Time series saliency maps: explaining models across multiple domains

ArXi:2505.13100v3 Announce Type: replace Traditional saliency map methods, popularized in computer vision, highlight individual points (pixels) of the input that contribute the most to the model's output. However, in time series, they offer limited insights, as semantically meaningful features are often found in other domains. We