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Graph Generative Models for Fast Detector Simulations in High Energy Physics., , and . CoRR, (2021)Locating Hidden Exoplanets in ALMA Data Using Machine Learning., , , and . CoRR, (2022)SYMBA: symbolic computation of squared amplitudes in high energy physics with machine learning., , and . Mach. Learn. Sci. Technol., 4 (1): 15007 (March 2023)A Comparison Between Invariant and Equivariant Classical and Quantum Graph Neural Networks., , , , , , , , , and 1 other author(s). CoRR, (2023)Machine Learning in High Energy Physics Community White Paper., , , , , , , , , and 108 other author(s). CoRR, (2018)A Comparison between Invariant and Equivariant Classical and Quantum Graph Neural Networks., , , , , , , , , and 1 other author(s). Axioms, 13 (3): 160 (March 2024)Accelerating High-energy Physics Exploration with Deep Learning., , , , and . PEARC, page 37:1-37:4. ACM, (2017)End-to-End Jet Classification of Quarks and Gluons with the CMS Open Data., , , , , , , , , and . CoRR, (2019)Deep Learning-Based Spatiotemporal Multi-Event Reconstruction for Delay Line Detectors., , , , and . CoRR, (2023)End-to-End Physics Event Classification with the CMS Open Data: Applying Image-based Deep Learning on Detector Data to Directly Classify Collision Events at the LHC., , , and . CoRR, (2018)