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Quantifying Uncertainty in Deep Learning Approaches to Radio Galaxy Classification
4 January 2022
Devina Mohan
A. Scaife
Fiona A. M. Porter
Mike Walmsley
Micah Bowles
UQCV
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Papers citing
"Quantifying Uncertainty in Deep Learning Approaches to Radio Galaxy Classification"
3 / 3 papers shown
Evaluating Bayesian deep learning for radio galaxy classification
Devina Mohan
Anna M. M. Scaife
UQCV
BDL
518
4
0
28 May 2024
MiraBest: A Dataset of Morphologically Classified Radio Galaxies for Machine Learning
RAS Techniques and Instruments (RTI), 2023
Fiona A. M. Porter
A. Scaife
204
15
0
18 May 2023
Using Bayesian Deep Learning to infer Planet Mass from Gaps in Protoplanetary Disks
Astrophysical Journal (ApJ), 2022
Sayantan Auddy
Ramit Dey
Min-Kai Lin
D. Carrera
J. Simon
UQCV
BDL
113
7
0
23 Feb 2022
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