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GANplifying Event Samples

14 August 2020

Papers citing "GANplifying Event Samples"

23 / 23 papers shown

Title
Extrapolating Jet Radiation with Autoregressive Transformers A. Butter François Charton Javier Marino Villadamigo Ayodele Ore Tilman Plehn Jonas Spinner 122 1 0 16 Dec 2024
Calibrating Bayesian Generative Machine Learning for Bayesiamplification S. Bieringer S. Diefenbacher Gregor Kasieczka Mathias Trabs 48 4 0 01 Aug 2024
Convolutional L2LFlows: Generating Accurate Showers in Highly Granular Calorimeters Using Convolutional Normalizing Flows Thorsten Buss F. Gaede Gregor Kasieczka Claudius Krause David Shih AI4CE 95 8 0 30 May 2024
Full Event Particle-Level Unfolding with Variable-Length Latent Variational Diffusion Alexander Shmakov Kevin Greif M. Fenton A. Ghosh Pierre Baldi D. Whiteson DiffM 210 10 0 22 Apr 2024
Synthesis of pulses from particle detectors with a Generative Adversarial Network (GAN) A. Regadío Luis Esteban S. Sánchez-Prieto GAN 74 2 0 10 Jan 2024
Improving new physics searches with diffusion models for event observables and jet constituents Debajyoti Sengupta Matthew Leigh J. A. Raine Samuel Klein T. Golling DiffM 104 15 0 15 Dec 2023
Deep Generative Models for Detector Signature Simulation: A Taxonomic Review Baran Hashemi Claudius Krause 70 16 0 15 Dec 2023
EPiC-ly Fast Particle Cloud Generation with Flow-Matching and Diffusion E. Buhmann Cedric Ewen D. Faroughy T. Golling Gregor Kasieczka Matthew Leigh Guillaume Quétant J. A. Raine Debajyoti Sengupta David Shih DiffM 105 28 0 29 Sep 2023
CaloClouds II: Ultra-Fast Geometry-Independent Highly-Granular Calorimeter Simulation E. Buhmann F. Gaede Gregor Kasieczka A. Korol W. Korcari K. Krüger Peter McKeown DiffM 83 26 0 11 Sep 2023
CaloClouds: Fast Geometry-Independent Highly-Granular Calorimeter Simulation E. Buhmann S. Diefenbacher E. Eren F. Gaede Gregor Kasieczka A. Korol W. Korcari K. Krüger Peter McKeown DiffM 111 46 0 08 May 2023
Flow Away your Differences: Conditional Normalizing Flows as an Improvement to Reweighting M. Algren T. Golling M. Guth C. Pollard J. A. Raine 11 8 0 28 Apr 2023
High-precision regressors for particle physics F. Bishara A. Paul Jennifer Dy PINN AI4CE 85 1 0 02 Feb 2023
EPiC-GAN: Equivariant Point Cloud Generation for Particle Jets E. Buhmann Gregor Kasieczka Jesse Thaler 3DPC 138 47 0 17 Jan 2023
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 73 31 0 15 Mar 2022
Comparing Machine Learning and Interpolation Methods for Loop-Level Calculations Ibrahim Chahrour J. Wells 82 12 0 29 Nov 2021
Generative Networks for Precision Enthusiasts A. Butter Theo Heimel Sander Hummerich Tobias Krebs Tilman Plehn Armand Rousselot Sophia Vent AI4CE 82 60 0 22 Oct 2021
Style-based quantum generative adversarial networks for Monte Carlo events Carlos Bravo-Prieto J. Baglio M. Cè A. Francis D. Grabowska Stefano Carrazza GAN 81 42 0 13 Oct 2021
Optimising simulations for diphoton production at hadron colliders using amplitude neural networks Joseph Aylett-Bullock S. Badger Ryan Moodie 109 24 0 17 Jun 2021
A survey of machine learning-based physics event generation Yasir Alanazi Nobuo Sato P. Ambrozewicz A. H. Blin W. Melnitchouk M. Battaglieri Tianbo Liu Yaohang Li AI4CE 53 17 0 01 Jun 2021
Understanding Event-Generation Networks via Uncertainties Marco Bellagente Manuel Haussmann Michel Luchmann Tilman Plehn BDL 118 55 0 09 Apr 2021
Simulating the Time Projection Chamber responses at the MPD detector using Generative Adversarial Networks A. Maevskiy F. Ratnikov A. Zinchenko V. Riabov 94 12 0 08 Dec 2020
DCTRGAN: Improving the Precision of Generative Models with Reweighting S. Diefenbacher E. Eren Gregor Kasieczka A. Korol Benjamin Nachman David Shih 78 44 0 03 Sep 2020
Simulation of electron-proton scattering events by a Feature-Augmented and Transformed Generative Adversarial Network (FAT-GAN) Yasir Alanazi Nobuo Sato Tianbo Liu W. Melnitchouk P. Ambrozewicz ... E. Pritchard M. Robertson R. Strauss L. Velasco Yaohang Li GAN 79 64 0 29 Jan 2020