26 citations · 48 across the 6 of their papers we have counts for
3 papers · 1 filter
Mixture Density Networks for Neutrino Reconstruction at Hadron Colliders
Seungjin Yang, Jason S. H. Lee, Junghwan Goh
Neutrino momentum reconstruction at hadron colliders is intrinsically ambiguous because the longitudinal momentum is not directly observed. We study this problem in semileptonic $t…
Quark-Gluon Jet Discrimination Using Convolutional Neural Networks
Jason Sang Hun Lee, Inkyu Park, Ian James Watson +1
Currently, newly developed artificial intelligence techniques, in particular convolutional neural networks, are being investigated for use in data-processing and classification of…
Zero-Permutation Jet-Parton Assignment using a Self-Attention Network
Jason Sang Hun Lee, Inkyu Park, Ian James Watson +1
In high-energy particle physics events, it can be advantageous to find the jets associated with the decays of intermediate states, for example, the three jets produced by the hadro…