TimesNet-Gen generates station-specific strong motion records from a frozen pre-trained model using Dirichlet-based latent space resampling, achieving cross-regional generalization on NGA-West2 data without fine-tuning.
A new set of automated methodologies for estimating site fundamental frequency and its uncer- tainty using horizontal-to-vertical spectral ratio curves
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TimesNet-Gen: Deep Learning-based Site Specific Strong Motion Generation
TimesNet-Gen generates station-specific strong motion records from a frozen pre-trained model using Dirichlet-based latent space resampling, achieving cross-regional generalization on NGA-West2 data without fine-tuning.