| Forecasting Sequential Data using Consistent Koopman Autoencoders | Mar 4, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Discovering Mixtures of Structural Causal Models from Time Series Data | Oct 10, 2023 | Causal DiscoveryTime Series | CodeCode Available | 1 | 5 |
| Benchmarking Deep Learning Interpretability in Time Series Predictions | Oct 26, 2020 | BenchmarkingDeep Learning | CodeCode Available | 1 | 5 |
| Discrete Graph Structure Learning for Forecasting Multiple Time Series | Jan 18, 2021 | Graph structure learningTime Series | CodeCode Available | 1 | 5 |
| Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift | Apr 7, 2022 | Domain AdaptationTime Series | CodeCode Available | 1 | 5 |
| Multi-scale Restoration of Missing Data in Optical Time-series Images with Masked Spatial-Temporal Attention Network | Jun 19, 2024 | Cloud RemovalImputation | CodeCode Available | 1 | 5 |
| Multi-scale Transformer Pyramid Networks for Multivariate Time Series Forecasting | Aug 23, 2023 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 | 5 |
| Disentangled Interpretable Representation for Efficient Long-term Time Series Forecasting | Nov 26, 2024 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 | 5 |
| Forecasting with Deep Learning | Feb 17, 2023 | Deep LearningTime Series | CodeCode Available | 1 | 5 |
| Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA | Jun 17, 2021 | Dimensionality ReductionDisentanglement | CodeCode Available | 1 | 5 |
| Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting | Feb 18, 2025 | DisentanglementTime Series | CodeCode Available | 1 | 5 |
| Forecasting with time series imaging | Apr 17, 2019 | Model SelectionTime Series | CodeCode Available | 1 | 5 |
| From point forecasts to multivariate probabilistic forecasts: The Schaake shuffle for day-ahead electricity price forecasting | Apr 21, 2022 | Decision MakingPrediction Intervals | CodeCode Available | 1 | 5 |
| Aligning Time Series on Incomparable Spaces | Jun 22, 2020 | Dynamic Time WarpingImitation Learning | CodeCode Available | 1 | 5 |
| Multi-Time Attention Networks for Irregularly Sampled Time Series | Jan 25, 2021 | Deep LearningTime Series | CodeCode Available | 1 | 5 |
| Forecasting Foreign Exchange Rate: A Multivariate Comparative Analysis between Traditional Econometric, Contemporary Machine Learning & Deep Learning Techniques | Feb 19, 2020 | regressionTime Series | CodeCode Available | 1 | 5 |
| DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction | Aug 20, 2021 | Deep LearningTime Series | CodeCode Available | 1 | 5 |
| Multivariate Time-series Anomaly Detection via Graph Attention Network | Sep 4, 2020 | Anomaly DetectionGraph Attention | CodeCode Available | 1 | 5 |
| A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data | Oct 23, 2020 | Deep LearningImputation | CodeCode Available | 1 | 5 |
| Bearing Fault Diagnosis Base on Multi-scale CNN and LSTM Model | Jun 5, 2020 | ClassificationDiagnostic | CodeCode Available | 1 | 5 |
| Forecasting in Non-stationary Environments with Fuzzy Time Series | Apr 27, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Don't Pay Attention to the Noise: Learning Self-supervised Representations of Light Curves with a Denoising Time Series Transformer | Jul 6, 2022 | DenoisingTime Series | CodeCode Available | 1 | 5 |
| MultiWave: Multiresolution Deep Architectures through Wavelet Decomposition for Multivariate Time Series Prediction | Jun 16, 2023 | Activity RecognitionDeep Learning | CodeCode Available | 1 | 5 |
| Do We Really Need Deep Learning Models for Time Series Forecasting? | Jan 6, 2021 | Deep Learningregression | CodeCode Available | 1 | 5 |
| BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decomposition | Aug 28, 2023 | Computational EfficiencyGaussian Processes | CodeCode Available | 1 | 5 |
