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A Hilbert-Valued Functional Decomposition Framework for Explaining Time-Dependent Outputs

Langbein, Sophie Hanna et al.
arXiv (OAI Expanded) · Papers
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machine-learning
Feature-based explanations quantify features' influence on model predictions, but are primarily designed for scalar outputs. In many applications, however, outputs are functional or multivariate, such as time-dependent trajectories in demand forecasting. Consequently, existing approaches typically e
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