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Group Anomaly Detection using Deep Generative Models

Group Anomaly Detection using Deep Generative Models

13 April 2018
Raghavendra Chalapathy
E. Toth
Sanjay Chawla
ArXiv (abs)PDFHTML

Papers citing "Group Anomaly Detection using Deep Generative Models"

17 / 17 papers shown
Out-of-Distribution Detection using Maximum Entropy Coding
Out-of-Distribution Detection using Maximum Entropy Coding
M. Abolfazli
Mohammad Zaeri Amirani
Anders Høst-Madsen
Igor Molybog
A. Bratincsák
OOD
151
0
0
25 Apr 2024
GADformer: A Transparent Transformer Model for Group Anomaly Detection
  on Trajectories
GADformer: A Transparent Transformer Model for Group Anomaly Detection on TrajectoriesIEEE International Joint Conference on Neural Network (IJCNN), 2023
Andreas Lohrer
Darpan Malik
Claudius Zelenka
Peer Kröger
144
7
0
17 Mar 2023
Out-of-Distribution Detection using BiGAN and MDL
Out-of-Distribution Detection using BiGAN and MDL
M. Abolfazli
Mohammad Zaeri Arimani
A. Høst-Madsen
Igor Molybog
A. Bratincsák
OODD
196
1
0
03 Jun 2022
gen2Out: Detecting and Ranking Generalized Anomalies
gen2Out: Detecting and Ranking Generalized Anomalies
Meng-Chieh Lee
Shubhranshu Shekhar
Christos Faloutsos
T. Hutson
L. Iasemidis
151
14
0
06 Sep 2021
New Methods and Datasets for Group Anomaly Detection From Fundamental
  Physics
New Methods and Datasets for Group Anomaly Detection From Fundamental Physics
Gregor Kasieczka
Benjamin Nachman
David Shih
OOD
175
15
0
06 Jul 2021
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
A Comprehensive Survey on Graph Anomaly Detection with Deep LearningIEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Xiaoxiao Ma
Hongzhi Zhang
Shan Xue
Jian Yang
Chuan Zhou
Quan Z. Sheng
Hui Xiong
Leman Akoglu
GNNAI4TS
428
708
0
14 Jun 2021
CSCAD: Correlation Structure-based Collective Anomaly Detection in
  Complex System
CSCAD: Correlation Structure-based Collective Anomaly Detection in Complex SystemIEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Huiling Qin
Xianyuan Zhan
Yu Zheng
125
15
0
30 May 2021
Corner Cases for Visual Perception in Automated Driving: Some Guidance
  on Detection Approaches
Corner Cases for Visual Perception in Automated Driving: Some Guidance on Detection Approaches
Jasmin Breitenstein
Jan-Aike Termöhlen
Daniel Lipinski
Tim Fingscheidt
AAML
245
43
0
11 Feb 2021
Comparison of Anomaly Detectors: Context Matters
Comparison of Anomaly Detectors: Context MattersIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
V. Škvára
Jan Francå
Matěj Zorek
Tomás Pevný
Václav Smídl
380
10
0
11 Dec 2020
Bigeminal Priors Variational auto-encoder
Bigeminal Priors Variational auto-encoder
Xuming Ran
Mingkun Xu
Qi Xu
Huihui Zhou
Quanying Liu
158
3
0
05 Oct 2020
A Unifying Review of Deep and Shallow Anomaly Detection
A Unifying Review of Deep and Shallow Anomaly DetectionProceedings of the IEEE (Proc. IEEE), 2020
Lukas Ruff
Jacob R. Kauffmann
Robert A. Vandermeulen
G. Montavon
Wojciech Samek
Matthias Kirchler
Thomas G. Dietterich
Klaus-Robert Muller
UQCV
626
942
0
24 Sep 2020
Unsupervised Out-of-Distribution Detection with Batch Normalization
Unsupervised Out-of-Distribution Detection with Batch Normalization
Jiaming Song
Yang Song
Stefano Ermon
OODD
126
23
0
21 Oct 2019
Image anomaly detection with capsule networks and imbalanced datasets
Image anomaly detection with capsule networks and imbalanced datasetsInternational Conference on Image Analysis and Processing (ICIAP), 2019
C. Piciarelli
P. Mishra
G. Foresti
92
15
0
06 Sep 2019
Finding Rats in Cats: Detecting Stealthy Attacks using Group Anomaly
  Detection
Finding Rats in Cats: Detecting Stealthy Attacks using Group Anomaly Detection
Aditya Kuppa
Slawomir Grzonkowski
M. R. Asghar
Nhien-An Le-Khac
AAML
232
20
0
16 May 2019
TAPESTRY: A Blockchain based Service for Trusted Interaction Online
TAPESTRY: A Blockchain based Service for Trusted Interaction Online
Yifan Yang
Daniel Cooper
John Collomosse
C. Drăgan
M. Manulis
J. Steane
A. Manohar
J. Briggs
Helen S. Jones
Wendy Moncur
164
3
0
15 May 2019
CASTNet: Community-Attentive Spatio-Temporal Networks for Opioid
  Overdose Forecasting
CASTNet: Community-Attentive Spatio-Temporal Networks for Opioid Overdose Forecasting
A. Ertugrul
Y. Lin
T. Taşkaya-Temizel
196
13
0
12 May 2019
Deep Learning for Anomaly Detection: A Survey
Deep Learning for Anomaly Detection: A Survey
Raghavendra Chalapathy
Sanjay Chawla
AI4TS
696
1,682
0
10 Jan 2019
1
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