26 citations · 48 across the 6 of their papers we have counts for
3 papers · 1 filter
Quark Gluon Jet Discrimination with Weakly Supervised Learning
Jason Sang Hun Lee, Sang Man Lee, Yunjae Lee +3
Deep learning techniques are currently being investigated for high energy physics experiments, to tackle a wide range of problems, with quark and gluon discrimination becoming a be…
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…