How to GAN away Detector Effects

How to GAN away Detector Effects

1 December 2019

Marco Bellagente

Gregor Kasieczka

R. Winterhalder

Papers citing "How to GAN away Detector Effects"

12 / 12 papers shown

Title
Generative Unfolding with Distribution Mapping A. Butter S. Diefenbacher Nathan Huetsch Vinicius Mikuni Benjamin Nachman Sofia Palacios Schweitzer Tilman Plehn DiffM 41 1 0 04 Nov 2024
Unifying Simulation and Inference with Normalizing Flows Haoxing Du Claudius Krause Vinicius Mikuni Benjamin Nachman Ian Pang David Shih 42 3 0 29 Apr 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 122 9 0 22 Apr 2024
Synthesis of pulses from particle detectors with a Generative Adversarial Network (GAN) A. Regadío Luis Esteban S. Sánchez-Prieto GAN 42 2 0 10 Jan 2024
Generative Invertible Quantum Neural Networks Armand Rousselot M. Spannowsky BDL 18 9 0 24 Feb 2023
Unbinned Profiled Unfolding Jay Chan Benjamin Nachman 24 7 0 10 Feb 2023
Machine Learning in the Search for New Fundamental Physics G. Karagiorgi Gregor Kasieczka S. Kravitz Benjamin Nachman David Shih AI4CE 44 113 0 07 Dec 2021
Generative Networks for Precision Enthusiasts A. Butter Theo Heimel Sander Hummerich Tobias Krebs Tilman Plehn Armand Rousselot Sophia Vent AI4CE 8 59 0 22 Oct 2021
CaloFlow: Fast and Accurate Generation of Calorimeter Showers with Normalizing Flows Claudius Krause David Shih AI4CE 34 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
Understanding Event-Generation Networks via Uncertainties Marco Bellagente Manuel Haussmann Michel Luchmann Tilman Plehn BDL 33 55 0 09 Apr 2021
MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks J. Pata Javier Mauricio Duarte J. Vlimant M. Pierini M. Spiropulu 113 76 0 21 Jan 2021