| Foundation Models Knowledge Distillation For Battery Capacity Degradation Forecast | May 13, 2025 | Knowledge DistillationTime Series | CodeCode Available | 1 | 5 |
| Preformer: Predictive Transformer with Multi-Scale Segment-wise Correlations for Long-Term Time Series Forecasting | Feb 23, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-Step-Ahead Time-Series Forecasting | Feb 11, 2020 | Deep LearningTime Series | CodeCode Available | 1 | 5 |
| Price graphs: Utilizing the structural information of financial time series for stock prediction | Jun 4, 2021 | Stock PredictionTime Series | CodeCode Available | 1 | 5 |
| Adjusting for Autocorrelated Errors in Neural Networks for Time Series | Jan 28, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Enhancing Time Series Forecasting via Multi-Level Text Alignment with LLMs | Apr 10, 2025 | Multimodal Large Language ModelTime Series | CodeCode Available | 1 | 5 |
| ForecastPFN: Synthetically-Trained Zero-Shot Forecasting | Nov 3, 2023 | Bayesian InferenceTime Series | CodeCode Available | 1 | 5 |
| Probabilistic Numeric Convolutional Neural Networks | Oct 21, 2020 | Gaussian ProcessesMissing Values | CodeCode Available | 1 | 5 |
| Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity | Oct 14, 2020 | DiversityPoint Processes | CodeCode Available | 1 | 5 |
| BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decomposition | Aug 28, 2023 | Computational EfficiencyGaussian Processes | CodeCode Available | 1 | 5 |
