning methods - Sergei Khruschev (Lomonosov Moscow State University) Roman Chervitsov (Lomonosov Moscow State University)

6:35 PM Model interpretability methods for high energy physics analysis - Andrei Zaborenko (Moscow State University)
Thursday, July 7, 2022
10:00 AM
10:00 AM - 11:00 AM
Contributions

10:00 AM TAIGA Astrophysical Complex – status, results, plans - L. Kuzmichev (SINP MSU)

10:30 AM Decomposition of Spectral Contour into Gaussian Bands using Gender Genetic Algorithm - Sergei Dolenko (D.V.Skobeltsyn Institute of Nuclear Physics, M.V.Lomonosov Moscow State University)

10:45 AM Relation Extraction from Texts Containing Pharmacologically Significant Information on base of Multilingual Language Models - Anton Selivanov (NRC "Kurchatov Institute")
11:00 AM Coffee break
Coffee break
11:00 AM - 11:20 AM
11:20 AM
11:20 AM - 1:05 PM
Contributions

11:20 AM Sponsor report - Softline - V. Nesterov (Softline )

11:50 AM Quantum end-to-end-IT of self-organized intelligent controller design based on quantum deep machine learning: Quantum neural networks and quantum genetic algorithms applications in quantum intelligent control of classical systems – quantum supremacy - Sergey Ulyanov (JINR)

12:05 PM Stochastic vs. BFGS Training in Neural Discrimination of RF-Modulation - Maria Dima (JINR - MLIT)

12:20 PM Deep learning approach to high dimensional problems of quantum mechanics - Vladimir Roudnev (St-Petersburg State University)

12:35 PM Neural Networks Application to Classification of Credit Institutions - Anastasiya Prikazchikova

12:50 PM A spiking neural network with fixed synaptic weights based on logistic maps for a classification task - Dmitriy Kunitsyn (National Research Nuclear University MEPhI)
1:05 PM Lunch
Lunch
1:05 PM - 2:00 PM
2:00 PM
2:00 PM - 4:00 PM
Contributions

2:00 PM IT ecosystem based on machine learning methods and data analysis technologies for radiobiological research - Oksana Streltsova (JINR)

2:30 PM Application of a neural network approach to the task of the arena marking for the behavioral test «Open Field» - Anastasia Anikina (Igorevna)

2:45 PM Google Earth Engine and machine learning for Earth monitoring - Alexander Uzhinskiy (Dr.)

3:00 PM Data-driven approximation of downward solar radiation flux based on all-sky optical imagery using machine learning models trained on DASIO dataset. - Vasilisa Koshkina (Moscow Institute of Physics and Technology (National Research University))

3:15 PM Аrtificial neural networks for multi-label cloud types classification from all-sky optical imagery over the ocean. - Nikita Veremev

3:30 PM Approximation of high-resolution surface wind speed in the North Atlantic using discriminative and generative neural models based on RAS-NAAD 40-year hindcast - Vadim Rezvov (MIPT)

3:45 PM Underwater biotope mapping: automatic processing of underwater video data - Oleg Iakushkin (Saint-Petersburg State University)
4:00 PM Coffee break
Coffee break
4:00 PM - 4:20 PM
4:20 PM
4:20 PM - 6:25 PM
Contributions

4:20 PM Hazy Images Dataset With Localized Light Sources For Experimental Evaluation Of Dehazing Methods - Andrei Filin (Tula State University)

4:35 PM Neural network recovery of missing data of one geophysical method from known data of another one in solving inverse problems of exploration geophysics. - Igor Isaev (D.V.Skobeltsyn Institute of Nuclear Physics, M.V.Lomonosov Moscow State University, Moscow, Russia; Kotelnikov Institute of Radio Engineering and Electronics, Russian Academy of Sciences, Moscow, Russia)

4:50 PM Предсказание матрицы контактов для коротких пептидов с использованием свёрточной нейронной сети - Artem Maminov (FRC CSC RAS)

5:05 PM Visual clustering of ocean sediment grains using a combination of unsupervised machine learning methods. - Viktor Golikov

5:20 PM Accuracy of COVID-19 evolution models for different forecast horizons - Saveliy Zavertyaev (National Research Centre "Kurchatov Institute")

5:35 PM Taking into Account Mutual Correlations during Selection of Significant Input Features in Neural Network Solution of Inverse Problem s of Spectroscopy - Nickolay Shchurov (Faculty of Physics Lomonosov Moscow State University)

5:50 PM In situ wind speed nowcasting using data-driven approach. - Viktor Golikov
Friday, July 8, 2022
10:00 AM
10:00 AM - 11:15 AM
Contributions

10:00 AM Sponsor report - Softline - E. Surzhikov (Softline)

10:30 AM Sponsor report - RSC group - A. Katenev (RSC group )

10:45 AM ML/DL/HPC Ecosystem of the HybriLIT Heterogeneous Platform (MLIT JINR): New Opportunities for Applied Research - Maxim Zuev (JINR)

11:00 AM Analytical platform for intellectual labour market analysis - Anna Ilina (Joint Institute for Nuclear Research)
11:15 AM
11:15 AM - 12:00 PM
Contributions

11:15 AM Neuromorphic Improvement of the Weizsaecker Formula - Mihai-Octavian Dima (JINR - MLIT)

11:15 AM NARX Neural Prediction of Oscilational Instability at the IBR-2M reactor - Mihai-Tiberiu Dima (JINR - MLIT)

11:15 AM Sampling of Integrand for Integral Calculation Using Shallow Neural Network - Vladimir Papoyan (JINR)

11:15 AM The Monte Carlo simulation of MiniSPD stand - Nurlan Barlykov Vladimir Dudin (Dmitrievich)

11:15 AM Анализ данных в образовательной деятельности университета «Дубна» - Кристина Жаткина

11:15 AM Application of machine learning methods to determine the state of the cardiovascular system based on the analysis of indicators of a quantum phase space of the rhythm of the cardiovascular system - A.I. Tsvetkov (Tver state university)

11:15 AM Algorithmic block for behavioral tests in the BIOHLIT information system for radiobiological studies - Yuri Butenko (JINR)
12:00 PM Closing
Closing
12:00 PM - 12:15 PM

1:00 PM BBQ
BBQ
1:00 PM - 8:00 PM

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