| Automatic Posterior Transformation for Likelihood-Free Inference | May 17, 2019 | Bayesian InferenceTime Series | CodeCode Available | 1 | 5 |
| Automatic Change-Point Detection in Time Series via Deep Learning | Nov 7, 2022 | Change Point DetectionDeep Learning | CodeCode Available | 1 | 5 |
| Deep Semi-Supervised Learning for Time Series Classification | Feb 6, 2021 | ClassificationData Augmentation | CodeCode Available | 1 | 5 |
| DeepSITH: Efficient Learning via Decomposition of What and When Across Time Scales | Apr 9, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Deep reconstruction of strange attractors from time series | Feb 14, 2020 | Dimensionality ReductionTime Series | CodeCode Available | 1 | 5 |
| Deep Learning Statistical Arbitrage | Jun 8, 2021 | Deep LearningTime Series | CodeCode Available | 1 | 5 |
| Automatically identifying ordinary differential equations from data | Apr 21, 2023 | Denoisingregression | CodeCode Available | 1 | 5 |
| A Joint Time-frequency Domain Transformer for Multivariate Time Series Forecasting | May 24, 2023 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 | 5 |
| Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey | Feb 6, 2023 | Activity RecognitionClassification | CodeCode Available | 1 | 5 |
| Deep Recurrent Model for Individualized Prediction of Alzheimer's Disease Progression | May 6, 2020 | ImputationMissing Values | CodeCode Available | 1 | 5 |
| Deep Stock Predictions | Jun 8, 2020 | Portfolio OptimizationPrediction | CodeCode Available | 1 | 5 |
| DeepVARwT: Deep Learning for a VAR Model with Trend | Sep 21, 2022 | Deep LearningTime Series | CodeCode Available | 1 | 5 |
| Deep Learning-based Damage Mapping with InSAR Coherence Time Series | May 24, 2021 | Deep LearningTime Series | CodeCode Available | 1 | 5 |
| Deep Learning for Detecting and Early Predicting Chronic Obstructive Pulmonary Disease from Spirogram Time Series | May 6, 2024 | DiagnosticTime Series | CodeCode Available | 1 | 5 |
| Autoencoder Based Iterative Modeling and Multivariate Time-Series Subsequence Clustering Algorithm | Sep 9, 2022 | ClusteringClustering Algorithms Evaluation | CodeCode Available | 1 | 5 |
| 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 |
