We are organising a workshop on integrating learning and reasoning at IJCAI-ECAI in Sweden.

I’m thrilled to become a member of the Royal Society of Edinburgh (RSE) Young Academy of Scotland.

The article introduces a general logical framework for reasoning about discrete and continuous probabilistic models in dynamical domains.

I gave a talk, entitled “Explainability as a service”, at the above event that discussed expectations regarding explainable AI and how could be enabled in applications.

In the paper, we exploit the XADD data structure to perform probabilistic inference in mixed discrete-continuous spaces efficiently.

Our MLJ (2017) article on planning with hybrid MDPs was accepted for presentation at the journal track.

I gave a seminar on decision-theoretic planning via probabilistic programming, based on our recent MLJ (2017) article.