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TOUS LES PAYS (12)
1
Machine Learning for Science: Mathematics at the Interface of Data-driven and Mechanistic Modelling
11 jui 2023 - 17 jui 2026 • Oberwolfach, Allemagne
Organisateur:
Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)
Identifiant de l'évènement:
1494959
2
ISNET-10 — 10th International Workshop on Information and Statistics in Nuclear Experiment and Theory
10 nov 2024 - 15 nov 2024 • Shanghai, Chine
Résumé:
The purpose is to maintain ISNET's mission of bringing the nuclear physics and statistical sciences communities together to report on the latest progress and to provide a vehicle for educating and enlightening the nuclear physics community in regard to the application of statistical methodologies that enable nuclear physics to reach more quantitatively rigorous scientific conclusions.
Sujets:
Uncertainty quantification and statistical analysis, Emulators and optimizations, Model mixing and data mining, Machine learning, Bayesian inference, Statistics techniques in nuclear experiments, New frontiers of nuclear physics
Identifiant de l'évènement:
1614070
3
Dagstuhl-Seminar — Graph Algorithms: Distributed Meets Dynamic
17 nov 2024 - 22 nov 2024 • Schloss Dagstuhl, Wadern, Allemagne
Organisateur:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Résumé:
In modern computational systems, the need to handle large-scale inputs imposes interesting computational challenges. Two such challenges are (1) the need to distribute the computation over multiple units, and (2) the dynamic nature of the input, which may undergo changes over time. A particular class of problems studied in these settings is when the input to the computational task is a huge graph. The field of dynamic graph algorithms addresses efficiently processing edge/vertex insertions/deletions in the input graph. In distributed graph algorithms, the input resides across multiple machines, and the goal is to solve the problem while minimizing the number of rounds of communication. Both of these rich research areas have been extensively studied since at least the 1980’s. We know of efficient algorithms for a large variety of tasks, such as shortest paths problems, coloring, subgraph finding, symmetry breaking, approximations, and many more. However, there are still fundamental problems with no known efficient solutions in some of these models, and even more where the exact complexity of computation is yet to be determined. In the recent years, a number of influential works show how transferring ideas from one of these models to the other provides progress on some of the long-lasting open problems. The goal of this Dagstuhl Seminar is to build a bridge between the two research communities of dynamic graph algorithms and distributed computing, by working together on joint research frontiers.
Identifiant de l'évènement:
1589423
4
11th Workshop on Collaborative Scientific Software Development and Management of Open Source Scientific Packages
18 nov 2024 - 29 nov 2024 • ICTP, Trieste, Italie
Organisateur:
Abdus Salam International Centre for Theoretical Physics (ICTP), Trieste, Italy
Identifiant de l'évènement:
1580678
Sujets apparentés:
5
Third School on Data Science and Machine Learning
02 dec 2024 - 06 dec 2024 • São Paulo, Brésil
Organisateur:
South American Institute for Fundamental Research (ICTP-SAIFR)
Identifiant de l'évènement:
1600589
6
ICSDS — IMS International Conference on Statistics and Data Science
16 dec 2024 - 21 dec 2024 • Nice, France
Organisateur:
Institute of Mathematical Statistics (IMS)
Résumé:
The objective of ICSDS is to bring together researchers in statistics and data science from academia, industry, and government in a stimulating setting to exchange ideas on the developments of modern statistics, machine learning, and broadly defined theory, methods, and applications in data science. There will be a student paper award competition, in addition to plenary sessions, and invited, contributed and poster sessions. Young researchers are particularly encouraged to participate, as a portion of the invited sessions will be designated for young researchers.
Identifiant de l'évènement:
1607746
7
Patterns, Dynamics, and Data in Complex Systems
21 jan 2025 - 24 jan 2025 • Providence, RI, États-Unis
Organisateur:
Institute for Computational and Experimental Research in Mathematics (ICERM)
Résumé:
In recent years, new opportunities have emerged for pattern detection and identification in applications using data-scientific approaches. These applications include spiral waves in cardiac dynamics, vegetation patterns in arid ecosystems, and cell organization in biological tissues. The aim of this workshop is to bring together researchers at the interface of these diverse aspects of pattern-formation theory, computation, and applications in order to share ideas and identify new challenges and open problems. The scientific program will focus on the use of dynamical systems methods in the study of pattern formation, as well as the integration of dynamics, data, and computation.
Contact:
ICERM;     Email.: info@icerm.brown.edu
Sujets:
dynamical systems, data science, pattern formation
Identifiant de l'évènement:
1624830
8
Data Assimilation: From Mathematical and Statistical Foundations to Applications
23 fév 2025 - 28 fév 2025 • Oberwolfach, Allemagne
Sujets:
Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)
Identifiant de l'évènement:
1605198
9
Detection, Estimation, and Reconstruction in Networks
21 avr 2025 - 25 avr 2025 • Berkeley, Californie, États-Unis
Organisateur:
Simons Laufer Mathematical Sciences Institute (SLMath)
Résumé:
In a growing number of applications, one needs to analyze and interpret data coming from massive networks. The statistical problems arising from such applications lead to important mathematical challenges: building novel probabilistic models, understanding the possibilities and limitations for statistical detection and inference, designing efficient algorithms, and understanding the inherent limitations of fast algorithms. The workshop will bring together leading researchers in combinatorial statistics, machine learning, and random graphs in the hope of cross-fertilization of ideas.
Sujets:
combinatorial statistics, random graphs, network inference, network reconstruction, detection, estimation
Identifiant de l'évènement:
1571331
10
Data Science Next Conference Europe 2025 — Data Science Next Conference Europe 2025
07 mai 2025 - 09 mai 2025 • Amsterdam, Pays-Bas
Organisateur:
NEXT BUSINESS MEDIA
Résumé:
The Data Science Conference (DSC Next 2025) is a premier event set to take place from May 07 - 09, 2025, in Amsterdam. This conference brings together industry experts, data scientists, researchers, and professionals to explore the latest advancements in data science, machine learning, and artificial intelligence. It offers a platform for participants to network, share insights, and discuss the future of data-driven technologies.
Contact:
EVENT MANAGER;     Tél.: [1 702 551 9568];     Email.: contact@nextbusinessmedia.com
Identifiant de l'évènement:
1637496
11
EMBO Practical Course — Transposable Elements in the Era of Data Science
12 mai 2025 - 16 mai 2025 • Didcot, Royaume-Uni
Organisateur:
European Molecular Biology Organization (EMBO)
Identifiant de l'évènement:
1632184
Sujets apparentés:
12
EMBO Practical Course — Computational modelling of multicellular systems
14 jui 2025 - 20 jui 2025 • Barcelona, Espagne
Organisateur:
European Molecular Biology Organization (EMBO)
Identifiant de l'évènement:
1632298
Sujets apparentés:


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Dernière mise à jour: 12 septembre 2024