Kurse und Veranstaltungen für Studenten der Mathematik in Italien
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XIII International Summer School on Risk Measurement and Control
03. Jun 2020 - 06. Jun 2020 • Rom, Italien
Summer School — An introduction to the Langlands correspondence
15. Jun 2020 - 19. Jun 2020 • Pisa, Italien
The school aims at introducing young researchers to the very active and exciting research area related to the so called Langland correspondence. The school will discuss the recent developments concerning local Langlands, together with the more arithmetic recent achievements.
5th Erice Summer School on "Graph Theory, Algorithms and Applications"
01. Jul 2020 - 08. Jul 2020 • Erice, Sicily, Italien
Graph problems have applications in many fields and typically require multidisciplinary approaches. The fifth edition of this school aims to bring together leading scientists, junior researchers and PhD students from several areas in order to discuss, possibly in a systematic and organic way, different approaches for solving graph problems. The school is organized in plenary lectures held by internationally renowned speakers. The intended audience consists of PhD students and junior researchers interested in graph problems, coming from several areas including (but not limited to) the design, analysis and experimentation of algorithms, operations research, optimization, and discrete mathematics.
RegML 2020 — Regularization Methods for Machine Learning
06. Jul 2020 - 03. Jul 2020 • Genova, Italien
RegML is a 20 hours advanced machine learning course including theory classes and practical laboratory sessions. The course covers foundations as well as recent advances in Machine Learning with emphasis on high dimensional data and a core set techniques, namely regularization methods. In many respects the course is a compressed version of the 9.520 course at MIT.
Poisson 2020 — Summer School & International Conference
06. Jul 2020 - 17. Jul 2020 • Neapel, Italien
Department of Mathematics of the University of Salerno
Poisson 2020 is the 12nd in a series of international conferences on Poisson geometry. It will be held in the Department of Mathematics of the University of Salerno, Fisciano (SA), and the Accademia Pontaniana, Napoli, Italy. The event comprises: - a Summer School (July 6 - 10), aimed at students in their final years, PhD students and young researchers. - an International Conference (July 13 - 17), to be attended by students and researches from around the world, including some of the leading mathematicians in the field of Poisson Geometry. Links to the previous conferences in the series can be found at the Poisson Geometry Home Page: www.lpthe.jussieu.fr/~dito/poissongeometry.
ICVSS 2020 — International Computer Vision Summer School Perception, Learning and Action
12. Jul 2020 - 18. Jul 2020 • Punta Sampieri, Sicily, Italien
The fourteenth edition of the International Computer Vision Summer School aims to provide both an objective and clear overview and an in-depth analysis of the state-of-the-art research in Computer Vision. The last decade has seen a revolution in the theory and application of computer vision and machine learning. The next decade will see machine perception in embodied systems which learn representations for and from action and interaction. The courses will be delivered by world renowned experts in the field, from both academia and industry, and will cover both theoretical and practical aspects of real Computer Vision problems as well as examples of their successful commercialization
MESS 2020 — Metaheuristics Summer School ~ Learning & Optimization from Big Data
27. Jul 2020 - 31. Jul 2020 • Catania, Italien
The international Metaheuristics Summer School is aimed at qualified and strongly motivated MSc and PhD students; post-docs; young researchers, and both academic and industrial professionals to provide an overview on the several metaheuristics techniques, and an in-depth analysis of the state-of-the-art. The main theme of the 2020 edition is "Learning and Optimization from Big Data", therefore MESS 2020 wants to focus on (i) Learning for Metaheuristics; (ii) Optimization in Machine Learning; and (iii) how Optimization and Learning affect the Metaheuristics making them relevant in handling Big Data.
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Stand vom 20. Februar 2020