A generative model is, of necessity, a vast simplification of the deeply complex real-world phenomena that govern any observed data set. It is only via this simplification that we can arrive at a tractable data analysis and discover meaningful and actionable patterns in data. In this sense, typically any model of a real-world data set is misspecified, and misspecification is unavoidable. But wh...

Building footprint simplification is of critical importance to radio propagation predictions in wireless communication systems as the prediction time is closely related to the number of both buildings and vertices involved. Intuitively, if the complexity of footprints (i.e., the number of vertices in the footprints) is reduced, predictions can be generated more quickly. However, such reductions...

Sentence compression is a way to perform text simplification and is usually handled in a monolingual setting. In this paper, we study ways to extend sentence compression in a bilingual context, where the goal is to obtain parallel compressions of parallel sentences. This can be beneficial for a series of multilingual natural language processing (NLP) tasks. We compare two ways to take bilingual...