| Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting | Oct 12, 2023 | DecoderProbabilistic Time Series Forecasting | CodeCode Available | 3 |
| Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting | Jan 28, 2025 | SpecificityTime Series | CodeCode Available | 3 |
| Is Mamba Effective for Time Series Forecasting? | Mar 17, 2024 | Computational EfficiencyMamba | CodeCode Available | 3 |
| SST: Multi-Scale Hybrid Mamba-Transformer Experts for Long-Short Range Time Series Forecasting | Apr 23, 2024 | MambaTime Series | CodeCode Available | 3 |
| A Survey on Causal Discovery Methods for I.I.D. and Time Series Data | Mar 27, 2023 | Causal DiscoveryTime Series | CodeCode Available | 3 |
| "Hey, that's not an ODE": Faster ODE Adjoints via Seminorms | Sep 20, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 3 |
| Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series | Feb 16, 2022 | Anomaly DetectionDensity Estimation | CodeCode Available | 3 |
| GluonTS: Probabilistic Time Series Models in Python | Jun 12, 2019 | Anomaly DetectionTime Series | CodeCode Available | 3 |
| Greykite: Deploying Flexible Forecasting at Scale at LinkedIn | Jul 15, 2022 | Anomaly DetectionTime Series | CodeCode Available | 3 |
| OLinear: A Linear Model for Time Series Forecasting in Orthogonally Transformed Domain | May 12, 2025 | Multivariate Time Series ForecastingRepresentation Learning | CodeCode Available | 3 |
