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Deep Recurrent Neural Networks for Supernovae Classification
23 June 2016
Tom Charnock
A. Moss
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Papers citing
"Deep Recurrent Neural Networks for Supernovae Classification"
11 / 11 papers shown
Title
Deep Attention-Based Supernovae Classification of Multi-Band Light-Curves
O. Pimentel
P. Estévez
F. Förster
56
14
0
20 Jan 2022
The effect of phased recurrent units in the classification of multiple catalogs of astronomical lightcurves
C. Donoso-Oliva
Guillermo Cabrera-Vives
P. Protopapas
R. Carrasco-Davis
P. Estévez
43
7
0
07 Jun 2021
Classifying Image Sequences of Astronomical Transients with Deep Neural Networks
C. Caballero
Mauricio Neira
M. H. Hoyos
Pablo Arbelaez
J. Forero-Romero
36
17
0
28 Apr 2020
Scalable End-to-end Recurrent Neural Network for Variable star classification
I. Becker
K. Pichara
M. Catelán
P. Protopapas
Carlos Aguirre
Fatemeh Nikzat
43
29
0
03 Feb 2020
Machine Learning and the future of Supernova Cosmology
E. Ishida
32
24
0
06 Aug 2019
RAPID: Early Classification of Explosive Transients using Deep Learning
D. Muthukrishna
G. Narayan
K. Mandel
R. Biswas
R. Hložek
74
110
0
29 Mar 2019
A CNN adapted to time series for the classification of Supernovae
Anthony Brunel
Johanna Pasquet
Jérôme Pasquet
Nancy Rodriguez
Frédéric Comby
D. Fouchez
Marc Chaumont
59
27
0
02 Jan 2019
Galaxy morphology prediction using capsule networks
R. Katebi
Yadi Zhou
R. Chornock
Razvan Bunescu
MedIm
3DPC
17
17
0
22 Sep 2018
Fast Point Spread Function Modeling with Deep Learning
J. Herbel
T. Kacprzak
A. Amara
Alexandre Réfrégier
Aurelien Lucchi
67
44
0
23 Jan 2018
Effective Image Differencing with ConvNets for Real-time Transient Hunting
Nima Sedaghat
Ashish Mahabal
60
30
0
04 Oct 2017
Stacking machine learning classifiers to identify Higgs bosons at the LHC
A. Alves
93
32
0
21 Dec 2016
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