Predictive Surprise as Self-Grounding Concept Bottleneck for Interpretable Time Series
Read the original at arxiv.org→arXiv:2611.12955v1 Announce Type: new Abstract: Time-series classifiers deployed in risk-sensitive domains must be (1) accurate, (2) interpretable, and (3) able to abstain when evidence is weak. Existing methods do...
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- Nov 11, 05:00 UTC arXiv cs.LG lead source Predictive Surprise as Self-Grounding Concept Bottleneck for Interpretable Time Series