Most grad-level Deep Learning classes have a week or so devoted to "Approximate Bayes" methods. And it's conceivable future updates to all popular probabilistic programming languages will include "programmable" rather than "fixed-function" inference methods.
I think the most fascinating aspect is that Friston and his team are working within the field of Computational and Algorithmic Psychiatry. I mean this pre-print is really interesting: using video game play to diagnose disorder.
Active Inference in OpenAI Gym: A Paradigm for Computational Investigations Into Psychiatric Illness
"Inference Metaprogramming" paper
https://people.csail.mit.edu/rinard/paper/pldi18.pdf
Latest state-of-the-art research will be presented at upcoming NeuroIPS conference
Symposium on Advances in Approximate Bayesian Inference
http://approximateinference.org/accepted/
I think the most fascinating aspect is that Friston and his team are working within the field of Computational and Algorithmic Psychiatry. I mean this pre-print is really interesting: using video game play to diagnose disorder.
Active Inference in OpenAI Gym: A Paradigm for Computational Investigations Into Psychiatric Illness
https://www.biologicalpsychiatrycnni.org/article/S2451-9022(...