Diego García

CausalCACTUS: A Causally Consistent and Context-Aware Framework for Counterfactual Explanations

Counterfactual explanations have been proposed to provide actionable insights for complex black-box classifiers by suggesting “what-if” explanations that alter undesirable prediction outcomes to desired ones. Recent advances have emphasized desirable properties such as causality, plausibility, and contextual alignment;...