| Conformal Prediction for Time Series with Modern Hopfield Networks | Mar 22, 2023 | Conformal PredictionPrediction | CodeCode Available | 1 |
| Time Series Contrastive Learning with Information-Aware Augmentations | Mar 21, 2023 | Contrastive LearningOpen-Ended Question Answering | CodeCode Available | 1 |
| Graph Neural Rough Differential Equations for Traffic Forecasting | Mar 20, 2023 | Time SeriesTraffic Prediction | CodeCode Available | 1 |
| Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths | Mar 19, 2023 | Dynamic Time WarpingInformation Retrieval | CodeCode Available | 1 |
| Discovering Predictable Latent Factors for Time Series Forecasting | Mar 18, 2023 | Time SeriesTime Series Forecasting | CodeCode Available | 1 |
| Effectively Modeling Time Series with Simple Discrete State Spaces | Mar 16, 2023 | State Space ModelsTime Series | CodeCode Available | 1 |
| Knowledge and topology: A two layer spatially dependent graph neural networks to identify urban functions with time-series street view image | Mar 16, 2023 | Graph Neural NetworkTime Series | CodeCode Available | 1 |
| The Tiny Time-series Transformer: Low-latency High-throughput Classification of Astronomical Transients using Deep Model Compression | Mar 15, 2023 | AstronomyModel Compression | CodeCode Available | 1 |
| Spacecraft Anomaly Detection with Attention Temporal Convolution Network | Mar 13, 2023 | Anomaly DetectionGraph Attention | CodeCode Available | 1 |
| TSMixer: An All-MLP Architecture for Time Series Forecasting | Mar 10, 2023 | AllDeep Learning | CodeCode Available | 1 |
| Vector Quantized Time Series Generation with a Bidirectional Prior Model | Mar 8, 2023 | Image GenerationQuantization | CodeCode Available | 1 |
| Synthetic ECG Signal Generation using Probabilistic Diffusion Models | Mar 4, 2023 | DenoisingTime Series | CodeCode Available | 1 |
| Time Series as Images: Vision Transformer for Irregularly Sampled Time Series | Mar 1, 2023 | image-classificationImage Classification | CodeCode Available | 1 |
| TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders | Mar 1, 2023 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| A Synthetic Texas Power System with Time-Series Weather-Dependent Spatiotemporal Profiles | Feb 26, 2023 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation -- Extended Version | Feb 24, 2023 | ClassificationDecision Making | CodeCode Available | 1 |
| Forecasting Workload in Cloud Computing: Towards Uncertainty-Aware Predictions and Transfer Learning | Feb 24, 2023 | Cloud ComputingDecision Making | CodeCode Available | 1 |
| Set Features for Fine-grained Anomaly Detection | Feb 23, 2023 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| LightCTS: A Lightweight Framework for Correlated Time Series Forecasting | Feb 23, 2023 | Computational EfficiencyCorrelated Time Series Forecasting | CodeCode Available | 1 |
| Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting | Feb 22, 2023 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Spatio-Temporal Momentum: Jointly Learning Time-Series and Cross-Sectional Strategies | Feb 20, 2023 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Exploring the Advantages of Transformers for High-Frequency Trading | Feb 20, 2023 | DecoderPosition | CodeCode Available | 1 |
| FrAug: Frequency Domain Augmentation for Time Series Forecasting | Feb 18, 2023 | Anomaly DetectionData Augmentation | CodeCode Available | 1 |
| DTAAD: Dual Tcn-Attention Networks for Anomaly Detection in Multivariate Time Series Data | Feb 17, 2023 | Anomaly DetectionDiagnostic | CodeCode Available | 1 |
| Forecasting with Deep Learning | Feb 17, 2023 | Deep LearningTime Series | CodeCode Available | 1 |
