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Published at November 13

DeepUQ: Assessing the Aleatoric Uncertainties from two Deep Learning Methods

cs.LG

cs.AI

Released Date: November 13, 2024

Authors: Rebecca Nevin¹, Aleksandra Ćiprijanović, Brian D. Nord²

Aff.: ¹Fermi National Accelerator Laboratory; ²Fermi National Accelerator Laboratory, Department of Astronomy and Astrophysics, University of Chicago, Kavli Institute for Cosmological Physics, University of Chicago

Arxiv: http://arxiv.org/abs/2411.08587v1

Metric	0D Data				2D Data
Metric	Output Injection		Input Injection		Output Injection		Input Injection
	DE	DER	DE	DER	DE	DER	DE	DER
MSE Metric	0.0001	0.0001	0.0001	0.0001	0.0006	0.0002	0.0002	0.0001
Loss	-0.0502	-3.0890	-0.0416	-2.9338	-0.0426	-2.7691	-0.0993	-3.0639