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TSINR: Capturing Temporal Continuity via Implicit Neural Representations for Time Series Anomaly Detection
18 November 2024
Mengxuan Li
Ke Liu
Hongyang Chen
Jiajun Bu
Hongwei Wang
Haishuai Wang
AI4TS
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Papers citing
"TSINR: Capturing Temporal Continuity via Implicit Neural Representations for Time Series Anomaly Detection"
34 / 34 papers shown
Title
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Multi-scale Cross-restoration Framework for Electrocardiogram Anomaly Detection
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03 Aug 2023
Implicit Neural Representation in Medical Imaging: A Comparative Survey
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30 Jul 2023
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Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations
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Yuan Yin
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Vincent Guigue
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09 Jun 2023
One Fits All:Power General Time Series Analysis by Pretrained LM
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Peisong Niu
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Rong Jin
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23 Feb 2023
SCCAM: Supervised Contrastive Convolutional Attention Mechanism for Ante-hoc Interpretable Fault Diagnosis with Limited Fault Samples
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Peng Peng
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Nong Sang
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03 Feb 2023
Hilbert Distillation for Cross-Dimensionality Networks
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Zhe Liu
Hongjia Xu
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64
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Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures
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04 Jul 2022
VideoINR: Learning Video Implicit Neural Representation for Continuous Space-Time Super-Resolution
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Jingwen Liu
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Humphrey Shi
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Time-Series Anomaly Detection with Implicit Neural Representation
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TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data
Shreshth Tuli
G. Casale
N. Jennings
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18 Jan 2022
Implicit Neural Representations for Image Compression
Yannick Strümpler
Janis Postels
Ren Yang
Luc van Gool
F. Tombari
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08 Dec 2021
Neural Fields in Visual Computing and Beyond
Yiheng Xie
Towaki Takikawa
Shunsuke Saito
Or Litany
Shiqin Yan
Numair Khan
Federico Tombari
James Tompkin
Vincent Sitzmann
Srinath Sridhar
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228
637
0
22 Nov 2021
Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy
Jiehui Xu
Haixu Wu
Jianmin Wang
Mingsheng Long
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111
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06 Oct 2021
Distilling Holistic Knowledge with Graph Neural Networks
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Yucheng Wang
Defang Chen
Jiawei Chen
Xin Eric Wang
Can Wang
Jiajun Bu
70
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12 Aug 2021
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting
Haixu Wu
Jiehui Xu
Jianmin Wang
Mingsheng Long
AI4TS
119
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0
24 Jun 2021
Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT
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Dingshuo Chen
Xiao Zhang
Zixuan Yuan
Xiuzhen Cheng
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100
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0
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Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding
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Daniel V. Smith
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Flora D. Salim
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Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
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Jakob Uszkoreit
N. Houlsby
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ContactNets: Learning Discontinuous Contact Dynamics with Smooth, Implicit Representations
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Mathew Halm
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Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
Matthew Tancik
Pratul P. Srinivasan
B. Mildenhall
Sara Fridovich-Keil
N. Raghavan
Utkarsh Singhal
R. Ramamoorthi
Jonathan T. Barron
Ren Ng
135
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Implicit Neural Representations with Periodic Activation Functions
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Julien N. P. Martel
Alexander W. Bergman
David B. Lindell
Gordon Wetzstein
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209
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NFAD: Fixing anomaly detection using normalizing flows
Artem Sergeevich Ryzhikov
M. Borisyak
Andrey Ustyuzhanin
D. Derkach
42
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U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging
Mathias Perslev
M. Jensen
S. Darkner
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Christian Igel
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138
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N-BEATS: Neural basis expansion analysis for interpretable time series forecasting
Boris N. Oreshkin
Dmitri Carpov
Nicolas Chapados
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139
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On the Spectral Bias of Neural Networks
Nasim Rahaman
A. Baratin
Devansh Arpit
Felix Dräxler
Min Lin
Fred Hamprecht
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Aaron Courville
170
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22 Jun 2018
Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding
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V. Constantinou
Christopher Laporte
Ian Colwell
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Yuuna Hoshi
Charles C. Kemp
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Noam M. Shazeer
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