Abstract: 
Machine Learning methods are extremely powerful but often function as black-box problem solvers, providing improved performance at the expense of clarity. Our work describes a new machine learning approach which translates the strategy of a deep neural network into simple functions that are meaningful and intelligible to the…

Abstract: Probing the Higgs boson coupling to the muon is one of the last experimentally accessible frontiers in the direct measurement of Higgs boson couplings at the LHC. This seminar will highlight the first evidence for the rare Higgs boson decay to muons, achieved by the CMS Collaboration using the full dataset collected at 13 TeV during…