Distribution Preserving Multiple Hypotheses Prediction for Uncertainty Modeling

Tobias Leemann, Moritz Sackmann, Jörn Thielecke +1

Many supervised machine learning tasks, such as future state prediction in dynamical systems, require precise modeling of a forecast's uncertainty. The Multiple Hypotheses Predicti…