Machine Learning Calabi-Yau Four-folds

The dataset is considerably larger and richer than the one for CICY threefolds and Topological quantities of manifolds, such as Betti or it consists of about 900000 topological types of manifolds. Hodge numbers, are often non-trivially related to the However, so far, this new dataset has not been data describing the underlying manifold and tend to used for machine learning and the purpose of this letter be difficult to work out. Explicit formulae are usually is to fill this gap. More specifically, we will explore, not known and calculations rely on complicated and frequently within the context of supervised learning, if and to what computationally intense algorithms (see, for example, extent Hodge numbers of CICY fourfolds can be learned the volume [1] and references therein for applications by neural networks.