2. What if there are multiple possible outputs for a single input? Example: Predicting future frames of video. Essentially in a classification net, we train this net to emit a score for each class. However, this is not possible to do in a continuous high dimensional domain like images. (We cannot have softmax over images!). Even if the output is discrete, it could have a large sample space. For example, the text is compositional leading to a huge number of possible combinations. Energy-based models provide a better framework to model these modalities.
2. Que faire s’il y a plusieurs résultats possibles pour une seule entrée comme par exemple la prédiction des images futures dans une vidéo ?