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Philip Harris

Showing results (21-30 of 24) with videos related to

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Frontiers in Big Data|May 2, 2022
Applications and Techniques for Fast Machine Learning in ScienceAllison McCarn Deiana, Nhan Tran, Joshua Agar, et al.
Frontiers in Big Data|November 1, 2023
Corrigendum: Applications and techniques for fast machine learning in scienceAllison McCarn Deiana, Nhan Tran, Joshua Agar, et al.
Reports on Progress in Physics. Physical Society (Great Britain)|November 4, 2021
The LHC Olympics 2020 a community challenge for anomaly detection in high energy physicsGregor Kasieczka, Benjamin Nachman, David Shih, et al.
Reports on Progress in Physics. Physical Society (Great Britain)|June 12, 2019
Long-lived particles at the energy frontier: the MATHUSLA physics caseDavid Curtin, Marco Drewes, Matthew McCullough, et al.
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Showing results (21-30 of 24) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 24 results.
Frontiers in Big Data|May 2, 2022
Applications and Techniques for Fast Machine Learning in ScienceAllison McCarn Deiana, Nhan Tran, Joshua Agar, et al.
Frontiers in Big Data|November 1, 2023
Corrigendum: Applications and techniques for fast machine learning in scienceAllison McCarn Deiana, Nhan Tran, Joshua Agar, et al.
Reports on Progress in Physics. Physical Society (Great Britain)|November 4, 2021
The LHC Olympics 2020 a community challenge for anomaly detection in high energy physicsGregor Kasieczka, Benjamin Nachman, David Shih, et al.
Reports on Progress in Physics. Physical Society (Great Britain)|June 12, 2019
Long-lived particles at the energy frontier: the MATHUSLA physics caseDavid Curtin, Marco Drewes, Matthew McCullough, et al.
Pageof 3