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.

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.

Learning Physics Simulators with Jonathan Godwin from DeepMind

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

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

Guitar + ML with Lauri Juvela from Neural DSP

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.

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.

Scalable Inception Graph Neural Nets with Emanuele Rossi from Twitter

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