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PACE: A Neuro-Symbolic Framework for Plausible and Actionable Counterfactual Explanations

Iakovets, Pavel et al.
arXiv (OAI Expanded) · Papers
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Counterfactual explanations explain machine learning predictions by identifying minimal input changes that would alter a model's decision. Although many existing methods successfully generate prediction-changing alternatives, they often produce unrealistic or infeasible recommendations due to a lack
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