Diffusion on Syntax Trees for Program Synthesis

Re:Diffusion on Syntax Trees for Program Synthesis by JHonaker on Tuesday June 04, 2024 @09:18AM (#40574299)

Markov Chain Monte Carlo for program synthesis isn't exactly novel. The most immediate reference I thought of is Josh Tenenbaum's [1].

There's also a lot of demos in WebPPL (web probabilistic programming language)[2] like [3] for the synthesis of 3D space-ships. I highly recommend their associated books on The Design and Implementation of Probabilistic Programming Languages [4] and Probabilistic Models of Cognition [5].

I also highly recommend taking a look at the publications of the MIT Probabilistic Computing Project [6].

[1] Human-level concept learning through probabilistic program induction. https://www.cs.cmu.edu/~rsalakhu/papers/LakeEtAl2015Science....

[2] http://webppl.org/

[3] https://dritchie.github.io/web-procmod/

[4] https://dippl.org/

[5] http://probmods.org/

[6] http://probcomp.csail.mit.edu/

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Re:Diffusion on Syntax Trees for Program Synthesis by marcelroed on Wednesday June 05, 2024 @03:25AM (#40582278)

It’s worth noting that Shreyas (the first author) was a student with Tenenbaum at MIT before he went to Berkeley

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