[26] Kevin Ellis - Algorithms For Learning To Induce Programs The Thesis Review podcast

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Science Thesis Review Sean Welleck

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The Thesis Review « »
[26] Kevin Ellis - Algorithms for Learning to Induce Programs

4y ago 1:17:49

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Indhold leveret af The Thesis Review and Sean Welleck. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af The Thesis Review and Sean Welleck eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

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

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49 episoder

#Science #Thesis Review #Sean Welleck

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[26] Kevin Ellis - Algorithms for Learning to Induce Programs

The Thesis Review

published 4y ago

Del

MP3•Episode hjem

Indhold leveret af The Thesis Review and Sean Welleck. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af The Thesis Review and Sean Welleck eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

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

… continue reading

49 episoder

#Science #Thesis Review #Sean Welleck

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