Search Results for author: Magdalena Larfors

Found 3 papers, 2 papers with code

Learning Size and Shape of Calabi-Yau Spaces

1 code implementation2 Nov 2021 Magdalena Larfors, Andre Lukas, Fabian Ruehle, Robin Schneider

We present a new machine learning library for computing metrics of string compactification spaces.

Almost contact structures on manifolds with a $G_2$ structure

no code implementations29 Jan 2021 Xenia de la Ossa, Magdalena Larfors, Matthew Magill

We review the construction of almost contact metric (three-) structures, abbreviated ACM(3)S, on manifolds with a $G_2$ structure.

High Energy Physics - Theory Differential Geometry

Explore and Exploit with Heterotic Line Bundle Models

1 code implementation10 Mar 2020 Magdalena Larfors, Robin Schneider

We use deep reinforcement learning to explore a class of heterotic $SU(5)$ GUT models constructed from line bundle sums over Complete Intersection Calabi Yau (CICY) manifolds.

reinforcement-learning Reinforcement Learning (RL)

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