| Deep Generative model with Hierarchical Latent Factors for Time Series Anomaly Detection | Feb 15, 2022 | Anomaly DetectionMissing Values | CodeCode Available | 1 |
| AA-Forecast: Anomaly-Aware Forecast for Extreme Events | Aug 21, 2022 | Anomaly ForecastingMultivariate Time Series Forecasting | CodeCode Available | 1 |
| Deep Isolation Forest for Anomaly Detection | Jun 14, 2022 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| Deep Explicit Duration Switching Models for Time Series | Oct 26, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Deep Dynamic Factor Models | Jul 23, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data | May 5, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Deep Counterfactual Estimation with Categorical Background Variables | Oct 11, 2022 | Causal Inferencecounterfactual | CodeCode Available | 1 |
| Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths | Mar 19, 2023 | Dynamic Time WarpingInformation Retrieval | CodeCode Available | 1 |
| Deep Learning for Time Series Anomaly Detection: A Survey | Nov 9, 2022 | Anomaly DetectionDeep Learning | CodeCode Available | 1 |
| Deep Time Series Forecasting with Shape and Temporal Criteria | Apr 9, 2021 | Change DetectionDiversity | CodeCode Available | 1 |
| AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting | Feb 14, 2025 | Multivariate Time Series ForecastingRepresentation Learning | CodeCode Available | 1 |
| Deep Attentive Time Warping | Sep 13, 2023 | Dynamic Time WarpingMetric Learning | CodeCode Available | 1 |
| Deep Adaptive Input Normalization for Time Series Forecasting | Feb 21, 2019 | Load ForecastingTime Series | CodeCode Available | 1 |
| AGNet: Weighing Black Holes with Machine Learning | Nov 30, 2020 | BIG-bench Machine LearningTime Series | CodeCode Available | 1 |
| Deep and Confident Prediction for Time Series at Uber | Sep 6, 2017 | Anomaly DetectionPrediction | CodeCode Available | 1 |
| Deep Autoregressive Models with Spectral Attention | Jul 13, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Decomposing non-stationary signals with time-varying wave-shape functions | Oct 14, 2020 | Computational Efficiencyregression | CodeCode Available | 1 |
| Deconvolutional Time Series Regression: A Technique for Modeling Temporally Diffuse Effects | Oct 1, 2018 | regressionTime Series | CodeCode Available | 1 |
| Dataset: Impact Events for Structural Health Monitoring of a Plastic Thin Plate | Sep 20, 2022 | Structural Health MonitoringTime Series | CodeCode Available | 1 |
| AGNet: Weighing Black Holes with Deep Learning | Aug 17, 2021 | Deep LearningTime Series | CodeCode Available | 1 |
| dCAM: Dimension-wise Class Activation Map for Explaining Multivariate Data Series Classification | Jul 25, 2022 | ClassificationExplainable Models | CodeCode Available | 1 |
| Decoupling Local and Global Representations of Time Series | Feb 4, 2022 | counterfactualTime Series | CodeCode Available | 1 |
| Deep Contrastive One-Class Time Series Anomaly Detection | Jul 4, 2022 | Anomaly DetectionContrastive Learning | CodeCode Available | 1 |
| DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series | Apr 17, 2024 | Anomaly DetectionContrastive Learning | CodeCode Available | 1 |
| D3A-TS: Denoising-Driven Data Augmentation in Time Series | Dec 9, 2023 | Data AugmentationDenoising | CodeCode Available | 1 |
