Double descent, a test-error peak followed by recovery at high capacity, appears in jet regression and event classification on ATLAS open data; with early stopping, overparameterized models can beat classical ones.
MLPF: efficient machine-learned particle-flow reconstruction using graph neural networks
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Double Descent and Overparameterization in Particle Physics Data
Double descent, a test-error peak followed by recovery at high capacity, appears in jet regression and event classification on ATLAS open data; with early stopping, overparameterized models can beat classical ones.