data assimilation
The process of integrating data from different sources into a consistent framework to improve the accuracy of AI models, often used in real-time decision-making applications.
- Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences
- Causal Climate Emulation with Bayesian Filtering
- FlowDAS: A Stochastic Interpolant-based Framework for Data Assimilation
- LoRA-EnVar: Parameter-Efficient Hybrid Ensemble Variational Assimilation for Weather Forecasting
- Physics-informed Reduced Order Modeling of Time-dependent PDEs via Differentiable Solvers