Jet diffusion versus JetGPT – Modern networks for the LHC
We introduce two diffusion models and an autoregressive transformer for LHC physics simulations. Bayesian versions allow us to control the networks and capture training uncertainties. After illustrating their different density estimation methods for simple toy models, we discuss their advantages for...
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| Format: | Article |
| Language: | English |
| Published: |
SciPost
2025-03-01
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| Series: | SciPost Physics Core |
| Online Access: | https://scipost.org/SciPostPhysCore.8.1.026 |
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