GFGE: Unifying Explainable AI Methods through an Interpretation Framework
cs.AI
Submitted: 2026-10-04
Updated: 2026-10-04
Sources
- Towards A Rigorous Science of Interpretable Machine Learning
- Distilling a Neural Network Into a Soft Decision Tree
- Explaining Explanations: An Overview of Interpretability of Machine Learning
- Metrics for Explainable AI: Challenges and Prospects
- Consistent Individualized Feature Attribution for Tree Ensembles
- Generating Counterfactual and Contrastive Explanations using SHAP
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