2 papers
cs.LG2024
AALF: Almost Always Linear Forecasting
Matthias Jakobs, Thomas Liebig
Recent works for time-series forecasting more and more leverage the high predictive power of Deep Learning models. With this increase in model complexity, however, comes a lack in…
cs.LG2024
Explainable Adaptive Tree-based Model Selection for Time Series Forecasting
Matthias Jakobs, Amal Saadallah
Tree-based models have been successfully applied to a wide variety of tasks, including time series forecasting. They are increasingly in demand and widely accepted because of their…