A standardized weak lensing benchmark dataset with realistic systematics is released alongside a two-phase ML uncertainty challenge to advance data-efficient and robust cosmological analysis.
Amroucheet al., The Springer Series on Challenges in Machine Learning , 231 (2020), arXiv:1904.06778 [hep-ex]
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Presents design principles for a unified AI-ready data schema for heterogeneous QCD detector data, applied to simulated Barrel Imaging Calorimeter data in the ePIC detector.
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Design Principles for AI-Ready QCD Data with a Barrel Imaging Calorimeter Application
Presents design principles for a unified AI-ready data schema for heterogeneous QCD detector data, applied to simulated Barrel Imaging Calorimeter data in the ePIC detector.