Context-Aware Concept Distillation for Trustworthy Flood Prediction
Context-Aware Concept Distillation (CACD) is proposed, a framework developed in collaboration with domain experts to distill opaque LSTMs into interpretable, hydrology-aware surrogate models and a Residual Hypernetwork that dynamically modulates these concepts based on static basin characteristics.