[28] Karen Ullrich - A Coding Perspective On Deep Latent Variable Models The Thesis Review podcast

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Science Thesis Review Sean Welleck

Innhold levert av The Thesis Review and Sean Welleck. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av The Thesis Review and Sean Welleck eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

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[28] Karen Ullrich - A Coding Perspective on Deep Latent Variable Models

3y ago 1:06:20

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Innhold levert av The Thesis Review and Sean Welleck. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av The Thesis Review and Sean Welleck eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

Karen Ullrich is a Research Scientist at FAIR. Her research focuses on the intersection of information theory and probabilistic machine learning and deep learning. Karen's PhD thesis is titled "A coding perspective on deep latent variable models", which she completed in 2020 at The University of Amsterdam. We discuss information theory & the minimum description length principle, along with her work in the thesis on compression and communication. Episode notes: https://cs.nyu.edu/~welleck/episode28.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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47 episoder

#Science #Thesis Review #Sean Welleck

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[28] Karen Ullrich - A Coding Perspective on Deep Latent Variable Models

The Thesis Review

published 3y ago

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MP3•Episoder hjem

Innhold levert av The Thesis Review and Sean Welleck. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av The Thesis Review and Sean Welleck eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

Karen Ullrich is a Research Scientist at FAIR. Her research focuses on the intersection of information theory and probabilistic machine learning and deep learning. Karen's PhD thesis is titled "A coding perspective on deep latent variable models", which she completed in 2020 at The University of Amsterdam. We discuss information theory & the minimum description length principle, along with her work in the thesis on compression and communication. Episode notes: https://cs.nyu.edu/~welleck/episode28.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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47 episoder

#Science #Thesis Review #Sean Welleck

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