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SUMMARY:Erice International School on Complexity: the XVIII Course "Machin
 e Learning approaches for complexity"
DTSTART:20240422T070000Z
DTEND:20240428T160000Z
DTSTAMP:20260415T101900Z
UID:indico-event-2901@indico.fysik.lu.se
CONTACT:roman.pasechnik@fysik.lu.se
DESCRIPTION:Speakers: Matteo Lulli (The Chinese University of Hong Kong\, 
 Hong Kong\, China)\, Antonino Marciano (Fudan University\, China & INFN Fr
 ascati\, Italy)\, Emanuele Zappala (Idaho State University\, USA)\, Roman 
 Pasechnik (Lunds universitet)\n\n\n\nThis Course belongs to the series Int
 ernational School on Complexity\, directed by A. Zichichi\, and co-directe
 d by G. Benedek\, A. Rapisarda and C. Tsallis. It will be held at the Etto
 re Majorana Foundation and Centre for Scientific Culture in Erice\, Italy 
 during the period April 22-28th\, 2024.\n\nPurpose of the Course:\n\nThe m
 ain focus of the Course is to connect the mathematical foundation of comp
 lex systems to quantum computing and artificial intelligence\, and to eluc
 idate the applications of these approaches in several different fields of
  natural sciences.\n\nThe main topics of this Course include fundamental p
 hysics applications of machine learning and artificial intelligence includ
 ing quantum machine learning. Several experts will be invited to give lec
 tures on selected topics to PhD students and young scientists with interes
 ts in theoretical physics\, material science\, statistical physics and c
 omputer science.\n\nThe Course is directed primarily for PhD students and
  young researchers whose interests and research are connected to complex 
 systems\, machine learning methods and their applications. Senior resear
 chers and participants from non-academic (industrial) background are ver
 y welcome to attend the School as well\, subject to availability of space
 .\n\nA limited number of oral contributions and poster presentations will 
 be accepted.\n\nFormat of the Course:\n\nArrival day: 22nd of April\nDepar
 ture day: 28th of April\n\nWe plan for a hybrid (in-person & online) event
 . All the lectures and presentations will be broadcasted via Zoom.\n\nThe
  hybrid format will also be applied for coffee breaks\, welcome drink and 
 School dinner so that on-site and remote participants would stay connecte
 d and have an opportunity for informal discussions.\n\nTuition fee and reg
 istration:\n\nAll participants of the Course are required to fill the regi
 stration form. The registration deadline has been extended to\n\n***** Apr
 il 15th 2024 *******\n\nDue to a limited capacity of the auditorium\, in
  order to guarantee availability of space we encourage an early registrati
 on.\n\nUpon acceptance\, participants are requested to pay an all-inclusi
 ve tuition fee which will cover also accommodation in Erice and meals dur
 ing the entire period of the Course plus shuttle services to and from airp
 orts. There is a small fee for online participation too.\n\nInformation a
 bout the fee payment procedure will be communicated to the accepted partic
 ipants via email shortly after the registration has been completed and re
 viewed.\n\nTentative key lecturers and topics:\n\n\n	Filippo Fabrocini -
  Machine Learning and Artificial Intelligence\n	Carlo Cannistraci - Machi
 ne Learning and graph methods\n	Beatriz Seoane - Modelling capabilities of
  energy-based generative models\n	Felipe Freitas - Large Language Models
  and Deep Learning for computer vision and time series: from academia t
 o industry\n	Jonathan Andrew Miller - Applications of Fourier analytic B
 arron Space Theory\n	Aurélien Decelle - Statistical Physics for Machine 
 Learning\n	Christopher Fields - Modelling complex systems as interacting 
 agents\n	Koji Hashimoto - Neural networks\, quantum physics\, and gravity
 \n	Luca Biferale - Data-driven and Equations informed tools for Eulerian 
 and Lagrangian Turbulence\n	Andre Martins - Sparse Communication in Machin
 e Learning and Hopfield Networks\n	Filippo Caruso - Quantum Machine Learn
 ing\n	Sebastian Goldt - Analytical approaches to the learning dynamics of
  neural networks\n	Radmila Sazdanovic - Data\, relations and their shape\n
 \n\nZoom link will be communicated to the registered School participants 
 shortly before the Course starts.\n\nAny inquires about the Course should
  sent via email to Roman.Pasechnik@fysik.lu.se.\n\nOrganising committee:\
 n\n\n	Roman Pasechnik (chair)\n	Antonino Marciano\n	Matteo Lulli\n	Emanuel
 e Zappala\n\n\n               \n\n \n\nhttps://indico.fysik.lu.se
 /event/2901/
LOCATION:Ettore Majorana Foundation and Centre for Scientific Culture\, Er
 ice\, Italy
URL:https://indico.fysik.lu.se/event/2901/
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