| Decoupling Local and Global Representations of Time Series | Feb 4, 2022 | counterfactualTime Series | CodeCode Available | 1 |
| Deep Adaptive Input Normalization for Time Series Forecasting | Feb 21, 2019 | Load ForecastingTime Series | CodeCode Available | 1 |
| Automated Evolutionary Approach for the Design of Composite Machine Learning Pipelines | Jun 26, 2021 | BIG-bench Machine LearningManagement | CodeCode Available | 1 |
| Deep Contrastive One-Class Time Series Anomaly Detection | Jul 4, 2022 | Anomaly DetectionContrastive Learning | 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 |
| DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data | May 5, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations | Jun 16, 2022 | Causal Inferencecounterfactual | CodeCode Available | 1 |
| Attention to Warp: Deep Metric Learning for Multivariate Time Series | Mar 28, 2021 | Dynamic Time WarpingMetric Learning | CodeCode Available | 1 |
| Deep Isolation Forest for Anomaly Detection | Jun 14, 2022 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting | Sep 4, 2021 | Irregular Time SeriesRepresentation Learning | CodeCode Available | 1 |
| Convolutional Radio Modulation Recognition Networks | Feb 12, 2016 | General ClassificationTime Series | CodeCode Available | 1 |
| Crop Rotation Modeling for Deep Learning-Based Parcel Classification from Satellite Time Series | Oct 15, 2021 | ClassificationCrop Classification | CodeCode Available | 1 |
| Neural graphical modelling in continuous-time: consistency guarantees and algorithms | May 6, 2021 | Causal DiscoveryGraph Learning | CodeCode Available | 1 |
| Deep reconstruction of strange attractors from time series | Feb 14, 2020 | Dimensionality ReductionTime Series | CodeCode Available | 1 |
| Deep Learning Statistical Arbitrage | Jun 8, 2021 | Deep LearningTime Series | CodeCode Available | 1 |
| Deep Semi-Supervised Learning for Time Series Classification | Feb 6, 2021 | ClassificationData Augmentation | CodeCode Available | 1 |
| DeepSense: A Unified Deep Learning Framework for Time-Series Mobile Sensing Data Processing | Nov 7, 2016 | Activity RecognitionGeneral Classification | CodeCode Available | 1 |
| Automatic Change-Point Detection in Time Series via Deep Learning | Nov 7, 2022 | Change Point DetectionDeep Learning | CodeCode Available | 1 |
| Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting | Mar 8, 2024 | Time Series | CodeCode Available | 1 |
| Construe: a software solution for the explanation-based interpretation of time series | Mar 17, 2020 | Atrial Fibrillation DetectionHeartbeat Classification | CodeCode Available | 1 |
| Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case | Jan 23, 2020 | BIG-bench Machine LearningTime Series | CodeCode Available | 1 |
| DeepVARwT: Deep Learning for a VAR Model with Trend | Sep 21, 2022 | Deep LearningTime Series | CodeCode Available | 1 |
| DeepVATS: Deep Visual Analytics for Time Series | Feb 8, 2023 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Conformal Time-series Forecasting | Dec 1, 2021 | Conformal PredictionDecision Making | CodeCode Available | 1 |
