| TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis | Feb 26, 2024 | Anomaly DetectionImputation | CodeCode Available | 3 |
| FNSPID: A Comprehensive Financial News Dataset in Time Series | Feb 9, 2024 | Financial AnalysisTime Series | CodeCode Available | 3 |
| Deep Learning for Multivariate Time Series Imputation: A Survey | Feb 6, 2024 | Deep LearningImputation | CodeCode Available | 3 |
| Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting | Feb 4, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 3 |
| AutoTimes: Autoregressive Time Series Forecasters via Large Language Models | Feb 4, 2024 | DecoderIn-Context Learning | CodeCode Available | 3 |
| ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis | Jan 16, 2024 | Time SeriesTime Series Analysis | CodeCode Available | 3 |
| Universal Time-Series Representation Learning: A Survey | Jan 8, 2024 | Feature EngineeringRepresentation Learning | CodeCode Available | 3 |
| The Rise of Diffusion Models in Time-Series Forecasting | Jan 5, 2024 | Time SeriesTime Series Analysis | CodeCode Available | 3 |
| UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition | Nov 27, 2023 | Image ClassificationObject Detection | CodeCode Available | 3 |
| Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting | Oct 12, 2023 | DecoderProbabilistic Time Series Forecasting | CodeCode Available | 3 |
| Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis | Oct 9, 2023 | BenchmarkingMultivariate Time Series Forecasting | CodeCode Available | 3 |
| Meta-Transformer: A Unified Framework for Multimodal Learning | Jul 20, 2023 | Time Series | CodeCode Available | 3 |
| Bake off redux: a review and experimental evaluation of recent time series classification algorithms | Apr 25, 2023 | Dynamic Time WarpingTime 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 |
| AER: Auto-Encoder with Regression for Time Series Anomaly Detection | Dec 27, 2022 | Anomaly DetectionBenchmarking | CodeCode Available | 3 |
| Greykite: Deploying Flexible Forecasting at Scale at LinkedIn | Jul 15, 2022 | Anomaly DetectionTime Series | CodeCode Available | 3 |
| Plotly-Resampler: Effective Visual Analytics for Large Time Series | Jun 17, 2022 | Data VisualizationTime Series | CodeCode Available | 3 |
| Time-series Transformer Generative Adversarial Networks | May 23, 2022 | Question AnsweringTime Series | CodeCode Available | 3 |
| Sintel: A Machine Learning Framework to Extract Insights from Signals | Apr 19, 2022 | Anomaly DetectionBIG-bench Machine Learning | CodeCode Available | 3 |
| Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series | Feb 16, 2022 | Anomaly DetectionDensity Estimation | CodeCode Available | 3 |
| "Hey, that's not an ODE": Faster ODE Adjoints via Seminorms | Sep 20, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 3 |
| Applications of Deep Neural Networks with Keras | Sep 11, 2020 | Deep LearningTime Series | CodeCode Available | 3 |
| Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting | Dec 19, 2019 | Interpretable Machine LearningTime Series | CodeCode Available | 3 |
| ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels | Oct 29, 2019 | General ClassificationTime Series | CodeCode Available | 3 |
| GluonTS: Probabilistic Time Series Models in Python | Jun 12, 2019 | Anomaly DetectionTime Series | CodeCode Available | 3 |
