Deepar

New DeRegiME model improves probabilistic forecasting under distribution shift

Researchers have developed DeRegiME, a novel probabilistic forecasting method designed to handle distribution shifts in time series data. This approach uses a deep mixture of experts model with a sparse variational Gaus…