Paper

What went wrong and when? Instance-wise Feature Importance for Time-series Models

Explanations of time series models are useful for high stakes applications like healthcare but have received little attention in machine learning literature. We propose FIT, a framework that evaluates the importance of observations for a multivariate time-series black-box model, by quantifying the shift in the predictive distribution over time... (read more)

Results in Papers With Code
(↓ scroll down to see all results)