Jet Constituents for Deep Neural Network Based Top Quark Tagging

7 April 2017

Papers citing "Jet Constituents for Deep Neural Network Based Top Quark Tagging"

9 / 9 papers shown

Title
CaloGAN: Simulating 3D High Energy Particle Showers in Multi-Layer Electromagnetic Calorimeters with Generative Adversarial Networks Michela Paganini Luke de Oliveira Benjamin Nachman AI4CE GAN 48 316 0 21 Dec 2017
QCD-Aware Recursive Neural Networks for Jet Physics Gilles Louppe Kyunghyun Cho C. Becot Kyle Cranmer BDL 98 189 0 02 Feb 2017
Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics Synthesis Luke de Oliveira Michela Paganini Benjamin Nachman GAN AI4CE 51 288 0 20 Jan 2017
Deep learning in color: towards automated quark/gluon jet discrimination Patrick T. Komiske E. Metodiev M. Schwartz 59 261 0 05 Dec 2016
Learning to Pivot with Adversarial Networks Gilles Louppe Michael Kagan Kyle Cranmer 63 227 0 03 Nov 2016
Theano: A Python framework for fast computation of mathematical expressions The Theano Development Team Rami Al-Rfou Guillaume Alain Amjad Almahairi Christof Angermüller ... Kelvin Xu Lijun Xue Li Yao Saizheng Zhang Ying Zhang 198 2,341 0 09 May 2016
Jet-Images -- Deep Learning Edition Luke de Oliveira Michael Kagan Lester W. Mackey Benjamin Nachman A. Schwartzman PINN 59 310 0 16 Nov 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,115 0 22 Dec 2014
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 453 7,663 0 03 Jul 2012