| Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms | Jul 19, 2022 | Adversarial AttackMultivariate Time Series Forecasting | CodeCode Available | 5 | 5 |
| TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods | Mar 29, 2024 | BenchmarkingMultivariate Time Series Forecasting | CodeCode Available | 5 | 5 |
| N-BEATS: Neural basis expansion analysis for interpretable time series forecasting | May 24, 2019 | Time SeriesTime Series Analysis | CodeCode Available | 3 | 5 |
| Greykite: Deploying Flexible Forecasting at Scale at LinkedIn | Jul 15, 2022 | Anomaly DetectionTime Series | CodeCode Available | 3 | 5 |
| Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks | May 24, 2020 | Graph LearningGraph Neural Network | CodeCode Available | 1 | 5 |
| AA-Forecast: Anomaly-Aware Forecast for Extreme Events | Aug 21, 2022 | Anomaly ForecastingMultivariate Time Series Forecasting | 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 |
| AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting | Feb 14, 2025 | Multivariate Time Series ForecastingRepresentation Learning | CodeCode Available | 1 | 5 |
| LightCTS: A Lightweight Framework for Correlated Time Series Forecasting | Feb 23, 2023 | Computational EfficiencyCorrelated Time Series Forecasting | CodeCode Available | 1 | 5 |
| A Novel Deep Learning Model for Hotel Demand and Revenue Prediction amid COVID-19 | Mar 8, 2022 | Correlated Time Series ForecastingCOVID-19 Modelling | CodeCode Available | 1 | 5 |
