Machine learning to learn functors (admittedly functors on free categories, which are defined by finitely many points)https://twitter.com/bgavran3/status/1166949599732482049 …
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Replying to @_julesh_
Right, it works by finding an implementation for "only" functors of type Free(G) -> Set, where G is a graph. But hey, its a start!
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Ideally, this would be formulated only in terms of necessary properties that categories need to have in order to do optimization (differential categories? I have no idea)
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Or from a probabilistic perspective
6:18 AM - 29 Aug 2019
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