Related references
Note: Only part of the references are listed.JEDI-net: a jet identification algorithm based on interaction networks
Eric A. Moreno et al.
EUROPEAN PHYSICAL JOURNAL C (2020)
Jet tagging via particle clouds
Huilin Qu et al.
PHYSICAL REVIEW D (2020)
Learning representations of irregular particle-detector geometry with distance-weighted graph networks
Shah Rukh Qasim et al.
EUROPEAN PHYSICAL JOURNAL C (2019)
Pileup mitigation at the Large Hadron Collider with graph neural networks
J. Arjona Martinez et al.
EUROPEAN PHYSICAL JOURNAL PLUS (2019)
Probing stop pair production at the LHC with graph neural networks
Murat Abdughani et al.
JOURNAL OF HIGH ENERGY PHYSICS (2019)
Dynamic Graph CNN for Learning on Point Clouds
Yue Wang et al.
ACM TRANSACTIONS ON GRAPHICS (2019)
Energy flow networks: deep sets for particle jets
Patrick T. Komiske et al.
JOURNAL OF HIGH ENERGY PHYSICS (2019)
Graph Neural Networks for IceCube Signal Classification
Nicholas Choma et al.
2018 17TH IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA) (2018)
REVIEW OF PARTICLE PHYSICS
M. Tanabashi et al.
PHYSICAL REVIEW D (2018)
Deep learning in color: towards automated quark/gluon jet discrimination
Patrick T. Komiske et al.
JOURNAL OF HIGH ENERGY PHYSICS (2017)
Pileup Mitigation with Machine Learning (PUMML)
Patrick T. Komiske et al.
JOURNAL OF HIGH ENERGY PHYSICS (2017)
Parameterized neural networks for high-energy physics
Pierre Baldi et al.
EUROPEAN PHYSICAL JOURNAL C (2016)
An introduction to PYTHIA 8.2
Torbjorn Sjostrand et al.
COMPUTER PHYSICS COMMUNICATIONS (2015)
SoftKiller, a particle-level pileup removal method
Matteo Cacciari et al.
EUROPEAN PHYSICAL JOURNAL C (2015)
Pileup per particle identification
Daniele Bertolini et al.
JOURNAL OF HIGH ENERGY PHYSICS (2014)
LHC Machine
Lyndon Evans et al.
JOURNAL OF INSTRUMENTATION (2008)
The anti-kt jet clustering algorithm
Matteo Cacciari et al.
JOURNAL OF HIGH ENERGY PHYSICS (2008)