activity
20172022
most citedMachine Learning in the String Landscape

113 citations · 207 across the 5 of their papers we have counts for

collaborators

5 papers

astro-ph.IM2022

A Novel JupyterLab User Experience for Interactive Data Visualization

Peter K. G. Williams, Jonathan Carifio, Henrik Norman +1

In the Jupyter ecosystem, data visualization is usually done with "widgets" created as notebook cell outputs. While this mechanism works well in some circumstances, it is not well-…

hep-th2021★ 23 cited

Orientifold Calabi-Yau Threefolds with Divisor Involutions and String Landscape

Ross Altman, Jonathan Carifio, Xin Gao +1

We establish an orientifold Calabi-Yau threefold database for by considering non-trivial divisor exchange involutions, using a toric Calabi-Yau…

hep-th2018★ 29 cited

Estimating Calabi-Yau Hypersurface and Triangulation Counts with Equation Learners

Ross Altman, Jonathan Carifio, James Halverson +1

We provide the first estimate of the number of fine, regular, star triangulations of the four-dimensional reflexive polytopes, as classified by Kreuzer and Skarke (KS). This provid…

hep-th2017★ 42 cited

Vacuum Selection from Cosmology on Networks of String Geometries

Jonathan Carifio, William J. Cunningham, James Halverson +3

We introduce network science as a framework for studying the string landscape. Two large networks of string geometries are constructed, where nodes are extra-dimensional six-manifo…

hep-th2017★ 113 cited

Machine Learning in the String Landscape

Jonathan Carifio, James Halverson, Dmitri Krioukov +1

We utilize machine learning to study the string landscape. Deep data dives and conjecture generation are proposed as useful frameworks for utilizing machine learning in the landsca…