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−SIDEBAR
About (Call for Paper)
News
Program (PDF)
Book of abstracts (PDF)
Topics
Important Days
List of participants
Registration
Participation fee
Труды
Статус трудов
Place & Accommodation
Social events
Pictures
PREVIOUS DLCP
DLCP2023
DLCP-2022
DLCP-2021
DLC-2020
DLC-2019
DLC-2018
DLC-2018. Kick off
CONTACTS
dlcp2024@sinp.msu.ru
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dlcp2024:start
−TABLE OF CONTENTS
* Last News
* Труды конференции
* The 8th International Conference on Deep Learning in Computational Physics
* Organizers
* The main topics
* Important dates
* Registration and abstract submission
* Registration fee
* Proceedings
* Place and transportation
* Accommodation
* Program committee
* Organizing committee
* Partners
* Contacts
LAST NEWS
ТРУДЫ КОНФЕРЕНЦИИ
18 октября 2024г.
Final Notification of paper acceptance is Sep.30 → Oct.15, 2024 → Oct.24, 2024
После принятия работы к публикации в журнале, при необходимости, с авторами
будет связываться редакция.
Окончательный срок приема исправленных версий статей - 17 сентября, 2024.
После 17 сентября работы, имеющие статус “На исправлении” будут сняты с
публикации.
→ Read more...
24/03/2024 18:32 · admin
THE 8TH INTERNATIONAL CONFERENCE ON DEEP LEARNING IN COMPUTATIONAL PHYSICS
June 19-21, 2024
SINP MSU, Moscow, Russia
Official website DLCP2024: https://dlcp2024.sinp.msu.ru
We are pleased to invite you to participate to the DLCP2024 – The 8th
International Conference on Deep Learning in Computational Physics which will be
held at the Skobeltsin Institute of Nuclear Physics of Lomonosov Moscow State
University (MSU) on June 19-21, 2024.
The conference will be held in a mixed format: face-to-face and remote.
The conference focuses on the use of machine learning in particle astrophysics
and high energy physics, physics of atmosphere and other areas of natural
sciences. 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.
ORGANIZERS
M.V. Lomonosov Moscow State University, D.V. Skobeltsyn Institute of Nuclear
Physics (SINP MSU, Moscow, Russia) Shirshov Institute of Oceanology, Russian
Academy of Sciences (Moscow, Russia) Research Computing Center of the Lomonosov
Moscow State University (RCC MSU, Moscow, Russia) Joint Institute for Nuclear
Research, Meshcheryakov Laboratory of Information Technologies (MLIT JINR,
Dubna, Russia)
THE MAIN TOPICS
Section 1. Machine Learning in Fundamental Physics
* Machine learning methods in particle astrophysics and high energy physics.
* Fast event generators based on machine learning for simulation of physics
phenomena.
* Multi-messenger data analysis of experimental data.
* Application machine learning for data analysis in megascience facilities.
Section 2. Machine Learning for Environmental Sciences
* Climate analysis, retrospective analysis and projection
* Statistical modeling of the ocean and atmosphere on various temporal and
spatial scales
* Environmental monitoring: remote sensing, instrumental monitoring,
observations, monitoring networks
Section 3. Machine Learning in Natural Sciences
* Biology and bioinformatics.
* Engineering sciences.
* Modern Machine Learning Methods
The conference will feature:
* invited presentations – 30 minutes,
* regular presentations – 15 minutes,
IMPORTANT DATES
* Registration — until June 10, 2024
* Final deadline for abstract submission — June 3, 2024 → June 6, 2024 → June
9, 2024
* Notification of report acceptance — June 10, 2024
* Conference dates - June 19-21, 2024
* Paper submission — August 12, 2024 → August 26, 2024
REGISTRATION AND ABSTRACT SUBMISSION
The registration and abstract submission should be done via the website:
Registration and abstract submission.
REGISTRATION FEE
To participate in the conference, you must purchase a ticket through the TimePad
service. Organizational support for the conference is provided by the conference
partner IP Laboratory Russia.
