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most citedA nonlocal traffic flow model with stochastic velocity

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stat.ML2024

Using Low-Discrepancy Points for Data Compression in Machine Learning: An Experimental Comparison

Simone Göttlich, Jacob Heieck, Andreas Neuenkirch

Low-discrepancy points (also called Quasi-Monte Carlo points) are deterministically and cleverly chosen point sets in the unit cube, which provide an approximation of the uniform d…