| DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection | Jun 17, 2023 | Anomaly DetectionContrastive Learning | CodeCode Available | 2 |
| Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects | Jun 16, 2023 | Anomaly DetectionSelf-Supervised Learning | CodeCode Available | 2 |
| TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting | Jun 14, 2023 | Multivariate Time Series ForecastingRepresentation Learning | CodeCode Available | 2 |
| PyPOTS: A Python Toolbox for Data Mining on Partially-Observed Time Series | May 30, 2023 | Anomaly DetectionClassification | CodeCode Available | 2 |
| Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors | May 30, 2023 | Time Series | CodeCode Available | 2 |
| TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series | May 19, 2023 | DiversitySynthetic Data Generation | CodeCode Available | 2 |
| A Survey on Time-Series Pre-Trained Models | May 18, 2023 | SurveyTime Series | CodeCode Available | 2 |
| Model scale versus domain knowledge in statistical forecasting of chaotic systems | Mar 13, 2023 | Time SeriesTime Series Analysis | CodeCode Available | 2 |
| One Fits All:Power General Time Series Analysis by Pretrained LM | Feb 23, 2023 | Anomaly DetectionFew-Shot Learning | CodeCode Available | 2 |
| JANA: Jointly Amortized Neural Approximation of Complex Bayesian Models | Feb 17, 2023 | DiagnosticTime Series | CodeCode Available | 2 |
| MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing | Feb 9, 2023 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 2 |
| A Survey on Deep Learning based Time Series Analysis with Frequency Transformation | Feb 4, 2023 | Deep LearningTime Series | CodeCode Available | 2 |
| Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting | Feb 2, 2023 | DecoderMultivariate Time Series Forecasting | CodeCode Available | 2 |
| Salesforce CausalAI Library: A Fast and Scalable Framework for Causal Analysis of Time Series and Tabular Data | Jan 25, 2023 | Causal DiscoveryCausal Inference | CodeCode Available | 2 |
| Synthcity: facilitating innovative use cases of synthetic data in different data modalities | Jan 18, 2023 | FairnessIrregular Time Series | CodeCode Available | 2 |
| ViTs for SITS: Vision Transformers for Satellite Image Time Series | Jan 12, 2023 | Semantic SegmentationTime Series | CodeCode Available | 2 |
| Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement | Jan 8, 2023 | DenoisingDisentanglement | CodeCode Available | 2 |
| Towards Long-Term Time-Series Forecasting: Feature, Pattern, and Distribution | Jan 5, 2023 | DecoderTime Series | CodeCode Available | 2 |
| End-to-End Modeling Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow based Reconciliation | Dec 28, 2022 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 2 |
| SatlasPretrain: A Large-Scale Dataset for Remote Sensing Image Understanding | Nov 28, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 2 |
| Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models | Aug 19, 2022 | ImputationMissing Values | CodeCode Available | 2 |
| Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification | Aug 13, 2022 | Contrastive LearningData Augmentation | CodeCode Available | 2 |
| Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting | Aug 10, 2022 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 2 |
| Learning Deep Time-index Models for Time Series Forecasting | Jul 13, 2022 | Inductive BiasMeta-Learning | CodeCode Available | 2 |
| HierarchicalForecast: A Reference Framework for Hierarchical Forecasting in Python | Jul 7, 2022 | BIG-bench Machine LearningDecision Making | CodeCode Available | 2 |