Learning Size and Shape of Calabi-Yau Spaces

1 code implementation • 2 Nov 2021 • Magdalena Larfors, Andre Lukas, Fabian Ruehle, Robin Schneider

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

Deep multi-task mining Calabi-Yau four-folds

2 code implementations • 4 Aug 2021 • Harold Erbin, Riccardo Finotello, Robin Schneider, Mohamed Tamaazousti

We continue earlier efforts in computing the dimensions of tangent space cohomologies of Calabi-Yau manifolds using deep learning.

Explore and Exploit with Heterotic Line Bundle Models

1 code implementation • 10 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)