Generative deep learning, dynamic modeling & explainable AI: meaning for app. biostatistics | Prof. Harald Binder (Uni Freiburg)
techniques can be used to perform complex modeling tasks while still obtaining interpretability. In a first example, I will show how synthetic observations from deep generative models can be useful for [...] flexible non-linear functions in the corresponding models. Furthermore, deep generative approaches can be used to model the joint distribution of variables, and to subsequently draw synthetic observations [...] individual dynamic trajectories. Together, these examples will illustrate how applied biostatisticians can extend their toolbox with developments from the deep learning community, and also contribute their