  The direct measurement of the top quark-Higgs coupling is one of the
important questions in understanding the Higgs boson. The coupling can be
obtained through measurement of the top quark pair-associated Higgs boson
production cross-section. Of the multiple challenges arising in this
cross-section measurement, we investigate the reconstruction of the partons
originating from the hard scattering process using the measured jets in
simulated ttH events. The task corresponds to an assignment challenge of m
objects (jets) to n other objects (partons), where m>=n. We compare several
methods with emphasis on a concept based on deep learning techniques which
yields the best results with more than 50% of correct jet-parton assignments.
