We Know Where We Don't Know: 3D Bayesian CNNs for Credible Geometric Uncertainty
Author(s) -
Tyler LaBonte,
Carianne Martinez,
Scott Alan Roberts
Publication year - 2020
Publication title -
osti oai (u.s. department of energy office of scientific and technical information)
Language(s) - English
Resource type - Reports
DOI - 10.2172/1605518
Subject(s) - uncertainty quantification , artificial intelligence , deep learning , convolutional neural network , computer science , bayesian probability , dropout (neural networks) , machine learning , pattern recognition (psychology) , algorithm
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