OperatorSHAP trains FastSHAP-style explainers for neural operators via a function-space attribution framework that remains consistent across grid resolutions without retraining.
A new baseline assumption of integated gradients based on shaply value
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.LG 2years
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UNVERDICTED 2representative citing papers
FRInGe enhances Integrated Gradients by integrating gradients along Fisher-Rao geodesics in predictive distribution space using a max-entropy reference, improving calibration metrics on ImageNet models.
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OperatorSHAP: Fast and Accurate Shapley Value Estimation for Neural Operators
OperatorSHAP trains FastSHAP-style explainers for neural operators via a function-space attribution framework that remains consistent across grid resolutions without retraining.
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FRInGe: Distribution-Space Integrated Gradients with Fisher--Rao Geometry
FRInGe enhances Integrated Gradients by integrating gradients along Fisher-Rao geodesics in predictive distribution space using a max-entropy reference, improving calibration metrics on ImageNet models.