Uniform-in-phase-space data selection with iterative normalizing flows
Uniform-in-phase-space data selection with iterative normalizing flows
Abstract Improvements in computational and experimental capabilities are rapidly increasing the amount of scientific data that are 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 …