dlcp2023:start
Differences
This shows you the differences between two versions of the page.
| Both sides previous revisionPrevious revisionNext revision | Previous revisionLast revisionBoth sides next revision | ||
| dlcp2023:start [02/04/2023 22:57] – [The 7th International Conference on Deep Learning in Computational Physics] stepanova | dlcp2023:start [25/06/2023 08:23] – [Sponsors] admin | ||
|---|---|---|---|
| Line 6: | Line 6: | ||
| ====== The 7th International Conference on Deep Learning in Computational Physics ====== | ====== The 7th International Conference on Deep Learning in Computational Physics ====== | ||
| - | **June 21-23, 2023 \\ SPbSU, St.-Petersburg, | + | **June 21-23, 2023 \\ SPbSU, St.-Petersburg, |
| **Official website DLCP2023:** [[https:// | **Official website DLCP2023:** [[https:// | ||
| Line 16: | Line 16: | ||
| 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. | 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. | ||
| - | The working languages are English and Russian | + | The working languages are English and Russian. |
| ===== Organizers ===== | ===== Organizers ===== | ||
| - | [[https:// | + | [[https:// |
| [[http:// | [[http:// | ||
| [[https:// | [[https:// | ||
| Line 26: | Line 26: | ||
| [[http:// | [[http:// | ||
| - | [[https:// | + | [[https:// |
| - | [[https:// | + | [[https:// |
| [[https:// | [[https:// | ||
| ===== The main topics ===== | ===== The main topics ===== | ||
| - | **Track 1.** Machine Learning in Physics | + | **Track 1.** Machine Learning in Fundamental |
| * Machine learning methods in particle astrophysics and high energy physics. | * Machine learning methods in particle astrophysics and high energy physics. | ||
| * Fast event generators based on machine learning for simulation of physics phenomena. | * Fast event generators based on machine learning for simulation of physics phenomena. | ||
| Line 62: | Line 62: | ||
| ===== Important dates ===== | ===== Important dates ===== | ||
| * Registration — until June 7, 2023 | * Registration — until June 7, 2023 | ||
| - | * Deadline for abstract submission — May 23, 2023 | + | * Deadline for abstract submission — <del>May 23, 2023</ |
| * Notification of report acceptance — June 7, 2023 | * Notification of report acceptance — June 7, 2023 | ||
| * Conference dates - June 21-23, 2023 | * Conference dates - June 21-23, 2023 | ||
| Line 129: | Line 129: | ||
| * A. Demichev (SINP MSU, Moscow) | * A. Demichev (SINP MSU, Moscow) | ||
| * A. Kryukov (SINP MSU, Moscow) | * A. Kryukov (SINP MSU, Moscow) | ||
| - | * V. Rudnev, (SPbSU, SPb) | ||
| * T. Trushina, (SPbSU, SPb) | * T. Trushina, (SPbSU, SPb) | ||
| + | * M. Andreev, (SPbSU, SPb) | ||
| + | * D. Polyakov, (SPbSU, SPb) | ||
| ===== Contacts ===== | ===== Contacts ===== | ||
| All correspondence should be addressed by e-mail: < | All correspondence should be addressed by e-mail: < | ||
| + | ===== Sponsor ===== | ||
| + | |||
| + | [[https:// | ||
dlcp2023/start.txt · Last modified: 12/08/2023 22:46 by admin