Batavia
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United States
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Inferring Convolutional Neural Networks' accuracies from their architectural characterizations
Convolutional Neural Networks (CNNs) have shown strong promise for analy...
01/07/2020 ∙ by D. Hoang, et al. ∙
27
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A Deep Neural Network for Pixel-Level Electromagnetic Particle Identification in the MicroBooNE Liquid Argon Time Projection Chamber
We have developed a convolutional neural network (CNN) that can make a p...
08/22/2018 ∙ by MicroBooNE collaboration, et al. ∙
2
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CMS Analysis and Data Reduction with Apache Spark
Experimental Particle Physics has been at the forefront of analyzing the...
10/31/2017 ∙ by Oliver Gutsche, et al. ∙
0
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The archive solution for distributed workflow management agents of the CMS experiment at LHC
The CMS experiment at the CERN LHC developed the Workflow Management Arc...
01/11/2018 ∙ by Valentin Kuznetsov, et al. ∙
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Using Big Data Technologies for HEP Analysis
The HEP community is approaching an era were the excellent performances ...
01/22/2019 ∙ by Matteo Cremonesi, et al. ∙
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A Dynamic Reduction Network for Point Clouds
Classifying whole images is a classic problem in machine learning, and g...
03/18/2020 ∙ by Lindsey Gray, et al. ∙
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Deeply Uncertain: Comparing Methods of Uncertainty Quantification in Deep Learning Algorithms
We present a comparison of methods for uncertainty quantification (UQ) i...
04/22/2020 ∙ by João Caldeira, et al. ∙
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Bayesian model averaging for analysis of lattice field theory results
Statistical modeling is a key component in the extraction of physical re...
08/03/2020 ∙ by William I. Jay, et al. ∙
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Domain adaptation techniques for improved cross-domain study of galaxy mergers
In astronomy, neural networks are often trained on simulated data with t...
11/06/2020 ∙ by A. Ćiprijanović, et al. ∙
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