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notitle
Opening remarks
Day 1
Day 2
Day 3
notitle
Day 4
Day 5
Day 6
Day 7
PARTICIPANTS' POSTER SESSION
Day 8
Day 9
Day 10
Day 11
Day 12
Day 13
Day 14
Day 15
Day 16
Day 17
Day 18
Day 19
Special NETADIS Session on Statistical Mechanics of Inference
Day 20
Day 21
Day 22
Displaying
66
contributions
out of
66
EXAM SESSION - Evolution of Neuronal Computation
Session:
Day 22
EXAM SESSION - Introduction to random matrix theory and its applications
Session:
Day 16
EXAM SESSION - Morphogenesis: from physical to biological systems
Session:
Day 9
EXAM SESSION - Statistical inference, Optimization and Machine Learning
Session:
Day 15
EXAM SESSION - Statistical methods for quantitative finance
Session:
Day 22
Evolution of Neuronal Computation - 1
Session:
Day 2
MPCS_Treves_course.pdf
Evolution of Neuronal Computation - 2
Session:
Day 4
Evolution of Neuronal Computation - 3
Session:
Day 5
Evolution of Neuronal Computation - 4
Session:
Day 6
Evolution of Neuronal Computation - 5
Session:
Day 14
Evolution of Neuronal Computation - 5
Session:
Day 15
Evolution of Neuronal Computation - 6
Session:
Day 17
Evolution of Neuronal Computation - 6
Session:
Day 16
Evolution of Neuronal Computation - 7
Session:
Day 18
Evolution of Neuronal Computation - 8
Session:
Day 19
Evolution of Neuronal Computation - 9
Session:
Day 20
Extended Plefka Expansion for Stochastic Dynamics
Session:
Special NETADIS Session on Statistical Mechanics of Inference
Abstract_BRAVI.pdf
Group Photo
Session:
Day 9
Identifying relevant positions in proteins by Critical Variable Selection
Session:
Special NETADIS Session on Statistical Mechanics of Inference
Abstract_GRIGOLON.pdf
Introduction to random matrix theory and its applications - 1
Session:
Day 3
Introduction to random matrix theory and its applications - 2
Session:
Day 5
Introduction to random matrix theory and its applications - 3
Session:
Day 7
Introduction to random matrix theory and its applications - 4
Session:
Day 8
Introduction to random matrix theory and its applications - 5
Session:
Day 9
Introduction to random matrix theory and its applications - 6
Session:
Day 10
Introduction to random matrix theory and its applications - 7
Session:
Day 11
Introduction to random matrix theory and its applications - 8
Session:
Day 12
Introduction to random matrix theory and its applications - 9
Session:
Day 13
Morphogenesis: from physical to biological systems - 1
Session:
Day 3
Morphogenesis: from physical to biological systems - 2
Session:
Day 3
Morphogenesis: from physical to biological systems - 3
Session:
Day 4
Morphogenesis: from physical to biological systems - 4
Session:
Day 4
Morphogenesis: from physical to biological systems - 5
Session:
Day 5
Morphogenesis: from physical to biological systems - 6
Session:
Day 6
Morphogenesis: from physical to biological systems - 7
Session:
Day 6
Morphogenesis: from physical to biological systems - 7
Session:
Day 7
Morphogenesis: from physical to biological systems - 8
Session:
Day 7
Morphogenesis: from physical to biological systems - 9
Session:
Day 8
Registration
Session:
notitle
Research Seminar - "Statistical Physics of Opinion Formation"
Session:
Day 9
Abstract_SEN.pdf
Seminar - "Isometric representation of sensory stimulations by the temporal structure of neural activity"
Session:
Day 16
Abstract_BRASSELET.pdf
Seminar - "Many body localization and integrals of motion"
Session:
Day 16
Abstract_ROS.pdf
Seminar - "Statistical scoring functions for protein folding and docking pose recognition"
Session:
Day 16
Abstract_SARTI.pdf
Seminar: "Thermodynamics of error corrections"
Session:
Day 21
Abstract_PIGOLOTTI.pdf
Special NETADIS Session on Statistical Mechanics
Session:
Day 19
Statistical inference, Optimization and Machine Learning - 1
Session:
Day 1
Statistical inference, Optimization and Machine Learning - 2
Session:
Day 11
Statistical inference, Optimization and Machine Learning - 2
Session:
Day 1
Statistical inference, Optimization and Machine Learning - 3
Session:
Day 2
Statistical inference, Optimization and Machine Learning - 4
Session:
Day 2
Statistical inference, Optimization and Machine Learning - 5
Session:
Day 10
Statistical inference, Optimization and Machine Learning - 6
Session:
Day 10
Statistical inference, Optimization and Machine Learning - 7
Session:
Day 11
Statistical inference, Optimization and Machine Learning - 8
Session:
Day 12
Statistical inference, Optimization and Machine Learning - 9
Session:
Day 13
Statistical methods for quantitative finance - 1
Session:
Day 13
Statistical methods for quantitative finance - 2
Session:
Day 14
Statistical methods for quantitative finance - 3
Session:
Day 15
Statistical methods for quantitative finance - 4
Session:
Day 16
Statistical methods for quantitative finance - 5
Session:
Day 17
Statistical methods for quantitative finance - 6
Session:
Day 18
Statistical methods for quantitative finance - 7
Session:
Day 19
Statistical methods for quantitative finance - 8
Session:
Day 20
Statistical methods for quantitative finance - 9
Session:
Day 21
The cavity method in routing optimization problems on networks
Session:
Special NETADIS Session on Statistical Mechanics of Inference
Abstract_DE_BACCO.pdf
Visit to SISSA
Session:
Day 11
Organizers
Andrea Gambassi, Silvio Franz, Alessandro Pelizzola, Matteo Marsili -
ICTP Local Organizer: Matteo Marsili
MPCS_Treves_course.pdf