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

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

Each episode of The Thesis Review is a conversation centered around a researcher's PhD thesis, giving insight into their history, revisiting older ideas, and providing a valuable perspective on how their research has evolved (or stayed the same) since.