Workshop Report: Learning Approaches for Hybrid Dynamical Systems

This report summarizes the workshop on "Learning Approaches for Hybrid Dynamical Systems", held at the 2025 Conference on Machine Learning for Cyber-Physical Systems (ML4CPS). The workshop aimed to strengthen collaboration and foster exchange between institutions engaged in research on model learning methods for hybrid CPSs. The participating research groups approach the topic from diverse perspectives, for example, from an application perspective, from a tool perspective, or from a fundamental and formal perspective. Accordingly, this paper synthesizes the discussions from the workshop and presents an overview of key perspectives on several central topics, including the taxonomy of hybrid systems, current learning paradigms and techniques, and particularly representative use cases.