DNNs succeed by capturing high-order correlation structures in datasets, similar to mesoscale methods in physics.
Recon- ciling modern machine-learning practice and the classical bias-variance trade-off.PNAS, 116(32):15849–15854, 2019
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DNNs, Dataset Statistics, and Correlation Functions
DNNs succeed by capturing high-order correlation structures in datasets, similar to mesoscale methods in physics.