Black-box optimization is a very active area of research, with many new algorithms being developed every year. This variety needed, on the one hand, since different are most suitable for types problems. But also poses meta-problem: which algorithm to choose given problem at hand? Past research has shown that per-instance selection based exploratory landscape analysis (ELA) can be an efficient m...

Vehicle trajectory prediction tasks have been commonly tackled from two distinct perspectives: either with knowledge-driven methods or more recently data-driven ones. On the one hand, we can explicitly implement domain-knowledge physical priors such as anticipating that vehicles will follow middle of roads. While this perspective leads to feasible outputs, it has limited performance due difficu...