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07/31/2023
Explainable Equivariant Neural Networks for Particle Physics: PELICAN
We present a comprehensive study of the PELICAN machine learning algorit...
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11/01/2022
PELICAN: Permutation Equivariant and Lorentz Invariant or Covariant Aggregator Network for Particle Physics
Many current approaches to machine learning in particle physics use gene...
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03/15/2022
Innovations in trigger and data acquisition systems for next-generation physics facilities
Data-intensive physics facilities are increasingly reliant on heterogene...
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03/03/2022
The RATTLE Motion Planning Algorithm for Robust Online Parametric Model Improvement with On-Orbit Validation
Certain forms of uncertainty that robotic systems encounter can be expli...
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12/11/2021
Online Information-Aware Motion Planning with Inertial Parameter Learning for Robotic Free-Flyers
Space free-flyers like the Astrobee robots currently operating aboard th...
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04/14/2021
Towards an Interpretable Data-driven Trigger System for High-throughput Physics Facilities
Data-intensive science is increasingly reliant on real-time processing c...
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06/08/2020
