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Vertex reconstruction of neutrino interactions using deep learning., , , , and . IJCNN, page 2275-2281. IEEE, (2017)Semi-Supervised Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection., , , , , , and . CoRR, (2022)Restricted Boltzmann Machines for galaxy morphology classification with a quantum annealer., , , , and . CoRR, (2019)Quantum machine learning in high energy physics., , , , , , and . Mach. Learn. Sci. Technol., 2 (1): 11003 (2021)Artificial Intelligence for the Electron Ion Collider (AI4EIC)., , , , , , , , , and 88 other author(s). Comput. Softw. Big Sci., 8 (1): 5 (December 2024)Machine Learning in High Energy Physics Community White Paper., , , , , , , , , and 108 other author(s). CoRR, (2018)Quantum circuit fidelity estimation using machine learning., , , and . Quantum Mach. Intell., 6 (1): 1 (June 2024)Inferring Convolutional Neural Networks' Accuracies from Their Architectural Characterizations., , , , , and . ICMLA, page 1388-1391. IEEE, (2019)Response to NITRD, NCO, NSF Request for Information on Üpdate to the 2016 National Artificial Intelligence Research and Development Strategic Plan"., , , , , , , , , and 20 other author(s). CoRR, (2019)Robustness of deep learning algorithms in astronomy - galaxy morphology studies., , , , , , , , and . CoRR, (2021)