79 citations · 136 across the 10 of their papers we have counts for
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hep-th2021★ 22 cited
Revealing systematics in phenomenologically viable flux vacua with reinforcement learning
Sven Krippendorf, Rene Kroepsch, Marc Syvaeri
The organising principles underlying the structure of phenomenologically viable string vacua can be accessed by sampling such vacua. In many cases this is prohibited by the computa…
cs.LG2021
Improving Simulations with Symmetry Control Neural Networks
Marc Syvaeri, Sven Krippendorf
The dynamics of physical systems is often constrained to lower dimensional sub-spaces due to the presence of conserved quantities. Here we propose a method to learn and exploit suc…
nlin.SI2021★ 13 cited
Integrability ex machina
Sven Krippendorf, Dieter Lust, Marc Syvaeri
Determining whether a dynamical system is integrable is generally a difficult task which is currently done on a case by case basis requiring large human input. Here we propose and…