Machine Learning In Particle Physics
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(ml) is transforming society and wit.
Carrasquilla (perimeter institute for theoretical physics) max conference on the materials design ecosystem at exascale. Kyle cranmer, new york university, experiences with deep learning in particle physics this talk was presented during the national academy of sciences arthur. Physics of data live colloquium maurizio pierini cern the next generation particle experiments will face serious technical challenges, driven by th.
Hep is a dat. You will learn how cern has implemented an apache sparkbased data pipeline to support deep learning research work in high energy physics (hep). Nips 2014 workshop (baldi) highenergy particle physics, machine learning, and the higgsml.
Nips 2014 workshop (melis) highenergy particle physics, machine learning, and the higgsml. Jamie gainer university of hawaii title. A framework for unsupervised machine learning in particle physics.
Introduction to machine learning in particle physics abstract.
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