This interview is about the paper "Learning to Simulate Complex Physics with Graph Networks".  Jonathan is an ML Research Engineer at DeepMind and one of the authors of this paper.

A discussion about modeling guitar amps and pedals with black box machine learning.

This episode is an interview with Emanuele Rossi, who is an ML researcher at Twitter and a PhD student in Michael Bronstein's lab.  We discuss his work on Scalable Inception Graph Neural Networks and the challenges of putting GNN-based methods into production.