Knowledge Regularization / EN Notes

Informed Machine Learning with Knowledge Landmarks

This note follows how input-output landmark pairs and conditional fuzzy clustering become a knowledge-aware regularizer, with attention to local guidance, counterfactual meaning, and failure modes.