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A Deep Learning Approach for Active Anomaly Detection of Extragalactic
  Transients

A Deep Learning Approach for Active Anomaly Detection of Extragalactic Transients

22 March 2021
V. A. Villar
M. Cranmer
E. Berger
Gabriella Contardo
S. Ho
G. Hosseinzadeh
J. Lin
ArXivPDFHTML

Papers citing "A Deep Learning Approach for Active Anomaly Detection of Extragalactic Transients"

5 / 5 papers shown
Title
Multivariate Time-series Anomaly Detection via Graph Attention Network
Multivariate Time-series Anomaly Detection via Graph Attention Network
Hang Zhao
Yujing Wang
Juanyong Duan
Congrui Huang
Defu Cao
Yunhai Tong
Bixiong Xu
Jing Bai
Jie Tong
Qi Zhang
AI4TS
35
432
0
04 Sep 2020
Array Programming with NumPy
Array Programming with NumPy
Charles R. Harris
K. Millman
S. Walt
R. Gommers
Pauli Virtanen
...
Tyler Reddy
Warren Weckesser
Hameer Abbasi
C. Gohlke
T. Oliphant
113
14,883
0
18 Jun 2020
Classifying Image Sequences of Astronomical Transients with Deep Neural
  Networks
Classifying Image Sequences of Astronomical Transients with Deep Neural Networks
C. Caballero
Mauricio Neira
M. H. Hoyos
Pablo Arbelaez
J. Forero-Romero
21
17
0
28 Apr 2020
Active Anomaly Detection for time-domain discoveries
Active Anomaly Detection for time-domain discoveries
E. Ishida
M. Kornilov
K. Malanchev
M. Pruzhinskaya
A. Volnova
V. Korolev
F. Mondon
S. Sreejith
Anastasia Malancheva
S. Das
15
35
0
29 Sep 2019
RAPID: Early Classification of Explosive Transients using Deep Learning
RAPID: Early Classification of Explosive Transients using Deep Learning
D. Muthukrishna
G. Narayan
K. Mandel
R. Biswas
R. Hložek
42
108
0
29 Mar 2019
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