- Unsupervised Model Selection for Time Series Anomaly Detection (ICLR 2023) [paper]
- TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis (ICLR 2023) [paper] [code]
- Detecting Multivariate Time Series Anomalies with Zero Known Label (AAAI 2023) [paper]
- Towards a rigorous evaluation of time-series anomaly detection (AAAI 2022) [paper]
- Ts2vec: Towards universal representation of time series (AAAI 2022) [paper]
- Deep variational graph convolutional recurrent network for multivariate time series anomaly detection (ICML 2022) [paper]
- Rethinking graph neural networks for anomaly detection (ICML 2022) [paper] [code]
- GRELEN: Multivariate time series anomaly detection from the perspective of graph relational learning (IJCAI 2022) [paper]
- Neural Contextual Anomaly Detection for Time Series (IJCAI 2022) [paper]
- Time Series Anomaly Detection with Association Discrepancy (ICLR 2022) [paper] [code]
- Graph-augmented normalizing flows for anomaly detection of multiple time series (ICLR 2022) [paper] [code]
- Graph Neural Network-Based Anomaly Detection in Multivariate Time Series (AAAI 2021) [paper] [code]
- Time Series Anomaly Detection with Multiresolution Ensemble Decoding (AAAI 2021) [paper]
- Neural Transformation Learning for Deep Anomaly Detection Beyond Images (ICML 2021) [paper][code]
- Conformal prediction interval for dynamic time-series (ICML 2021) [paper][code]
- Revisiting time series outlier detection: Definitions and benchmarks (NeurIPS 2021) (Dataset) [paper]
- Timeseries anomaly detection using temporal hierarchical one-class network (NeurIPS 2020) [paper]
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