| Probabilistic Forecasting of Sensory Data with Generative Adversarial Networks - ForGAN | Mar 29, 2019 | Generative Adversarial NetworkProbabilistic Time Series Forecasting | CodeCode Available | 0 |
| Lag Selection for Univariate Time Series Forecasting using Deep Learning: An Empirical Study | May 18, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 0 |
| A New Deep Learning Architecture withInductive Bias Balance for Transformer Oil Temperature Forecasting | May 28, 2023 | Inductive BiasTime Series | CodeCode Available | 0 |
| Forecasting Across Time Series Databases using Recurrent Neural Networks on Groups of Similar Series: A Clustering Approach | Oct 9, 2017 | BenchmarkingClustering | CodeCode Available | 0 |
| Forecasting with Deep Learning: Beyond Average of Average of Average Performance | Jun 24, 2024 | Time Series ForecastingUnivariate Time Series Forecasting | CodeCode Available | 0 |
| Meta-learning and Data Augmentation for Stress Testing Forecasting Models | Jun 24, 2024 | Data AugmentationMeta-Learning | CodeCode Available | 0 |
| A Review of the Long Horizon Forecasting Problem in Time Series Analysis | Jun 15, 2025 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 0 |
| GenTL: A General Transfer Learning Model for Building Thermal Dynamics | Jan 23, 2025 | Deep LearningTransfer Learning | CodeCode Available | 0 |
| Feature-aligned N-BEATS with Sinkhorn divergence | May 24, 2023 | Domain GeneralizationRepresentation Learning | CodeCode Available | 0 |
| TSFeatLIME: An Online User Study in Enhancing Explainability in Univariate Time Series Forecasting | Sep 24, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 0 |
| Temporal Pattern Attention for Multivariate Time Series Forecasting | Sep 12, 2018 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 0 |
