Advanced Artificial Intelligence for Precision High Energy Physics

from Sunday 16 July 2023 (16:00) to Friday 28 July 2023 (17:30)
Lake Como School for Advanced Studies

        : Sessions
    /     : Talks
        : Breaks
17 Jul 2023
18 Jul 2023
19 Jul 2023
20 Jul 2023
21 Jul 2023
24 Jul 2023
25 Jul 2023
26 Jul 2023
27 Jul 2023
28 Jul 2023
AM
09:00 Machine learning techniques - Tilman Plehn (Heidelberg University)  
11:00 --- Coffee break ---
11:30 Quantum Chromodynamics - Jennifer Smillie (Higgs Centre for Theoretical Physics, Edin. U.)  
09:00 Machine learning techniques - Tilman Plehn (Heidelberg University)  
11:00 --- Coffee break ---
11:30 Quantum Chromodynamics - Jennifer Smillie (Higgs Centre for Theoretical Physics, Edin. U.)  
09:00 Machine learning techniques - Tilman Plehn (Heidelberg University)  
11:00 --- Coffee break ---
11:30 Quantum Chromodynamics - Jennifer Smillie (Higgs Centre for Theoretical Physics, Edin. U.)  
09:00 Machine learning techniques - Tilman Plehn (Heidelberg University)  
11:00 --- Coffee break ---
11:30 Quantum Chromodynamics - Jennifer Smillie (Higgs Centre for Theoretical Physics, Edin. U.)  
09:00 Quantum Chromodynamics - Jennifer Smillie (Higgs Centre for Theoretical Physics, Edin. U.)  
11:00 --- Coffee break ---
11:30 Machine learning techniques - Tilman Plehn (Heidelberg University)  
09:00 Bayesian methods and data analysis - Maurizio Pierini (CERN)  
11:00 --- Coffee break ---
11:30 Quantum Machine Learning - Artur Garcia (Barcelona Supercomputing Center)  
09:00 Bayesian methods and data analysis - Maurizio Pierini (CERN)  
11:00 --- Coffee break ---
11:30 Quantum Machine Learning - Artur Garcia (Barcelona Supercomputing Center)  
09:00 Bayesian methods and data analysis - Maurizio Pierini (CERN)  
11:00 --- Coffee break ---
11:30 Quantum Machine Learning - Artur Garcia (Barcelona Supercomputing Center)  
09:00 Bayesian methods and data analysis - Maurizio Pierini (CERN)  
11:00 --- Coffee break ---
11:30 Quantum Machine Learning - Artur Garcia (Barcelona Supercomputing Center)  
09:00 Bayesian methods and data analysis - Maurizio Pierini (CERN)  
11:00 --- Coffee break ---
11:30 Quantum Machine Learning - Artur Garcia (Barcelona Supercomputing Center)  
PM
13:30 --- Lunch break ---
15:00 Click on the materials for a link to a Github repository containing all jupyter notebooks used during the tutorials - Roy Stegeman  
13:30 --- Lunch ---
15:00 Tutorials: (NLO) theory predictions crash course - Mr Christopher Schwan (Universität Würzburg)  
13:30 --- Lunch break ---
15:00 Tutorials: PDF and couplings evolution - Giacomo Magni (Nikhef, VU Amsterdam)  
13:30 --- Lunch break ---
15:00 Tutorials: Machine Learning 101: using ML concepts and techniques for regression and classification - Andrea Barontini (Università degli studi di Milano)  
13:30 --- Lunch break ---
15:00 Tutorials: Applying Machine Learning techniques to real life HEP problems - Dr Juan M. Cruz Martinez (CERN)  
13:30 --- Lunch break ---
15:00 Tutorials: Bayesian inference tools - Tommaso Giani (Nikhef National institute for subatomic physics (NL))  
13:30 --- Lunch break ---
15:00 Tutorials: Quantum computing - Andrea Pasquale (University of Milan)  
13:30 --- Lunch break ---
15:00 Tutorials: Quantum Machine Learning - Matteo Robbiati (Università degli Studi e INFN Milano (IT))  
20:00 --- Conference Dinner ---
13:30 --- Lunch break ---
15:00 Tutorials: Exercise - SM Bayesian fit - Alessandro Candido  
13:30 --- Lunch break ---