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Mathematician Yilin Wang's work on Loewner energy quantifies how far curves deviate from randomness, aiding Citadel in distinguishing true market signals from noise with $500,000 rewards for precise computation.
The paper proposes using spectral entropy as a metric to quantify noise introduced by explainability techniques in ECG arrhythmia classification, helping to distinguish true model signal from XAI-generated artifacts.