LHC analysis-specific datasets with Generative Adversarial Networks

LHC analysis-specific datasets with Generative Adversarial Networks

16 January 2019

Papers citing "LHC analysis-specific datasets with Generative Adversarial Networks"

10 / 10 papers shown

Title
Flow Matching Beyond Kinematics: Generating Jets with Particle-ID and Trajectory Displacement Information Joschka Birk E. Buhmann Cedric Ewen Gregor Kasieczka David Shih 79 12 0 30 Nov 2023
Variational Autoencoders for New Physics Mining at the Large Hadron Collider O. Cerri Thong Q. Nguyen M. Pierini M. Spiropulu J. Vlimant DRL 38 144 0 26 Nov 2018
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
An MPI-Based Python Framework for Distributed Training with Keras D. Anderson J. Vlimant M. Spiropulu 28 18 0 16 Dec 2017
Accelerating Science with Generative Adversarial Networks: An Application to 3D Particle Showers in Multi-Layer Calorimeters Michela Paganini Luke de Oliveira Benjamin Nachman AI4CE 50 222 0 05 May 2017
Decorrelated Jet Substructure Tagging using Adversarial Neural Networks C. Shimmin Peter Sadowski Pierre Baldi E. Weik D. Whiteson Edward Goul A. Søgaard GAN 47 114 0 10 Mar 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
Learning to Pivot with Adversarial Networks Gilles Louppe Michael Kagan Kyle Cranmer 63 227 0 03 Nov 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,115 0 22 Dec 2014
ADADELTA: An Adaptive Learning Rate Method Matthew D. Zeiler ODL 152 6,625 0 22 Dec 2012