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2018

GANs for generating EFT models

Erbin, Harold, Krippendorf, Sven

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We initiate a way of generating models by the computer, satisfying both experimental and theoretical constraints.

In particular, we present a framework which allows the generation of effective field theories.
We use Generative Adversarial Networks to generate these models and we generate examples which go beyond the examples known to the machine.
As a starting point, we apply this idea to the generation of supersymmetric field theories.

GANs for generating EFT models · Around

Built on

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H. Ooguri and C. Vafa, On the Geometry of the String Landscape and the Swampland
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Then

[Online; accessed 17-August-2018]
“Dark Machines (white paper in preparation).” darkmachines.org , 2018 · 2018
Closest in time.
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[Online; accessed 17-August-2018]
R. Atienzia, “Advanced Deep Learning with KERAS.” https://github.com/PacktPublishing/Advanced-Deep-Learning-with-Keras , 2018 · 2018
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