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