Bruno Gavranović

The essence of the work that I am doing can be encapsulated under the umbrella term categorical cybernetics. Most of these papers assume knowledge of category theory, most notably that of lenses/optics. We propose a categorical framework for ‘cybernetics’: processes which interact bidirectionally with both an environment and a ‘controller’. Examples include open learners, in which the controller is an optimiser such as gradient descent, and open games, in which the controller is a composite of

3 mentions: @bgavran3@bgavran3@justinrwlynn
Date: 2021/06/14 15:19

Referring Tweets

@bgavran3 This is just some stuff from some of the recent papers I coauthored (t.co/pJ0kE2NdVY) where this is all written down in more detail. The more I work on understanding learning through the lens of category theory, the more excited I get: I believe the potential is immense. t.co/2fChQWJuko
@bgavran3 @sam_power_825 Yeah, I think there's lots of categorical background that I did not mention in this tweet. This blog post is a short and down-to-earth introduction to these thoughts: t.co/qdEbl63zuH and some of my recent papers too: t.co/pJ0kE2NdVY
@justinrwlynn @tweagio Type Systems as Macros [System-Fω Powerful] t.co/D7dVjwq286 Dependent Type Systems as Macros t.co/2ZyjExojP7 Neural Networks, Types, and Functional Programming t.co/DsNykZg3Zb Categorical Foundation of Gradient Based Learning t.co/yI5momZDMq

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