About riley
Researching explainable AI and neuromorphic computing at Noblis.
Key Skills
Experience
Machine Learning Researcher
CurrentNoblis
Working internal machine learning research and development. Currently principal investigator of neuromorphic research program in addition to working on explainable AI. Recent publications: Riley White, Brian Baracat-Donovan, John Helmsen, Thomas McCullough, "New methods for explainable variational autoencoders," Proc. SPIE 12742, Artificial Intelligence for Security and Defence Applications, 127420J (17 October 2023); https://doi.org/10.1117/12.2680290 John Helmsen, Brian Baracat-Donovan, Riley White, Thomas Cullough, "Swiss Army VAE: comprehensive sensor data analysis via explainable AI," Proc. SPIE 12742, Artificial Intelligence for Security and Defence Applications, 127420I (17 October 2023); https://doi.org/10.1117/12.2680317
Machine Learning Research Intern
Noblis
Undergraduate Researcher
James Madison University
Riley White and Nathan Sprague. Deep metric learning for code authorship attribution and verification. In 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA), pages 1089–1093, 2021. doi: 10.1109/ICMLA52953.2021.00178
Education
James Madison University
Bachelors
Stone Bridge High School
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Common Questions
What is riley's expertise?
riley specializes in AI Researcher, with expertise in arcgis, deep learning, docker, java, machine learning.
Where is riley located?
riley is based in ashburn, virginia, united states.
How much experience does riley have?
riley has 8+ years of professional experience.
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