Lecturers
Tilman Plehn (Heidelberg University): Machine learning techniques
Jennifer Smillie (Edinburgh University): Quantum Chromodynamics
Artur Garcia (Barcelona Supercomputing Center): Quantum Machine Learning
Maurizio Pierini (CERN): Bayesian methods and data analysis
Tutors
Andrea Barontini (Milan University)
Alessandro Candido (Istituto Nazionale di Fisica Nucleare)
Juan Cruz Martinez (CERN)
Tommaso Giani (NIKHEF and VU Amsterdam)
Felix Hekhorn (Milan University)
Zahari Kassabov (Cambridge University)
Niccolò Laurenti (Milan University)
Giacomo Magni (NIKHEF and VU Amsterdam)
Andrea Pasquale (Milan University)
Tanjona Rabemananjara (NIKHEF and VU Amsterdam)
Matteo Robbiati (Milan University and CERN)
Christopher Schwan (Würzburg University)
Tanishq Sharma (Turin University)
Roy Stegeman (Edinburgh University)
MATERIALS
Because only one of the lecturers used slides (and one wrote on an iPad), slides are not available for all lectures. The slides that have been used can be found under the "Timetable". Other public material used during the school can be found in the following locations:
- The Github repository containing all jupyter notebooks used during the tutorials: https://github.com/NNPDF/como-2023
- The lecture notes on which Tilman Plehn's lectures were based:
https://www.thphys.uni-heidelberg.de/~plehn/pics/modern_ml.pdf
