POST: Prior-Observation Adversarial Learning of Spatio-Temporal Associations for Multivariate Time Series Anomaly Detection
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Suofei, Zheng, Yaxuan, Hu, Haifeng |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Temporal-Conditioned Normalizing Flows for Multivariate Time Series Anomaly Detection
by: Baumgartner, David, et al.
Published: (2026)
by: Baumgartner, David, et al.
Published: (2026)
Structured Temporal Causality for Interpretable Multivariate Time Series Anomaly Detection
by: Cho, Dongchan, et al.
Published: (2025)
by: Cho, Dongchan, et al.
Published: (2025)
Clustering-based Anomaly Detection in Multivariate Time Series Data
by: Li, Jinbo, et al.
Published: (2025)
by: Li, Jinbo, et al.
Published: (2025)
Causal Disentanglement Learning for Accurate Anomaly Detection in Multivariate Time Series
by: Kim, Wonah, et al.
Published: (2025)
by: Kim, Wonah, et al.
Published: (2025)
Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection
by: Kim, HyunGi, et al.
Published: (2025)
by: Kim, HyunGi, et al.
Published: (2025)
Unsupervised Distance Metric Learning for Anomaly Detection Over Multivariate Time Series
by: Yuan, Hanyang, et al.
Published: (2024)
by: Yuan, Hanyang, et al.
Published: (2024)
DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series
by: Darban, Zahra Zamanzadeh, et al.
Published: (2024)
by: Darban, Zahra Zamanzadeh, et al.
Published: (2024)
Graph Mixture of Experts and Memory-augmented Routers for Multivariate Time Series Anomaly Detection
by: Huang, Xiaoyu, et al.
Published: (2024)
by: Huang, Xiaoyu, et al.
Published: (2024)
Graph Spatiotemporal Process for Multivariate Time Series Anomaly Detection with Missing Values
by: Zheng, Yu, et al.
Published: (2024)
by: Zheng, Yu, et al.
Published: (2024)
Spatio-temporal Multivariate Time Series Forecast with Chosen Variables
by: Liu, Zibo, et al.
Published: (2025)
by: Liu, Zibo, et al.
Published: (2025)
Federated Quantum Kernel Learning for Anomaly Detection in Multivariate IoT Time-Series
by: Chen, Kuan-Cheng, et al.
Published: (2025)
by: Chen, Kuan-Cheng, et al.
Published: (2025)
MTAD: Tools and Benchmarks for Multivariate Time Series Anomaly Detection
by: Liu, Jinyang, et al.
Published: (2024)
by: Liu, Jinyang, et al.
Published: (2024)
Probabilistic Learning of Multivariate Time Series with Temporal Irregularity
by: Li, Yijun, et al.
Published: (2023)
by: Li, Yijun, et al.
Published: (2023)
Self-Supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection
by: Chen, Yutong, et al.
Published: (2024)
by: Chen, Yutong, et al.
Published: (2024)
Multivariate Time Series Anomaly Detection by Capturing Coarse-Grained Intra- and Inter-Variate Dependencies
by: Xie, Yongzheng, et al.
Published: (2025)
by: Xie, Yongzheng, et al.
Published: (2025)
Nested Spatio-Temporal Time Series Forecasting
by: Ai, Yinghao, et al.
Published: (2026)
by: Ai, Yinghao, et al.
Published: (2026)
Multivariate Time-Series Anomaly Detection based on Enhancing Graph Attention Networks with Topological Analysis
by: Liu, Zhe, et al.
Published: (2024)
by: Liu, Zhe, et al.
Published: (2024)
mTSBench: Benchmarking Multivariate Time Series Anomaly Detection and Model Selection at Scale
by: Zhou, Xiaona, et al.
Published: (2025)
by: Zhou, Xiaona, et al.
Published: (2025)
ScatterAD: Temporal-Topological Scattering Mechanism for Time Series Anomaly Detection
by: Yin, Tao, et al.
Published: (2025)
by: Yin, Tao, et al.
Published: (2025)
From Chaos to Clarity: Time Series Anomaly Detection in Astronomical Observations
by: Hao, Xinli, et al.
Published: (2024)
by: Hao, Xinli, et al.
Published: (2024)
STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via
by: Liang, Yuanyuan, et al.
Published: (2025)
by: Liang, Yuanyuan, et al.
Published: (2025)
Entropy Causal Graphs for Multivariate Time Series Anomaly Detection
by: Febrinanto, Falih Gozi, et al.
