JUNIPR: a Framework for Unsupervised Machine Learning in Particle Physics

25 Apr 2018Anders AndreassenIlya FeigeChristopher FryeMatthew D. Schwartz

In applications of machine learning to particle physics, a persistent challenge is how to go beyond discrimination to learn about the underlying physics. To this end, a powerful tool would be a framework for unsupervised learning, where the machine learns the intricate high-dimensional contours of the data upon which it is trained, without reference to pre-established labels... (read more)

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