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

This story is from 2026-09-11. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.11295v1 Announce Type: new Abstract: 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 forecasti…

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  1. 2026-09-11 04:00 · arXiv stat.ML
    A Hilbert-Valued Functional Decomposition Framework for Explaining Time-Dependent Outputs

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