Alessandro Abate Seminar (2)

Alessandro Abate (Department of Computer Science)

We are witnessing an increased, inter-disciplinary convergence between areas underpinned by model-based reasoning and by data-driven learning.  Work across these areas is not only scientifically justified, but also motivated by industrial applications where access to information-rich data has to be traded off with a demand for safety criticality: cyber-physical systems are exemplar applications. 

In this talk, I will report on ongoing initiatives in this cross-disciplinary domain. According to the dual perspective in the title of this talk, I will sketch, on the one hand, results where formal methods can provide certificates to learning algorithms, and on the other hand, results where learning can bolster formal verification and strategy synthesis objectives.