NHITs is a SOTA DL for time-series forecasting because: * Accepts past observations, future known inputs, and static exogenous variables. * Uses...
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The original was posted on /r/machinelearning by /u/apaxapax on 2024-10-19 15:19:49+00:00.

NHITs is a SOTA DL for time-series forecasting because:

  • Accepts past observations, future known inputs, and static exogenous variables.
  • Uses multi-rate signal sampling strategy to capture complex frequency patterns — essential for areas like financial forecasting.
  • Point and probabilistic forecasting.

You can find a detailed analysis of the model here: