spatiotemporal dynamics
Refers to the analysis of data or systems that vary across both space and time, capturing influences and interactions that are observable through both dimensions. This is particularly important in fields like climate modeling, social dynamics, and robotics.
- Aeolus: A Multi-structural Flight Delay Dataset
- DAWP: A framework for global observation forecasting via Data Assimilation and Weather Prediction in satellite observation space
- Eulerian Neural Network Informed by Chemical Transport for Air Quality Forecasting
- Let Brain Rhythm Shape Machine Intelligence for Connecting Dots on Graphs
- Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection
- Sparse Diffusion Autoencoder for Test-time Adapting Prediction of Complex Systems