Machine Learning, and Other Advanced Computational Techniques
ORAL · B08 ·
Presentations
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Neutrino Identification using Convolutional Neural Networks in the NOvA Experiment
ORAL
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Authors
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Ryan Murphy
- Indiana Univ - Bloomington
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Electron Neutrino Energy Reconstruction with Convolutional Neural Network
ORAL
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Authors
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Shiqi Yu
- Illinois Inst of Tech /Argonne Nat. Laboratory
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Machine learning approaches to measure the hadronic recoil for a W mass precision measurement with the CMS experiment at LHC
ORAL
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Authors
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Olmo Cerri
- Caltech
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Measuring the WW cross section using the Random Forest MVA
ORAL
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Authors
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Thoth Gunter
- Northwestern Univ
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Michael Schmitt
- Northwestern Univ
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Deep Learning the Jet Response
ORAL
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Authors
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Rohan Bhandari
- Univ of California - Santa Barbara
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Raghav Elayavalli
- Wayne State University
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Alexx Perloff
- University of Colorado Boulder
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Andrew Whitbeck
- Fermi National Accelerator Lab
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Utilization of Machine Learning to Enhance Background Subtraction at E906/SeaQuest
ORAL
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Authors
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Marshall Scott
- Univ of Michigan - Ann Arbor
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A framework for PDFs at a photon collider
ORAL
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Authors
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Zack Sullivan
- Illinois Inst of Tech
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