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Latent Space Refinement for Deep Generative Models
v1v2 (latest)

Latent Space Refinement for Deep Generative Models

1 June 2021
R. Winterhalder
Marco Bellagente
Benjamin Nachman
    BDLGANDRLDiffM
ArXiv (abs)PDFHTML

Papers citing "Latent Space Refinement for Deep Generative Models"

10 / 10 papers shown
Title
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
208
3
0
16 Dec 2024
Calibrating Bayesian Generative Machine Learning for Bayesiamplification
Calibrating Bayesian Generative Machine Learning for Bayesiamplification
S. Bieringer
Yuan-Tang Chou
Gregor Kasieczka
Mathias Trabs
139
7
0
01 Aug 2024
Deep Generative Models for Detector Signature Simulation: A Taxonomic
  Review
Deep Generative Models for Detector Signature Simulation: A Taxonomic ReviewReviews in Physics (RP), 2023
Baran Hashemi
Claudius Krause
290
23
0
15 Dec 2023
Calorimeter shower superresolution
Calorimeter shower superresolution
Ian Pang
C. Pollard
David Shih
DiffM
169
10
0
22 Aug 2023
Steering Language Generation: Harnessing Contrastive Expert Guidance and
  Negative Prompting for Coherent and Diverse Synthetic Data Generation
Steering Language Generation: Harnessing Contrastive Expert Guidance and Negative Prompting for Coherent and Diverse Synthetic Data Generation
Charles OÑeill
Y. Ting 丁
I. Ciucă
Jack Miller
Thang Bui
SyDa
263
1
0
15 Aug 2023
High-dimensional and Permutation Invariant Anomaly Detection
High-dimensional and Permutation Invariant Anomaly DetectionSciPost Physics (SciPost Phys.), 2023
Vinicius Mikuni
Benjamin Nachman
DiffM
321
22
0
06 Jun 2023
ELSA -- Enhanced latent spaces for improved collider simulations
ELSA -- Enhanced latent spaces for improved collider simulations
Benjamin Nachman
R. Winterhalder
231
15
0
12 May 2023
New directions for surrogate models and differentiable programming for
  High Energy Physics detector simulation
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
162
34
0
15 Mar 2022
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
243
64
0
22 Oct 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
316
89
0
09 Jun 2021
1