| Automatic Posterior Transformation for Likelihood-Free Inference | May 17, 2019 | Bayesian InferenceTime Series | CodeCode Available | 1 |
| Explainable Deep Convolutional Candlestick Learner | Jan 8, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns To Attend To Important Variables As Well As Informative Time Intervals | Nov 23, 2020 | Explainable ModelsGeneral Classification | CodeCode Available | 1 |
| Explaining Time Series via Contrastive and Locally Sparse Perturbations | Jan 16, 2024 | Contrastive Learningcounterfactual | CodeCode Available | 1 |
| Conformal Prediction for Time Series with Modern Hopfield Networks | Mar 22, 2023 | Conformal PredictionPrediction | CodeCode Available | 1 |
| Exploring the Advantages of Transformers for High-Frequency Trading | Feb 20, 2023 | DecoderPosition | CodeCode Available | 1 |
| Expressing Multivariate Time Series as Graphs with Time Series Attention Transformer | Aug 19, 2022 | Multivariate Time Series ForecastingRepresentation Learning | CodeCode Available | 1 |
| Reliable Generation of Privacy-preserving Synthetic Electronic Health Record Time Series via Diffusion Models | Oct 23, 2023 | De-identificationDenoising | CodeCode Available | 1 |
| FastDTW is approximate and Generally Slower than the Algorithm it Approximates | Mar 25, 2020 | Anomaly DetectionClustering | CodeCode Available | 1 |
| FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation | May 25, 2022 | Graph Neural NetworkTime Series | CodeCode Available | 1 |
| FCDNet: Frequency-Guided Complementary Dependency Modeling for Multivariate Time-Series Forecasting | Dec 27, 2023 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 |
| An efficient aggregation method for the symbolic representation of temporal data | Jan 14, 2022 | Dimensionality ReductionInformation Retrieval | CodeCode Available | 1 |
| Bayesian Neural Architecture Search using A Training-Free Performance Metric | Jan 29, 2020 | Bayesian OptimizationNeural Architecture Search | CodeCode Available | 1 |
| Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks | May 24, 2020 | Graph LearningGraph Neural Network | CodeCode Available | 1 |
| Feature Programming for Multivariate Time Series Prediction | Jun 9, 2023 | Automated Feature EngineeringFeature Engineering | CodeCode Available | 1 |
| Conditional GAN for timeseries generation | Jun 30, 2020 | Generative Adversarial NetworkTime Series | CodeCode Available | 1 |
| Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection | Jun 15, 2021 | Anomaly DetectionFederated Learning | CodeCode Available | 1 |
| Autoregressive Moving-average Attention Mechanism for Time Series Forecasting | Oct 4, 2024 | DecoderTime Series | CodeCode Available | 1 |
| Conditional Sig-Wasserstein GANs for Time Series Generation | Jun 9, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Compatible deep neural network framework with financial time series data, including data preprocessor, neural network model and trading strategy | May 11, 2022 | Binary ClassificationFeature Engineering | CodeCode Available | 1 |
| CODiT: Conformal Out-of-Distribution Detection in Time-Series Data | Jul 24, 2022 | Anomaly DetectionAutonomous Driving | CodeCode Available | 1 |
| auto-sktime: Automated Time Series Forecasting | Dec 13, 2023 | AutoMLBayesian Optimization | CodeCode Available | 1 |
| Compatible Transformer for Irregularly Sampled Multivariate Time Series | Oct 17, 2023 | Time Series | CodeCode Available | 1 |
| CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting | Jun 4, 2024 | Dataset CondensationTime Series | CodeCode Available | 1 |
| Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting | Mar 8, 2024 | Time Series | CodeCode Available | 1 |
