I attended the SML workshop in the Black Forest, and talked about the connections between explainable AI and statistical relational learning. The talk was an extension of a recent Perspectives on XAI summary.

I gave a talk entitled “Perspectives on Explainable AI,” at an interdisciplinary workshop focusing on building trust in AI. Slides here.

An article at the planning and inference workshop at AAAI-18 compares two distinct approaches for probabilistic planning by means of probabilistic programming.

The paper discusses the epistemic formalisation of generalised planning in the presence of noisy acting and sensing.

I gave a talk at the workshop on how the synthesis of logic and machine learning, especially areas such as statistical relational learning, can enable interpretability.

I gave a talk on decision-theoretic planning via probabilistic programming at Oxford. Slides are here.

I gave a talk and a tutorial at the Hybrid reasoning workshop at Aachen, Germany.

I discussed the applications of probabilistic programming for automated planning, and for the tutorial, I covered approaches to unify logic and probability.