First-principle based simulations are a fundamental building block of LHC physics. In the coming LHC runs, simulations will face unprecedented precision requirements, challenging the efficiency of Monte Carlo generators. With applications ranging from modular improvements to new frameworks, generative networks can help overcome these challenges.
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