<ul><li>Neural networks have become popular in high energy physics but their training process is opaque.</li><li>Learnable Cut Flow (LCF) is a neural network that combines the simplicity of the traditional cut flow method with the power of data-driven training.</li><li>LCF implements two cut strategies, parallel and sequential, to determine optimal boundaries for cut selection.</li><li>LCF offers insights into feature importance and performs effectively in real-world scenarios.</li></ul>

Learnable cut flow

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