Published: (2023)
by: Febrinanto, Falih Gozi, et al.
Published: (2023)
Machine Learning-based vs Deep Learning-based Anomaly Detection in Multivariate Time Series for Spacecraft Attitude Sensors
by: Gallon, R., et al.
Published: (2024)
by: Gallon, R., et al.
Published: (2024)
CANDI: Curated Test-Time Adaptation for Multivariate Time-Series Anomaly Detection Under Distribution Shift
by: Kim, HyunGi, et al.
Published: (2026)
by: Kim, HyunGi, et al.
Published: (2026)
Dynamic Reward Scaling for Multivariate Time Series Anomaly Detection: A VAE-Enhanced Reinforcement Learning Approach
by: Golchin, Bahareh, et al.
Published: (2025)
by: Golchin, Bahareh, et al.
Published: (2025)
AMAD: AutoMasked Attention for Unsupervised Multivariate Time Series Anomaly Detection
by: Huang, Tiange, et al.
Published: (2025)
by: Huang, Tiange, et al.
Published: (2025)
Dynamic Hypergraph Representation Learning for Multivariate Time Series without Prior Knowledge
by: Gregnanin, Marco, et al.
Published: (2026)
by: Gregnanin, Marco, et al.
Published: (2026)
PAST: A Primary-Auxiliary Spatio-Temporal Network for Traffic Time Series Imputation
by: Hu, Hanwen, et al.
Published: (2025)
by: Hu, Hanwen, et al.
Published: (2025)
Spatio-Temporal Graphs Beyond Grids: Benchmark for Maritime Anomaly Detection
by: Kim, Jeehong, et al.
Published: (2025)
by: Kim, Jeehong, et al.
Published: (2025)
Weakly Supervised Video Anomaly Detection and Localization with Spatio-Temporal Prompts
by: Wu, Peng, et al.
Published: (2024)
by: Wu, Peng, et al.
Published: (2024)
BeSTAD: Behavior-Aware Spatio-Temporal Anomaly Detection for Human Mobility Data
by: Xie, Junyi, et al.
Published: (2025)
by: Xie, Junyi, et al.
Published: (2025)
DARTs: A Dual-Path Robust Framework for Anomaly Detection in High-Dimensional Multivariate Time Series
by: Liu, Xuechun, et al.
Published: (2025)
by: Liu, Xuechun, et al.
Published: (2025)
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data
by: Yang, Yiyuan, et al.
Published: (2024)
by: Yang, Yiyuan, et al.
Published: (2024)
Enhancing Multivariate Time Series Forecasting with Global Temporal Retrieval
by: Cao, Fanpu, et al.
Published: (2026)
by: Cao, Fanpu, et al.
Published: (2026)
Video Anomaly Detection via Spatio-Temporal Pseudo-Anomaly Generation : A Unified Approach
by: Rai, Ayush K., et al.
Published: (2023)
by: Rai, Ayush K., et al.
Published: (2023)
Warped Time Series Anomaly Detection
by: Lacoquelle, Charlotte, et al.
Published: (2024)
by: Lacoquelle, Charlotte, et al.
Published: (2024)
GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality
by: Liu, Zehao, et al.
Published: (2025)
by: Liu, Zehao, et al.
Published: (2025)
A Graph Prompt Fine-Tuning Method for WSN Spatio-Temporal Correlation Anomaly Detection
by: Ye, Miao, et al.
Published: (2026)
by: Ye, Miao, et al.
Published: (2026)
Learning Unified Representations of Normalcy for Time Series Anomaly Detection
by: Sarker, Prithul, et al.
Published: (2026)
by: Sarker, Prithul, et al.
Published: (2026)
Multivariate Time series Anomaly Detection:A Framework of Hidden Markov Models
by: Li, Jinbo, et al.
Published: (2025)
by: Li, Jinbo, et al.
Published: (2025)
Similar Items
-
Temporal-Conditioned Normalizing Flows for Multivariate Time Series Anomaly Detection
by: Baumgartner, David, et al.
Published: (2026) -
Structured Temporal Causality for Interpretable Multivariate Time Series Anomaly Detection
by: Cho, Dongchan, et al.
Published: (2025) -
Clustering-based Anomaly Detection in Multivariate Time Series Data
by: Li, Jinbo, et al.
Published: (2025) -
Causal Disentanglement Learning for Accurate Anomaly Detection in Multivariate Time Series
by: Kim, Wonah, et al.
Published: (2025) -
Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection
by: Kim, HyunGi, et al.
Published: (2025)