High Energy Physics - Phenomenology · Physics
Accelerating Monte Carlo event generation -- rejection sampling using neural network event-weight estimates
Katharina Danziger, Timo Janßen, Steffen Schumann, Frank Siegert
2022-05-18
High Energy Physics - Phenomenology · Physics
Understanding Event-Generation Networks via Uncertainties
Marco Bellagente, Manuel Haußmann, Michel Luchmann, Tilman Plehn
2022-12-07
High Energy Physics - Experiment · Physics
LHC analysis-specific datasets with Generative Adversarial Networks
Bobak Hashemi, Nick Amin, Kaustuv Datta, Dominick Olivito +1
2019-01-17
High Energy Physics - Phenomenology · Physics
How to GAN away Detector Effects
Marco Bellagente, Anja Butter, Gregor Kasieczka, Tilman Plehn +1
2022-12-06
High Energy Physics - Phenomenology · Physics
Machine Learning and LHC Event Generation
Anja Butter, Tilman Plehn, Steffen Schumann, Simon Badger +47
2023-04-26
High Energy Physics - Phenomenology · Physics
Accelerating multijet-merged event generation with neural network matrix element surrogates
Tim Herrmann, Timo Janßen, Mathis Schenker, Steffen Schumann +1
2026-03-11
High Energy Physics - Phenomenology · Physics
Forecasting Generative Amplification
Henning Bahl, Sascha Diefenbacher, Nina Elmer, Tilman Plehn +1
2025-10-17
Instrumentation and Detectors · Physics
Towards Reliable Neural Generative Modeling of Detectors
Lucio Anderlini, Matteo Barbetti, Denis Derkach, Nikita Kazeev +2
2023-03-01
High Energy Physics - Phenomenology · Physics
GANplifying Event Samples
Anja Butter, Sascha Diefenbacher, Gregor Kasieczka, Benjamin Nachman +1
2021-06-11
Data Analysis, Statistics and Probability · Physics
A Multivariate Training Technique with Event Reweighting
Hai-Jun Yang, Tiesheng Dai, Alan Wilson, Zhengguo Zhao +1
2008-11-26
Machine Learning · Computer Science
Training Generative Adversarial Networks with Weights
Yannis Pantazis, Dipjyoti Paul, Michail Fasoulakis, Yannis Stylianou
2018-11-08
Instrumentation and Detectors · Physics
Fast Data-Driven Simulation of Cherenkov Detectors Using Generative Adversarial Networks
Artem Maevskiy, Denis Derkach, Nikita Kazeev, Andrey Ustyuzhanin +2
2020-07-28
Data Analysis, Statistics and Probability · Physics
Generative Models for Fast Calorimeter Simulation.LHCb case
Viktoria Chekalina, Elena Orlova, Fedor Ratnikov, Dmitry Ulyanov +2
2019-10-02
High Energy Physics - Phenomenology · Physics
Generative Networks for Precision Enthusiasts
Anja Butter, Theo Heimel, Sander Hummerich, Tobias Krebs +3
2023-04-26
High Energy Physics - Phenomenology · Physics
DCTRGAN: Improving the Precision of Generative Models with Reweighting
Sascha Diefenbacher, Engin Eren, Gregor Kasieczka, Anatolii Korol +2
2020-12-30
Computer Vision and Pattern Recognition · Computer Science
EventGAN: Leveraging Large Scale Image Datasets for Event Cameras
Alex Zihao Zhu, Ziyun Wang, Kaung Khant, Kostas Daniilidis
2019-12-20
High Energy Physics - Phenomenology · Physics
Unweighting multijet event generation using factorisation-aware neural networks
Timo Janßen, Daniel Maître, Steffen Schumann, Frank Siegert +1
2023-09-20