Latest
- Time-delayed Multivariate Time Series Predictions
- Physics-Informed Long-Sequence Forecasting From Multi-Resolution Spatiotemporal Data
- Mu2ReST: Multi-resolution Recursive Spatio-Temporal Transformer for Long-Term Prediction
- When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning
- PolSIRD: Modeling Epidemic Spread Under Intervention Policies: Analyzing the First Wave of COVID-19 in the USA
- Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling
- MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV Dataset
- Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning
- Structure-informed Graph Auto-encoder for RelationalInference and Simulation
- Benchmark of Deep Learning Models on Large Healthcare MIMIC Datasets