| Diffusion Transformers for Tabular Data Time Series Generation | Apr 10, 2025 | Tabular Data GenerationTime Series | CodeCode Available | 1 |
| Dimensionality reduction to maximize prediction generalization capability | Mar 1, 2020 | Dimensionality ReductionPrediction | CodeCode Available | 1 |
| Discovering Communication Pattern Shifts in Large-Scale Labeled Networks using Encoder Embedding and Vertex Dynamics | May 3, 2023 | Time Series | CodeCode Available | 1 |
| Discovering Nonlinear Relations with Minimum Predictive Information Regularization | Jan 7, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Discovering Predictable Latent Factors for Time Series Forecasting | Mar 18, 2023 | Time SeriesTime Series Forecasting | CodeCode Available | 1 |
| AGNet: Weighing Black Holes with Machine Learning | Nov 30, 2020 | BIG-bench Machine LearningTime Series | CodeCode Available | 1 |
| AGNet: Weighing Black Holes with Deep Learning | Aug 17, 2021 | Deep LearningTime Series | CodeCode Available | 1 |
| DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction | Aug 20, 2021 | Deep LearningTime Series | CodeCode Available | 1 |
| Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift | Apr 7, 2022 | Domain AdaptationTime Series | CodeCode Available | 1 |
| A Large-Scale Annotated Multivariate Time Series Aviation Maintenance Dataset from the NGAFID | Oct 13, 2022 | ManagementTime Series | CodeCode Available | 1 |
| Do We Really Need Deep Learning Models for Time Series Forecasting? | Jan 6, 2021 | Deep Learningregression | CodeCode Available | 1 |
| CUTS+: High-dimensional Causal Discovery from Irregular Time-series | May 10, 2023 | Causal DiscoveryDecision Making | CodeCode Available | 1 |
| DTAAD: Dual Tcn-Attention Networks for Anomaly Detection in Multivariate Time Series Data | Feb 17, 2023 | Anomaly DetectionDiagnostic | CodeCode Available | 1 |
| DuETT: Dual Event Time Transformer for Electronic Health Records | Apr 25, 2023 | Time Series | CodeCode Available | 1 |
| Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting | Aug 5, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Dynamic Data Augmentation with Gating Networks for Time Series Recognition | Nov 5, 2021 | Data AugmentationTime Series | CodeCode Available | 1 |
| Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series | Mar 3, 2021 | ClusteringTime Series | CodeCode Available | 1 |
| Dynamic Sparse Network for Time Series Classification: Learning What to "see'' | Dec 19, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Aligning Time Series on Incomparable Spaces | Jun 22, 2020 | Dynamic Time WarpingImitation Learning | CodeCode Available | 1 |
| Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress | Sep 29, 2020 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| E2USD: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series | Feb 21, 2024 | Contrastive LearningTime Series | CodeCode Available | 1 |
| CUTS: Neural Causal Discovery from Irregular Time-Series Data | Feb 15, 2023 | Causal DiscoveryGraph Neural Network | CodeCode Available | 1 |
| D3A-TS: Denoising-Driven Data Augmentation in Time Series | Dec 9, 2023 | Data AugmentationDenoising | CodeCode Available | 1 |
| Decomposing non-stationary signals with time-varying wave-shape functions | Oct 14, 2020 | Computational Efficiencyregression | CodeCode Available | 1 |
| DeformTime: Capturing Variable Dependencies with Deformable Attention for Time Series Forecasting | Jun 11, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 1 |
