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1606.07442
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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"
12 / 12 papers shown
Title
MAGIC: Microlensing Analysis Guided by Intelligent Computation
Haimeng 海萌 Zhao 赵
W. Zhu 祝
39
3
0
16 Jun 2022
Deep Attention-Based Supernovae Classification of Multi-Band Light-Curves
O. Pimentel
P. Estévez
F. Förster
127
17
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
70
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
54
18
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
63
33
0
03 Feb 2020
Machine Learning and the future of Supernova Cosmology
E. Ishida
48
24
0
06 Aug 2019
RAPID: Early Classification of Explosive Transients using Deep Learning
D. Muthukrishna
G. Narayan
K. Mandel
R. Biswas
R. Hložek
96
115
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
74
27
0
02 Jan 2019
Galaxy morphology prediction using capsule networks
R. Katebi
Yadi Zhou
R. Chornock
Razvan Bunescu
MedIm
3DPC
59
17
0
22 Sep 2018
Fast Point Spread Function Modeling with Deep Learning
J. Herbel
T. Kacprzak
A. Amara
Alexandre Réfrégier
Aurelien Lucchi
100
44
0
23 Jan 2018
Effective Image Differencing with ConvNets for Real-time Transient Hunting
Nima Sedaghat
Ashish Mahabal
60
31
0
04 Oct 2017
Stacking machine learning classifiers to identify Higgs bosons at the LHC
A. Alves
157
32
0
21 Dec 2016
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