| Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting | Jul 6, 2020 | Graph GenerationGraph Neural Network | CodeCode Available | 1 | 5 |
| Benchmarking Deep Learning Interpretability in Time Series Predictions | Oct 26, 2020 | BenchmarkingDeep Learning | CodeCode Available | 1 | 5 |
| Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift | Apr 7, 2022 | Domain AdaptationTime Series | CodeCode Available | 1 | 5 |
| Efficient implementations of echo state network cross-validation | Jun 19, 2020 | One-Shot LearningTime 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 |
| Dynamical Wasserstein Barycenters for Time-series Modeling | Oct 13, 2021 | State EstimationTime Series | CodeCode Available | 1 | 5 |
| Benchmarks and Custom Package for Energy Forecasting | Jul 14, 2023 | Feature EngineeringLoad Forecasting | CodeCode Available | 1 | 5 |
| Benchmark time series data sets for PyTorch -- the torchtime package | Jul 25, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting | Feb 11, 2025 | Time Series | CodeCode Available | 1 | 5 |
| Correlation-aware Unsupervised Change-point Detection via Graph Neural Networks | Apr 24, 2020 | Change Point DetectionDecoder | CodeCode Available | 1 | 5 |
