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20242026
most citedReweighting simulated events using machine-learning techniques in the CMS experiment

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physics.data-an2026

Learning to bin: differentiable and Bayesian optimization for multi-dimensional discriminants in high-energy physics

Johannes Erdmann, Nitish Kumar Kasaraguppe, Florian Mausolf

Categorizing events using discriminant observables is central to many high-energy physics analyses. Yet, bin boundaries are often chosen by hand. A simple, popular choice is to app…