Uniform-in-Phase-Space Data Selection with Iterative Normalizing Flows. (arXiv:2112.15446v2 [cs.LG] UPDATED)

Improvements in computational and experimental capabilities are rapidly
increasing the amount of scientific data that is routinely generated. In
applications that are constrained by memory and computational intensity,
excessively large datasets may hinder scientific discovery, making data
reduction a critical component of data-driven methods. Datasets are growing in
two directions: the number of data points and their dimensionality. Whereas
data compression techniques are concerned with reducing dimensionality, the
focus here is on reducing the number of data points. A strategy …

arxiv data iterative lg space uniform