NVExplain: Explaining time series forecasting with latent trajectory analysis and structure-preserving surrogates
Read the original at arxiv.org→arXiv:2608.25080v1 Announce Type: new Abstract: Time series forecasting models are widely used in high-stakes settings, yet their predictions remain difficult to interpret because existing post-hoc methods often...
Original headline: "NVExplain: Explaining Time Series Forecasting with Latent Trajectory Analysis and Structure-Preserving Surrogates"
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- Aug 27, 04:00 UTC arXiv cs.LG lead source NVExplain: Explaining Time Series Forecasting with Latent Trajectory Analysis and Structure-Preserving Surrogates