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BeGAN: Synthetic PDN Benchmark Generation by zoo50913 is a document available to read on EtoBox.

The document proposes a GAN-based methodology called BeGAN to generate synthetic power grid benchmarks from a small set of real circuit data. BeGAN employs generative adversarial networks to extract characteristics from real current maps in a training set and generate thousands of realistic synthetic power delivery network benchmarks. BeGAN is shown to generate benchmarks with significant histogram correlation to real data and high levels of intellectual property obfuscation. The generated benchmarks are re

Author

zoo50913

Language

EN