Concretely,theimage isdivided intoH W cells, and each cell represents a potential foreground object.

Intensity,as defined in the classical temporal point process(TPP) sense, can be interpreted as the expected number of eventsz z0 withinthetimeinterval[t,t+dt].

Figure 2: Latentz extracted by DSEs.

To achieve human-like common sense about everyday life, machine learning systems must understand and reason about the goals, preferences, and actions of other agents in the environment. By the end of their first year of life, human infants intuitively achieve such common sense, and these cognitive achievements lay the foundation for humans' rich and complex understanding of the mental states of others. Can machines achieve generalizable, commonsense reasoning about other agents like human infants?

Unlike most vision tasks that have per-sample ground-truth, image synthesis tasks target generating unseen data and hence are usually evaluated through a distributional distance between one set of real samples and another set of generated samples.

Partial monitoring (PM) is a general sequential decision-making problem with limited feedback ( Rus-tichini, 1999; Piccolboni and Schindelhauer, 2001).