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FAIR for AI: An interdisciplinary, international, inclusive, and diverse community building perspective., , , , , , , , , and 14 other author(s). CoRR, (2022)Supporting High-Performance and High-Throughput Computing for Experimental Science., , , , and . Comput. Softw. Big Sci., (December 2019)Physics Community Needs, Tools, and Resources for Machine Learning., , , , , , , , , and 11 other author(s). CoRR, (2022)Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges., , , , , , , , , and . CoRR, (2022)Applications and Techniques for Fast Machine Learning in Science., , , , , , , , , and 37 other author(s). Frontiers Big Data, (2022)Charged particle tracking via edge-classifying interaction networks., , , , , , , and . CoRR, (2021)A FAIR and AI-ready Higgs Boson Decay Dataset., , , , , , , , , and 3 other author(s). CoRR, (2021)Data Science and Machine Learning in Education., , , , , , , , , and 13 other author(s). CoRR, (2022)Physics and Computing Performance of the Exa.TrkX TrackML Pipeline., , , , , , , , , and 14 other author(s). CoRR, (2021)A detailed study of interpretability of deep neural network based top taggers., , and . Mach. Learn. Sci. Technol., 4 (3): 35003 (September 2023)