Estimating Calabi-Yau hypersurface and triangulation counts with equation learners

Machine learning line bundle cohomologies of hypersurfaces in toric varieties

(2019) Daniel Klaewer et al.   PHYSICS LETTERS B

Computational complexity of the landscape II—Cosmological considerations

(2018) Frederik Denef et al.   ANNALS OF PHYSICS

Scanning the skeleton of the 4D F-theory landscape

(2018) Washington Taylor et al.   JOURNAL OF HIGH ENERGY PHYSICS

Vacuum Selection from Cosmology on Networks of String Geometries

(2018) Jonathan Carifio et al.   PHYSICAL REVIEW LETTERS

Machine learning CICY threefolds

(2018) Kieran Bull et al.   PHYSICS LETTERS B

Learning non-Higgsable gauge groups in 4D F-theory

(2018) Yi-Nan Wang et al.   JOURNAL OF HIGH ENERGY PHYSICS

Machine learning in the string landscape

(2017) Jonathan Carifio et al.   JOURNAL OF HIGH ENERGY PHYSICS

Evolving neural networks with genetic algorithms to study the string landscape

(2017) Fabian Ruehle   JOURNAL OF HIGH ENERGY PHYSICS

Artificial neural network in cosmic landscape

(2017) Junyu Liu   JOURNAL OF HIGH ENERGY PHYSICS

A Monte Carlo exploration of threefold base geometries for 4d F-theory vacua

(2016) Washington Taylor et al.   JOURNAL OF HIGH ENERGY PHYSICS

A Calabi-Yau database: threefolds constructed from the Kreuzer-Skarke list

(2015) Ross Altman et al.   JOURNAL OF HIGH ENERGY PHYSICS

Heavy tails in Calabi-Yau moduli spaces

(2014) Cody Long et al.   JOURNAL OF HIGH ENERGY PHYSICS

On the computation of non-perturbative effective potentials in the string theory landscape - IIB/F-theory perspective -

(2011) M. Cvetič et al.   FORTSCHRITTE DER PHYSIK-PROGRESS OF PHYSICS