| The Rise of Diffusion Models in Time-Series Forecasting | Jan 5, 2024 | Time SeriesTime Series Analysis | CodeCode Available | 3 | 5 |
| Meta-Transformer: A Unified Framework for Multimodal Learning | Jul 20, 2023 | Time Series | CodeCode Available | 3 | 5 |
| MixLinear: Extreme Low Resource Multivariate Time Series Forecasting with 0.1K Parameters | Oct 2, 2024 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 3 | 5 |
| Intervention-Aware Forecasting: Breaking Historical Limits from a System Perspective | May 22, 2024 | Data IntegrationSensitivity | CodeCode Available | 3 | 5 |
| MMFNet: Multi-Scale Frequency Masking Neural Network for Multivariate Time Series Forecasting | Oct 2, 2024 | Multivariate Time Series ForecastingMultivariate Time Series Forecastingm | CodeCode Available | 3 | 5 |
| Bake off redux: a review and experimental evaluation of recent time series classification algorithms | Apr 25, 2023 | Dynamic Time WarpingTime Series | CodeCode Available | 3 | 5 |
| AutoTimes: Autoregressive Time Series Forecasters via Large Language Models | Feb 4, 2024 | DecoderIn-Context Learning | CodeCode Available | 3 | 5 |
| BatteryLife: A Comprehensive Dataset and Benchmark for Battery Life Prediction | Feb 26, 2025 | BenchmarkingTime Series | CodeCode Available | 3 | 5 |
| CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns | Sep 27, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 3 | 5 |
| ChatTS: Aligning Time Series with LLMs via Synthetic Data for Enhanced Understanding and Reasoning | Dec 4, 2024 | AttributeTime Series | CodeCode Available | 3 | 5 |
| Probabilistic Forecasting with Temporal Convolutional Neural Network | Jun 11, 2019 | Multivariate Time Series ForecastingProbabilistic Time Series Forecasting | CodeCode Available | 3 | 5 |
| Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting | Jun 29, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 3 | 5 |
| Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting | Jan 28, 2025 | SpecificityTime Series | CodeCode Available | 3 | 5 |
| Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting | Oct 12, 2023 | DecoderProbabilistic Time Series Forecasting | CodeCode Available | 3 | 5 |
| Sintel: A Machine Learning Framework to Extract Insights from Signals | Apr 19, 2022 | Anomaly DetectionBIG-bench Machine Learning | CodeCode Available | 3 | 5 |
| ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis | Jan 16, 2024 | Time SeriesTime Series Analysis | CodeCode Available | 3 | 5 |
| SST: Multi-Scale Hybrid Mamba-Transformer Experts for Long-Short Range Time Series Forecasting | Apr 23, 2024 | MambaTime Series | CodeCode Available | 3 | 5 |
| AER: Auto-Encoder with Regression for Time Series Anomaly Detection | Dec 27, 2022 | Anomaly DetectionBenchmarking | CodeCode Available | 3 | 5 |
| Diffusion-TS: Interpretable Diffusion for General Time Series Generation | Mar 4, 2024 | Audio SynthesisDecoder | CodeCode Available | 3 | 5 |
| "Hey, that's not an ODE": Faster ODE Adjoints via Seminorms | Sep 20, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 3 | 5 |
| Is Mamba Effective for Time Series Forecasting? | Mar 17, 2024 | Computational EfficiencyMamba | CodeCode Available | 3 | 5 |
| A Survey on Causal Discovery Methods for I.I.D. and Time Series Data | Mar 27, 2023 | Causal DiscoveryTime Series | CodeCode Available | 3 | 5 |
| Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series | Feb 16, 2022 | Anomaly DetectionDensity Estimation | CodeCode Available | 3 | 5 |
| GluonTS: Probabilistic Time Series Models in Python | Jun 12, 2019 | Anomaly DetectionTime Series | CodeCode Available | 3 | 5 |
| Greykite: Deploying Flexible Forecasting at Scale at LinkedIn | Jul 15, 2022 | Anomaly DetectionTime Series | CodeCode Available | 3 | 5 |
