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Understanding Event-Generation Networks via Uncertainties
v1v2 (latest)

Understanding Event-Generation Networks via Uncertainties

SciPost Physics (SciPost Phys.), 2021
9 April 2021
Marco Bellagente
Manuel Haussmann
Michel Luchmann
Tilman Plehn
    BDL
ArXiv (abs)PDFHTML

Papers citing "Understanding Event-Generation Networks via Uncertainties"

17 / 17 papers shown
Forecasting Generative Amplification
Forecasting Generative Amplification
Henning Bahl
Sascha Diefenbacher
Nina Elmer
Tilman Plehn
Jonas Spinner
250
2
0
09 Sep 2025
Extrapolating Jet Radiation with Autoregressive Transformers
Extrapolating Jet Radiation with Autoregressive Transformers
A. Butter
François Charton
Javier Marino Villadamigo
Ayodele Ore
Tilman Plehn
Jonas Spinner
285
5
0
16 Dec 2024
Generative Unfolding with Distribution Mapping
Generative Unfolding with Distribution MappingSciPost Physics (SciPost Phys.), 2024
A. Butter
Yuan-Tang Chou
Nathan Huetsch
Vinicius Mikuni
Benjamin Nachman
Sofia Palacios Schweitzer
Tilman Plehn
DiffM
262
13
0
04 Nov 2024
FAIR Universe HiggsML Uncertainty Dataset and Competition
FAIR Universe HiggsML Uncertainty Dataset and Competition
W. Bhimji
P. Calafiura
Ragansu Chakkappai
Yuan-Tang Chou
Yuan-Tang Chou
...
Dennis Schwarz
Benjamin Thorne
Ihsan Ullah
Daohan Wang
Yulei Zhang
413
5
0
03 Oct 2024
Calibrating Bayesian Generative Machine Learning for Bayesiamplification
Calibrating Bayesian Generative Machine Learning for Bayesiamplification
S. Bieringer
Yuan-Tang Chou
Gregor Kasieczka
Mathias Trabs
219
8
0
01 Aug 2024
The Landscape of Unfolding with Machine Learning
The Landscape of Unfolding with Machine Learning
Nathan Huetsch
Javier Marino Villadamigo
Alexander Shmakov
Yuan-Tang Chou
Vinicius Mikuni
...
Kevin Greif
Benjamin Nachman
D. Whiteson
A. Butter
Tilman Plehn
470
34
0
29 Apr 2024
Unifying Simulation and Inference with Normalizing Flows
Unifying Simulation and Inference with Normalizing Flows
Haoxing Du
Claudius Krause
Vinicius Mikuni
Benjamin Nachman
Ian Pang
David Shih
547
11
0
29 Apr 2024
JANA: Jointly Amortized Neural Approximation of Complex Bayesian Models
JANA: Jointly Amortized Neural Approximation of Complex Bayesian ModelsConference on Uncertainty in Artificial Intelligence (UAI), 2023
Stefan T. Radev
Marvin Schmitt
Valentin Pratz
Umberto Picchini
Ullrich Kothe
Paul-Christian Bürkner
BDL
669
48
0
17 Feb 2023
CaloFlow for CaloChallenge Dataset 1
CaloFlow for CaloChallenge Dataset 1SciPost Physics (SciPost Phys.), 2022
Claudius Krause
Ian Pang
David Shih
AI4CE
296
30
0
25 Oct 2022
Generative models uncertainty estimation
Generative models uncertainty estimation
Lucio Anderlini
Constantine Chimpoesh
N. Kazeev
Agata Shishigina
190
4
0
18 Oct 2022
Bias and Priors in Machine Learning Calibrations for High Energy Physics
Bias and Priors in Machine Learning Calibrations for High Energy Physics
Rikab Gambhir
Benjamin Nachman
Jesse Thaler
AI4CE
318
10
0
10 May 2022
Machine Learning in the Search for New Fundamental Physics
Machine Learning in the Search for New Fundamental Physics
G. Karagiorgi
Gregor Kasieczka
S. Kravitz
Benjamin Nachman
David Shih
AI4CE
262
151
0
07 Dec 2021
Generative Networks for Precision Enthusiasts
Generative Networks for Precision EnthusiastsSciPost Physics (SciPost Phys.), 2021
A. Butter
Theo Heimel
Sander Hummerich
Tobias Krebs
Tilman Plehn
Armand Rousselot
Sophia Vent
AI4CE
431
66
0
22 Oct 2021
Optimising simulations for diphoton production at hadron colliders using
  amplitude neural networks
Optimising simulations for diphoton production at hadron colliders using amplitude neural networksJournal of High Energy Physics (JHEP), 2021
Joseph Aylett-Bullock
S. Badger
Ryan Moodie
361
37
0
17 Jun 2021
CaloFlow: Fast and Accurate Generation of Calorimeter Showers with
  Normalizing Flows
CaloFlow: Fast and Accurate Generation of Calorimeter Showers with Normalizing Flows
Claudius Krause
David Shih
AI4CE
418
93
0
09 Jun 2021
Latent Space Refinement for Deep Generative Models
Latent Space Refinement for Deep Generative Models
R. Winterhalder
Marco Bellagente
Benjamin Nachman
BDLGANDRLDiffM
371
28
0
01 Jun 2021
A Living Review of Machine Learning for Particle Physics
A Living Review of Machine Learning for Particle Physics
Matthew Feickert
Benjamin Nachman
KELMAI4CE
249
227
0
02 Feb 2021
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