no code implementations • 12 Mar 2021 • Viacheslav M Sadykov, Irina N Kitiashvili, Alberto Sainz Dalda, Vincent Oria, Alexander G Kosovichev, Egor Illarionov
The train subset was used to train the autoencoder of the varying embedding layer size.
Solar and Stellar Astrophysics Instrumentation and Methods for Astrophysics
no code implementations • 22 Jun 2020 • Gelu Nita, Manolis Georgoulis, Irina Kitiashvili, Viacheslav Sadykov, Enrico Camporeale, Alexander Kosovichev, Haimin Wang, Vincent Oria, Jason Wang, Rafal Angryk, Berkay Aydin, Azim Ahmadzadeh, Xiaoli Bai, Timothy Bastian, Soukaina Filali Boubrahimi, Bin Chen, Alisdair Davey, Sheldon Fereira, Gregory Fleishman, Dale Gary, Andrew Gerrard, Gregory Hellbourg, Katherine Herbert, Jack Ireland, Egor Illarionov, Natsuha Kuroda, Qin Li, Chang Liu, Yuexin Liu, Hyomin Kim, Dustin Kempton, Ruizhe Ma, Petrus Martens, Ryan McGranaghan, Edward Semones, John Stefan, Andrey Stejko, Yaireska Collado-Vega, Meiqi Wang, Yan Xu, Sijie Yu
The authors of this white paper met on 16-17 January 2020 at the New Jersey Institute of Technology, Newark, NJ, for a 2-day workshop that brought together a group of heliophysicists, data providers, expert modelers, and computer/data scientists.
1 code implementation • 15 Jun 2020 • Egor Illarionov, Alexander Kosovichev, Andrey Tlatov
Identification of solar coronal holes (CHs) provides information both for operational space weather forecasting and long-term investigation of solar activity.
Solar and Stellar Astrophysics
no code implementations • 7 Apr 2018 • Egor Illarionov, Roman Khudorozhkov
State-of-the-art machine learning algorithms demonstrate close to absolute performance in selected challenges.