The school will start with one week of introductory lectures on ML in general, and in relation to theoretical and experimental particle physics. As for each week, there will be introductory courses with five times 90 minutes and specialized courses with three times 90 minutes. The second week will focus on generative models, which do not only revolutionize chatbots, but also particle physics simulations and analyses. Exciting applications, like anomaly detection, LHC statistics, and jet physics, will be covered by the specialized lectures. The third week will include advanced lectures on topics like quantum-ML, symbolic regression, the role of symmetries, lattice simulations, and ML in cosmology. Our list of speakers includes:
Miles Cranmer (Princeton)
Stefano Forte (Milano)
Eilam Gross (Weizmann)
James Halverson (Northeastern)
Lukas Heinrich (TU Munich)
Caroline Heneka (Heidelberg)
Huilin Qu (CERN)
Michael Kagan (SLAC, TBC)
Deepak Kar (Witwatersrand)
Ullrich Koethe (Heidelberg)
Claudius Krause (Heidelberg)
Sven Krippendorf (LMU Munich)
Luigi Del Debbio (Edinburgh)
Veronica Sanz (Valencia & Sussex)
David Shih (Rutgers)
Michael Spannowsky (Durham)
