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![[26] Kevin Ellis - Algorithms for Learning to Induce Programs](https://i1.sndcdn.com/avatars-yacRoaYGngfNlrm8-gSAE7A-original.jpg){kind=avatar}
Listen "[26] Kevin Ellis - Algorithms for Learning to Induce Programs"
Episode Synopsis
Kevin Ellis is an assistant professor at Cornell and currently a research scientist at Common Sense Machines. His research focuses on artificial intelligence, program synthesis, and neurosymbolic models.
Kevin's PhD thesis is titled "Algorithms for Learning to Induce Programs", which he completed in 2020 at MIT. We discuss Kevin’s work at the intersection of machine learning and program induction, including inferring graphics programs from images and drawings, DreamCoder, and more.
Episode notes: https://cs.nyu.edu/~welleck/episode26.html
Follow the Thesis Review (@thesisreview) and Sean Welleck (@wellecks) on Twitter, and find out more info about the show at https://cs.nyu.edu/~welleck/podcast.html
Support The Thesis Review at www.patreon.com/thesisreview or www.buymeacoffee.com/thesisreview
Kevin's PhD thesis is titled "Algorithms for Learning to Induce Programs", which he completed in 2020 at MIT. We discuss Kevin’s work at the intersection of machine learning and program induction, including inferring graphics programs from images and drawings, DreamCoder, and more.
Episode notes: https://cs.nyu.edu/~welleck/episode26.html
Follow the Thesis Review (@thesisreview) and Sean Welleck (@wellecks) on Twitter, and find out more info about the show at https://cs.nyu.edu/~welleck/podcast.html
Support The Thesis Review at www.patreon.com/thesisreview or www.buymeacoffee.com/thesisreview
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