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08/10/2022
Neural Embedding: Learning the Embedding of the Manifold of Physics Data
In this paper, we present a method of embedding physics data manifolds w...
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10/13/2021
Challenges for Unsupervised Anomaly Detection in Particle Physics
Anomaly detection relies on designing a score to determine whether a par...
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09/14/2020
Extracting the Subhalo Mass Function from Strong Lens Images with Image Segmentation
Detecting substructure within strongly lensed images is a promising rout...
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07/15/2019
Cataloging Accreted Stars within Gaia DR2 using Deep Learning
The goal of this paper is to develop a machine learning based approach t...
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09/28/2017
What is the Machine Learning?
Applications of machine learning tools to problems of physical interest ...
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06/28/2017