| Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA | Jun 17, 2021 | Dimensionality ReductionDisentanglement | CodeCode Available | 1 | 5 |
| From point forecasts to multivariate probabilistic forecasts: The Schaake shuffle for day-ahead electricity price forecasting | Apr 21, 2022 | Decision MakingPrediction Intervals | CodeCode Available | 1 | 5 |
| DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction | Aug 20, 2021 | Deep LearningTime Series | CodeCode Available | 1 | 5 |
| 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 | 5 |
| FTMixer: Frequency and Time Domain Representations Fusion for Time Series Modeling | May 24, 2024 | Computational EfficiencyTime Series | CodeCode Available | 1 | 5 |
| Compatible Transformer for Irregularly Sampled Multivariate Time Series | Oct 17, 2023 | Time Series | CodeCode Available | 1 | 5 |
| Fully Spiking Variational Autoencoder | Sep 26, 2021 | Image GenerationTime Series | CodeCode Available | 1 | 5 |
| FUSU: A Multi-temporal-source Land Use Change Segmentation Dataset for Fine-grained Urban Semantic Understanding | May 29, 2024 | Change DetectionSegmentation | CodeCode Available | 1 | 5 |
| A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis | Oct 18, 2023 | Anomaly DetectionImputation | CodeCode Available | 1 | 5 |
| Gated Transformer Networks for Multivariate Time Series Classification | Mar 26, 2021 | ClassificationGeneral Classification | CodeCode Available | 1 | 5 |
| Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributions from Data | Sep 12, 2020 | DenoisingDiversity | CodeCode Available | 1 | 5 |
| A Generalised Signature Method for Multivariate Time Series Feature Extraction | Jun 1, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Backdoor Attacks on Time Series: A Generative Approach | Nov 15, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Time series forecasting with Gaussian Processes needs priors | Sep 17, 2020 | Gaussian ProcessesTime Series | CodeCode Available | 1 | 5 |
| A general framework for multi-step ahead adaptive conformal heteroscedastic time series forecasting | Jul 28, 2022 | Conformal PredictionDecision Making | CodeCode Available | 1 | 5 |
| Autoregressive Moving-average Attention Mechanism for Time Series Forecasting | Oct 4, 2024 | DecoderTime Series | CodeCode Available | 1 | 5 |
| Disentangled Sticky Hierarchical Dirichlet Process Hidden Markov Model | Apr 6, 2020 | modelTime Series | CodeCode Available | 1 | 5 |
| Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift | Apr 7, 2022 | Domain AdaptationTime Series | CodeCode Available | 1 | 5 |
| Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting | Aug 5, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Automatically identifying ordinary differential equations from data | Apr 21, 2023 | Denoisingregression | CodeCode Available | 1 | 5 |
| Automated Evolutionary Approach for the Design of Composite Machine Learning Pipelines | Jun 26, 2021 | BIG-bench Machine LearningManagement | CodeCode Available | 1 | 5 |
| Discovering Nonlinear Relations with Minimum Predictive Information Regularization | Jan 7, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Discovering Communication Pattern Shifts in Large-Scale Labeled Networks using Encoder Embedding and Vertex Dynamics | May 3, 2023 | Time Series | CodeCode Available | 1 | 5 |
| Discovering Mixtures of Structural Causal Models from Time Series Data | Oct 10, 2023 | Causal DiscoveryTime Series | CodeCode Available | 1 | 5 |
| Discovering Predictable Latent Factors for Time Series Forecasting | Mar 18, 2023 | Time SeriesTime Series Forecasting | CodeCode Available | 1 | 5 |
