37 citations · 63 across the 8 of their papers we have counts for
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hep-th2022★ 22 cited
CYJAX: A package for Calabi-Yau metrics with JAX
Mathis Gerdes, Sven Krippendorf
We present the first version of CYJAX, a package for machine learning Calabi-Yau metrics using JAX. It is meant to be accessible both as a top-level tool and as a library of modula…
hep-lat2022★ 37 cited
Learning Lattice Quantum Field Theories with Equivariant Continuous Flows
Mathis Gerdes, Pim de Haan, Corrado Rainone +2
We propose a novel machine learning method for sampling from the high-dimensional probability distributions of Lattice Field Theories, which is based on a single neural ODE layer a…