| Causal Discovery in Semi-Stationary Time Series | Jul 10, 2024 | Causal DiscoveryTime Series | CodeCode Available | 1 | 5 |
| Hierarchical forecasting with a top-down alignment of independent level forecasts | Mar 15, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Affect2MM: Affective Analysis of Multimedia Content Using Emotion Causality | Mar 11, 2021 | Scene UnderstandingTime Series | CodeCode Available | 1 | 5 |
| Advancing the State-of-the-Art for ECG Analysis through Structured State Space Models | Nov 14, 2022 | ECG ClassificationState Space Models | CodeCode Available | 1 | 5 |
| A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction | Jan 31, 2024 | DecoderGraph Learning | CodeCode Available | 1 | 5 |
| Causal Forecasting:Generalization Bounds for Autoregressive Models | Nov 18, 2021 | Learning TheoryTime Series | CodeCode Available | 1 | 5 |
| Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation | Jan 9, 2025 | Test-time AdaptationTime Series | CodeCode Available | 1 | 5 |
| AnomalyBERT: Self-Supervised Transformer for Time Series Anomaly Detection using Data Degradation Scheme | May 8, 2023 | Anomaly DetectionTime Series | CodeCode Available | 1 | 5 |
| High-Dimensional Granger Causality Tests with an Application to VIX and News | Dec 13, 2019 | regressionTime Series | CodeCode Available | 1 | 5 |
| An End-to-end Deep Reinforcement Learning Approach for the Long-term Short-term Planning on the Frenet Space | Nov 26, 2020 | Decision MakingDeep Reinforcement Learning | CodeCode Available | 1 | 5 |
