Ambiguity in Sequential Data: Predicting Uncertain Futures with Recurrent Models

Alessandro Berlati, Oliver Scheel, Luigi Di Stefano +1

Ambiguity is inherently present in many machine learning tasks, but especially for sequential models seldom accounted for, as most only output a single prediction. In this work we…