Horizon Activation Mapping for Neural Networks in Time Series Forecasting

ArXi:2601.02094v4 Announce Type: replace Neural networks for time series forecasting have relied on error metrics and architecture-specific interpretability approaches for model selection that don't apply across models of different families. To interpret forecasting models agnostic to the types of layers across state-of-the-art model families, we