| Deep Latent State Space Models for Time-Series Generation | Dec 24, 2022 | State Space ModelsTime Series | CodeCode Available | 1 | 5 |
| DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data | May 5, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Deep Generative model with Hierarchical Latent Factors for Time Series Anomaly Detection | Feb 15, 2022 | Anomaly DetectionMissing Values | CodeCode Available | 1 | 5 |
| Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective | Feb 18, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 1 | 5 |
| Deep Explicit Duration Switching Models for Time Series | Oct 26, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Deep Isolation Forest for Anomaly Detection | Jun 14, 2022 | Anomaly DetectionTime Series | CodeCode Available | 1 | 5 |
| Deep Learning for Time Series Anomaly Detection: A Survey | Nov 9, 2022 | Anomaly DetectionDeep Learning | CodeCode Available | 1 | 5 |
| Attention based Multi-Modal New Product Sales Time-series Forecasting | Aug 23, 2020 | DecoderNew Product Sales Forecasting | CodeCode Available | 1 | 5 |
| Deep ConvLSTM with self-attention for human activity decoding using wearables | May 2, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Deep Counterfactual Estimation with Categorical Background Variables | Oct 11, 2022 | Causal Inferencecounterfactual | CodeCode Available | 1 | 5 |
