| GBT: Two-stage transformer framework for non-stationary time series forecasting | Jul 17, 2023 | Decoderregression | CodeCode Available | 1 |
| Benchmarks and Custom Package for Energy Forecasting | Jul 14, 2023 | Feature EngineeringLoad Forecasting | CodeCode Available | 1 |
| Source-Free Domain Adaptation with Temporal Imputation for Time Series Data | Jul 14, 2023 | Domain AdaptationImputation | CodeCode Available | 1 |
| Sequential Monte Carlo Learning for Time Series Structure Discovery | Jul 13, 2023 | Time Series | CodeCode Available | 1 |
| Badgers: generating data quality deficits with Python | Jul 10, 2023 | Time Series | CodeCode Available | 1 |
| DyEdgeGAT: Dynamic Edge via Graph Attention for Early Fault Detection in IIoT Systems | Jul 7, 2023 | Anomaly DetectionFault Detection | CodeCode Available | 1 |
| Sparse learned kernels for interpretable and efficient medical time series processing | Jul 6, 2023 | Artifact DetectionAtrial Fibrillation Detection | CodeCode Available | 1 |
| SageFormer: Series-Aware Framework for Long-term Multivariate Time Series Forecasting | Jul 4, 2023 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 |
| ECG-Image-Kit: A Synthetic Image Generation Toolbox to Facilitate Deep Learning-Based Electrocardiogram Digitization | Jul 4, 2023 | Data AugmentationDecision Making | CodeCode Available | 1 |
| Unlocking the Potential of Deep Learning in Peak-Hour Series Forecasting | Jul 4, 2023 | DecoderTime Series | CodeCode Available | 1 |
| ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection | Jul 3, 2023 | Anomaly DetectionImputation | CodeCode Available | 1 |
| Sparsity exploitation via discovering graphical models in multi-variate time-series forecasting | Jun 29, 2023 | Time SeriesTime Series Forecasting | CodeCode Available | 1 |
| Precursor-of-Anomaly Detection for Irregular Time Series | Jun 27, 2023 | Anomaly DetectionIrregular Time Series | CodeCode Available | 1 |
| PrimeNet: Pre-Training for Irregular Multivariate Time Series | Jun 26, 2023 | Contrastive LearningIrregular Time Series | CodeCode Available | 1 |
| FDNet: Focal Decomposed Network for Efficient, Robust and Practical Time Series Forecasting | Jun 19, 2023 | Inductive BiasTime Series | CodeCode Available | 1 |
| MultiWave: Multiresolution Deep Architectures through Wavelet Decomposition for Multivariate Time Series Prediction | Jun 16, 2023 | Activity RecognitionDeep Learning | CodeCode Available | 1 |
| Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time Series | Jun 14, 2023 | Irregular Time SeriesRepresentation Learning | CodeCode Available | 1 |
| The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks | Jun 14, 2023 | 16kClassification | CodeCode Available | 1 |
| Correlated Time Series Self-Supervised Representation Learning via Spatiotemporal Bootstrapping | Jun 12, 2023 | Correlated Time Series ForecastingRepresentation Learning | CodeCode Available | 1 |
| Predictive Modeling of Menstrual Cycle Length: A Time Series Forecasting Approach | Jun 11, 2023 | regressionTime Series | CodeCode Available | 1 |
| TS-MoCo: Time-Series Momentum Contrast for Self-Supervised Physiological Representation Learning | Jun 10, 2023 | Activity RecognitionClassification | CodeCode Available | 1 |
| Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations | Jun 9, 2023 | ImputationMeta-Learning | CodeCode Available | 1 |
| Feature Programming for Multivariate Time Series Prediction | Jun 9, 2023 | Automated Feature EngineeringFeature Engineering | CodeCode Available | 1 |
| Long term 5G network traffic forecasting via modeling non-stationarity with deep learning | Jun 6, 2023 | Time SeriesTime Series Forecasting | CodeCode Available | 1 |
| Time Interpret: a Unified Model Interpretability Library for Time Series | Jun 5, 2023 | Time Series | CodeCode Available | 1 |
