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SUMMARY:Machine Learning at GGI - Conference
DTSTART:20220905T070000Z
DTEND:20220909T144500Z
DTSTAMP:20230928T113200Z
UID:indico-event-32052@agenda.infn.it
DESCRIPTION: \n\nAbstract\nMachine learning (ML) is nowadays an important
toolbox for theoretical and experimental physics\, and its importance is
expected to steadily grow in the coming years. Thanks to its effectiveness
and extreme flexibility\, it allows for applications covering a huge set
of topics\, ranging from statistical data analysis\, to simulation and mod
eling. For this reason ML has been successfully used in very different res
earch areas\, such as high-energy physics\, astrophysics and cosmology\, c
ondensed matter and statistical physics.\n\nApplications in different doma
ins often share strong similarities either in the problems to be solved or
in the methodology employed. This motivates a fruitful exchange of ideas\
, which however is seldom achieved in practice due to the distance among d
ifferent research communities.\n\nThe aim of the workshop is to bring toge
ther researchers with interests and expertise in ML from different fields
in physics\, strongly encouraging and promoting cross-topic exchange of id
eas and collaborations. Three broad research areas will be covered:\n- Hig
h-Energy Physics\n- Astrophysics\, Cosmology and Astroparticles\n- Condens
ed Matter and Statistical Physics (including Quantum Information)\n\nThe d
istinctive trait of the workshop will be the focus on theoretical physics
in a broad sense\, including data analysis as well as simulation and model
ling.\n\n\n\nTopics\n- Methods for regression and statistical analysis\n-
Monte Carlo integration and simulation\n- Anomaly detection\n- Classificat
ion\n- Time series analysis\n- Clustering and multi-dimensional visualizat
ion\n- Equation solving\n- Artificial intelligence-inspired and -augmented
science\n- Statistical physics algorithms for optimization and learning p
roblems\n- Quantum machine learning\n\n\nOrganizers\nMassimo Brescia (INAF
Napoli)\nFilippo Caruso (U. Firenze)\nS. George Djorgovski (Caltech)\nDuc
cio Fanelli (U. Firenze)\nAlessandro Marconi (U. Firenze)\nFlorian Marquar
dt (Max Planck Erlangen)\nGiuliano Panico (U. Firenze)\nJesse Thaler (MIT)
\nAndrea Wulzer (CERN & U. Padova)\n\n\nLocal organizer\nGiuliano Panico (
U. Firenze)\n\nContact\ngiuliano.panico@unifi.it\n\nhttps://agenda.infn.it
/event/32052/
URL:https://agenda.infn.it/event/32052/
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