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Found 2 papers, 1 papers with code
Broadband Ground Motion Synthesis via Generative Adversarial Neural Operators: Development and Validation
Lastly, cGM-GANO produces similar median scaling to traditional GMMs for frequencies greater than 1Hz for both PSA and EAS but underestimates the aleatory variability of EAS.
Data-driven Accelerogram Synthesis using Deep Generative Models
Our approach extends the Wasserstein GAN formulation to allow for the generation of ground-motions conditioned on a set of continuous physical variables.
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