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Particle Graph Autoencoders and Differentiable, Learned Energy Mover's Distance., , , , , , , , and . CoRR, (2021)Applications and Techniques for Fast Machine Learning in Science., , , , , , , , , and 77 other author(s). CoRR, (2021)FAIR AI Models in High Energy Physics., , , , , , , , , and 7 other author(s). CoRR, (2022)Progress towards an improved particle flow algorithm at CMS with machine learning., , , , , and . CoRR, (2023)FAIR AI models in high energy physics., , , , , , , , , and 7 other author(s). Mach. Learn. Sci. Technol., 4 (4): 45062 (December 2023)Do graph neural networks learn traditional jet substructure?, , and . CoRR, (2022)Explaining machine-learned particle-flow reconstruction., , , , , , and . CoRR, (2021)Machine Learning for Particle Flow Reconstruction at CMS., , , , , , , and . CoRR, (2022)A FAIR and AI-ready Higgs Boson Decay Dataset., , , , , , , , , and 3 other author(s). CoRR, (2021)