Farzaneh Heidari
1 indexed paper
Recent (6 mo)
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126
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ML×1AI×1
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2026
TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions
The paper introduces TN-SHAP-G, a novel framework that uses graph-structured tensor networks to efficiently approximate and compute Shapley values and interaction indices for black-box models, overcoming the exponential complexity barrier.
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