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Cited article:

Graph-based diffusion model for fast shower generation in calorimeters with irregular geometry

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Physical Review D 110 (7) (2024)
https://doi.org/10.1103/PhysRevD.110.072003

Effectiveness of denoising diffusion probabilistic models for fast and high-fidelity whole-event simulation in high-energy heavy-ion experiments

Dmitrii Torbunov, Yi Huang, Meifeng Lin, Yihui Ren, Yeonju Go, Timothy Rinn, Haiwang Yu, Brett Viren and Jin Huang
Physical Review C 110 (3) (2024)
https://doi.org/10.1103/PhysRevC.110.034912

Ultra-high-granularity detector simulation with intra-event aware generative adversarial network and self-supervised relational reasoning

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Nature Communications 15 (1) (2024)
https://doi.org/10.1038/s41467-024-49104-4

L2LFlows: generating high-fidelity 3D calorimeter images

Sascha Diefenbacher, Engin Eren, Frank Gaede, Gregor Kasieczka, Claudius Krause, Imahn Shekhzadeh and David Shih
Journal of Instrumentation 18 (10) P10017 (2023)
https://doi.org/10.1088/1748-0221/18/10/P10017