Speaker
Henning Bahl
(Universität Heidelberg)
Description
In the precision era of particle physics, accurate theoretical predictions and utilizing the full experimental information are key for advancing our understanding of fundamental physics. In my talk, I will show how machine learning can help us to achieve both in a controlled manner including well-calibrated uncertainties.