Computational Techniques For Event Reconstruction - II
ORAL · Y13 ·
Presentations
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Sparse CNNs for Particle ID in ProtoDUNE-SP
ORAL
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Authors
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Carlos Sarasty Segura
- University of Cincinnati
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Using Neural Networks to Reconstruct GeV-Scale Neutrino Events in IceCube
ORAL
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Authors
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Jessie Micallef
- Michigan State Univ
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Neutrino Energy Estimation using CNNs in the NOvA Experiment
ORAL
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Authors
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Nitish Nayak
- University of California, Irvine
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Status of the measurement of the muon antineutrino charged-current neutral-pion production differential cross-section in the NOvA near detector
ORAL
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Authors
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Fan Gao
- University of Pittsburgh
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Search for Low Mass Resonances using CMS Data Scouting
ORAL
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Authors
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Abhijith Gandrakota
- Rutgers University, New Brunswick
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Realigning the goals of machine learning with the goals of physics
ORAL
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Authors
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Prasanth Shyamsundar
- University of Florida
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Konstantin Matchev
- University of Florida
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Optimized Wombling for LHC data
ORAL
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Authors
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Alex Roman
- University of Florida
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Konstantin Matchev
- University of Florida
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Prasanth Shyamsundar
- University of Florida
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Relegation classifier: a machine-learning approach for optimizing analysis significance in signal identification
ORAL
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Authors
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Michael McCracken
- Washington & Jefferson College
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Kripa George
- Washington & Jefferson College
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Neutrino Energy Reconstruction with Recurrent Neural Networks at NOvA
ORAL
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Authors
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Dmitrii Torbunov
- University of Minnesota
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