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Unifying Perspectives: Plausible Counterfactual Explanations on Global, Group-wise, and Local Levels
By offering a cohesive solution to the optimization and plausibility challenges in GCEs, our work significantly advances the interpretability and accountability of AI models, marking a step forward in the pursuit of transparent AI.
Probabilistically Plausible Counterfactual Explanations with Normalizing Flows
PPCEF advances beyond existing methods by combining a probabilistic formulation that leverages the data distribution with the optimization of plausibility within a unified framework.
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