The ticket price includes organizational expenses, participation support, coffee
breaks, preparation of conference materials, including publication of
proceedings.
Accommodation and social events are not included and must be paid for separately
by participants.
On site participation:
* Participant - 6000 ₽ (Early registration, before June 10 - 5000 ₽)
* Student, PhD Student - 2000 ₽ (Early registration, before June 10 - 1000 ₽)
Online (remote participation):
* Рarticipants with accepted report for each - 4000 ₽
* Students and PhD Student with accepted report for each (first author in the
list) - 1000 ₽
* Online participants without report including co-authors - free of charge
If you plan to participate in person or have received confirmation that your
report is included in the conference program, then you need to buy a ticket by
clicking on the link of DLCP2024 event on the Timepad service.
Attention! Payment for participation must be made no later than June 18.
Otherwise, you will be excluded from the list of participants.
Please send confirmation of payment to the conference email
dlcp2024@sinp.msu.ru.
BUY A TICKET FOR THE DLCP2024
PROCEEDINGS
After blind peer review, all accepted papers will be published in the conference
proceedings as a special issue of the journal Moscow University Physics Bulletin
in 2024 in both electronic and paper form. The journal is published in English
by Springer and indexed in the databases WoS and Scopus and is included in the
Russian index RCSI too.
We invite three types of submissions:
INVITED PAPERS until 30 pages
REGULAR PAPERS describe research not published or submitted elsewhere (12-15
pages).
SHORT PAPERS may be position papers, descriptions of research prospects,
challenges, projects, ongoing works, or applications (5-9 pages).
PLACE AND TRANSPORTATION
The Skobeltsyn Institute of Nuclea Physics of MSU (Leninskie gory-1, bld.5,
Moscow, Russia, near by metro “Universitet”). The ZOOM link will only be sent to
registered participants 2 days before the start of the conference.
ACCOMMODATION
Conference participants have to make hotel reservations on their own and in
advance. Sorry, NO VISA support.
PROGRAM COMMITTEE
* A. Kryukov (SINP MSU, Moscow) — Co-Chairman
* S. Gulev, corresponding member of the RAS (SAIL, IORAS, Moscow) — Co-Chairman
* E. Boos, corresponding member of the RAS (SINP MSU, Moscow)
* S. Dolenko (SINP MSU, Moscow)
* D. Gorbunov, corresponding member of the RAS (INR RAS, Moscow)
* V. Ilyin (NRC “Kurchatov Institute”, Moscow)
* M. Krinitskiy (ML4ESlab, MIPT, Moscow)
* V. Korenkov (MLIT JINR, Dubna)
* V. Voevodin, corresponding member of the RAS (RCC MSU, Moscow)
ORGANIZING COMMITTEE
* E.G. Boos (SINP MSU, Moscow) -secretary
* S. Dolenko (SINP MSU, Moscow)
* M. Krinitskiy (ML4ESlab, MIPT, Moscow)
* A. Kryukov (SINP MSU, Moscow)
* A. Suslov (IORAS, Moscow)
PARTNERS
Группа компаний РСК — ведущий российский и хорошо известный в мире разработчик и
интегратор «полного цикла» инновационных энергоэффективных, высокоплотных,
масштабируемых решений с жидкостным охлаждением для высокопроизводительных
вычислений и систем для машинного/глубокого обучения (High-Performance
Computing, Machine Learning/Deep Learning), центров обработки данных (ЦОД), Edge
Computing решений и интеллектуальных систем хранения данных «по требованию»
(storage-on-demand). АйПи Лаборатория - консалтинговая компания, работающая в
области искусственного интеллекта. Мы выпускаем аналитику, делаем
образовательные программы, организуем конференции. Наш самый известный проект -
Открытая конференция по искусственному интеллекту OpenTalks.AI
CONTACTS
All correspondence should be addressed by e-mail: dlcp2024@sinp.msu.ru.
dlcp2024/start.txt · Last modified: 25/08/2024 21:02 by admin
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