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arXiv · 2509.16029

Sampling String Vacua Using Generative Models

Moritz Walden·Magdalena Larfors
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Abstract

We apply generative models to a key problem in the string compactification program, namely construction of type IIB string vacua. To this end, we make use of a Bayesian Flow Network, a generative model capable of handling discrete data, to generate flux vectors that give rise to type IIB vacua. Furthermore, we sample flux vacua that have certain desirable properties by employing a Transformer as a conditional generative model. Both models demonstrate good performance in finding flux vacua and thus prove to be powerful tools in the exploration of the string landscape.

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Moritz Walden, Magdalena Larfors. 2025-09-19. Sampling String Vacua Using Generative Models. https://doi.org/10.1088/2632-2153%2Fae32dc

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