A time-frequency uncertainty bound can tell when a model's time-domain and frequency-domain attributions point to different features, making multi-domain explanations necessary.
Learning important features through propagating activation differences,
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On the Necessity of Multi-Domain Explanation: An Uncertainty Principle Approach for Deep Time Series Models
A time-frequency uncertainty bound can tell when a model's time-domain and frequency-domain attributions point to different features, making multi-domain explanations necessary.