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Galaxy Zoo: Probabilistic Morphology through Bayesian CNNs and Active
  Learning

Galaxy Zoo: Probabilistic Morphology through Bayesian CNNs and Active Learning

17 May 2019
Mike Walmsley
Lewis Smith
Chris J. Lintott
Y. Gal
S. Bamford
H. Dickinson
Lucy Fortson
Sandor Kruk
K. Masters
C. Scarlata
B. Simmons
R. Smethurst
D. Wright
ArXivPDFHTML

Papers citing "Galaxy Zoo: Probabilistic Morphology through Bayesian CNNs and Active Learning"

6 / 6 papers shown
Title
Bayesian and Convolutional Networks for Hierarchical Morphological
  Classification of Galaxies
Bayesian and Convolutional Networks for Hierarchical Morphological Classification of Galaxies
Jonathan Serrano-Pérez
Raquel Díaz-Hernández
L. Sucar
17
1
0
03 May 2024
Learning Uncertainty with Artificial Neural Networks for Improved
  Predictive Process Monitoring
Learning Uncertainty with Artificial Neural Networks for Improved Predictive Process Monitoring
Hans Weytjens
Jochen De Weerdt
19
17
0
13 Jun 2022
Revisiting Citizen Science Through the Lens of Hybrid Intelligence
Revisiting Citizen Science Through the Lens of Hybrid Intelligence
J. Rafner
M. Gajdacz
Gitte Kragh
A. Hjorth
A. Gander
...
J. Miller
Dominik Dellerman
M. Haklay
Pietro Michelucci
J. Sherson
16
13
0
30 Apr 2021
Self-Supervised Representation Learning for Astronomical Images
Self-Supervised Representation Learning for Astronomical Images
Md. Abul Hayat
G. Stein
P. Harrington
Z. Lukić
Mustafa A. Mustafa
SSL
17
42
0
24 Dec 2020
Morpheus: A Deep Learning Framework For Pixel-Level Analysis of
  Astronomical Image Data
Morpheus: A Deep Learning Framework For Pixel-Level Analysis of Astronomical Image Data
R. Hausen
B. Robertson
13
67
0
26 Jun 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
270
5,660
0
05 Dec 2016
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