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Explainable Ai

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Explainable Ai

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Research Frontiers in Shapley Value Based Attribution

Game-theoretic approaches using Shapley values to fairly distribute feature importance across model inputs.

Shapley Values in Non-Euclidean Feature Spaces
Dynamic Attribution in Temporal Neural Networks
Coalitional Games and Adversarial Robustness Interpretation
Multi-Agent Shapley Allocation in Ensemble Models
Causal Shapley: Bridging Counterfactuals and Attribution
Computational Efficiency in High-Dimensional Shapley Estimation
Fairness-Aware Feature Attribution in Decision Systems
Shapley Values Across Model Uncertainty and Epistemic Bounds
Interactive Attribution: Human-in-the-Loop Shapley Explanations
Shapley-Based Mechanistic Interpretation of Foundation Models

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