| Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks | Mar 21, 2017 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 | 5 |
| Multi-horizon short-term load forecasting using hybrid of LSTM and modified split convolution | Aug 15, 2023 | Data AblationLoad Forecasting | CodeCode Available | 1 | 5 |
| Temporal Saliency Detection Towards Explainable Transformer-based Timeseries Forecasting | Dec 15, 2022 | DecoderSaliency Detection | CodeCode Available | 1 | 5 |
| Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting | May 5, 2023 | Meta-LearningTime Series | CodeCode Available | 1 | 5 |
| SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction | Jun 17, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| AA-Forecast: Anomaly-Aware Forecast for Extreme Events | Aug 21, 2022 | Anomaly ForecastingMultivariate Time Series Forecasting | CodeCode Available | 1 | 5 |
| Forecasting with Deep Learning: Beyond Average of Average of Average Performance | Jun 24, 2024 | Time Series ForecastingUnivariate Time Series Forecasting | CodeCode Available | 0 | 5 |
| GenTL: A General Transfer Learning Model for Building Thermal Dynamics | Jan 23, 2025 | Deep LearningTransfer Learning | CodeCode Available | 0 | 5 |
| Feature-aligned N-BEATS with Sinkhorn divergence | May 24, 2023 | Domain GeneralizationRepresentation Learning | CodeCode Available | 0 | 5 |
| TSFeatLIME: An Online User Study in Enhancing Explainability in Univariate Time Series Forecasting | Sep 24, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 0 | 5 |
