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The Early Universe Information Bottleneck

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If you have a question about this talk, please contact Tobias Baldauf.

A number of candidate embeddings of inflation in string theory now exist but clear statements about their predictions remain elusive. By combining numerical approaches to computing observables with recent developments in machine learning, it is now possible to efficiently study how predictions depend on modelling assumptions. We find an information bottleneck which can impose strong hierarchies in the sensitivity of predictions to different modelling ingredients. This provides hope that robust predictions may possible despite significant holes in our understanding of the underlying construction. In this talk I will describe current work in progress, using axion monodromy as an example.

This talk is part of the Cosmology Lunch series.

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