Normalizing flows model a complex target distribution in terms of a bije...
Event sequences can be modeled by temporal point processes (TPPs) to cap...
The problem of efficiently training and evaluating image classifiers tha...
Time is an important feature in many applications involving events that ...
Triangular maps are a construct in probability theory that allows the
tr...
Knowledge graphs (KGs) typically contain temporal facts indicating
relat...
Scientific imaging techniques such as optical and electron microscopy an...
Carefully crafted, often imperceptible, adversarial perturbations have b...
As computational challenges in optimization and statistical inference gr...