Graph Generative Adversarial Networks for Sparse Data Generation in High
Energy Physics

Graph Generative Adversarial Networks for Sparse Data Generation in High Energy Physics

30 November 2020

Raghav Kansal

Javier Mauricio Duarte

Dimitrios Gunopoulos

Papers citing "Graph Generative Adversarial Networks for Sparse Data Generation in High Energy Physics"

14 / 14 papers shown

Title
Deep Generative Models for Detector Signature Simulation: A Taxonomic Review Baran Hashemi Claudius Krause 30 16 0 15 Dec 2023
Versatile Energy-Based Probabilistic Models for High Energy Physics Taoli Cheng Aaron Courville DiffM 17 0 0 01 Feb 2023
Lorentz group equivariant autoencoders Zichun Hao Raghav Kansal Javier Mauricio Duarte N. Chernyavskaya BDL DRL AI4CE 26 23 0 14 Dec 2022
New directions for surrogate models and differentiable programming for High Energy Physics detector simulation Andreas Adelmann W. Hopkins E. Kourlitis Michael Kagan Gregor Kasieczka ... David Shih Vinicius Mikuni Benjamin Nachman K. Pedro D. Winklehner 17 29 0 15 Mar 2022
Particle-based Fast Jet Simulation at the LHC with Variational Autoencoders M. Touranakou N. Chernyavskaya Javier Mauricio Duarte Dimitrios Gunopulos Raghav Kansal B. Orzari M. Pierini T. Tomei J. Vlimant 17 17 0 01 Mar 2022
Shared Data and Algorithms for Deep Learning in Fundamental Physics L. Benato E. Buhmann M. Erdmann P. Fackeldey J. Glombitza ... T. Kuhr J. Steinheimer H. Stocker Tilman Plehn K. Zhou PINN OOD 24 15 0 01 Jul 2021
CaloFlow: Fast and Accurate Generation of Calorimeter Showers with Normalizing Flows Claudius Krause David Shih AI4CE 25 81 0 09 Jun 2021
Latent Space Refinement for Deep Generative Models R. Winterhalder Marco Bellagente Benjamin Nachman BDL GAN DRL DiffM 10 27 0 01 Jun 2021
Nanosecond machine learning event classification with boosted decision trees in FPGA for high energy physics Tae Min Hong B. Carlson Brandon Eubanks Stephen Racz Stephen Roche J. Stelzer Daniel C. Stumpp 18 23 0 07 Apr 2021
A Living Review of Machine Learning for Particle Physics Matthew Feickert Benjamin Nachman KELM AI4CE 19 151 0 02 Feb 2021
MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks J. Pata Javier Mauricio Duarte J. Vlimant M. Pierini M. Spiropulu 107 76 0 21 Jan 2021
A Practical Tutorial on Graph Neural Networks I. Ward J. Joyner C. Lickfold Yulan Guo Bennamoun GNN AI4CE 22 12 0 11 Oct 2020
Fast inference of deep neural networks in FPGAs for particle physics Javier Mauricio Duarte Song Han Philip C. Harris S. Jindariani E. Kreinar ... J. Ngadiuba M. Pierini R. Rivera N. Tran Zhenbin Wu AI4CE 75 386 0 16 Apr 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016