TimesNet-Gen: Deep Learning-based Site Specific Strong Motion Generation

ArXi:2512.04694v2 Announce Type: replace-cross Effective earthquake risk reduction relies on accurate site-specific evaluations, which require models capable of representing the influence of local site conditions on ground motion characteristics. In this context, data-driven approaches that learn site-controlled signatures from recorded ground motions offer a promising direction. We address strong ground motion generation from time-domain accelerometer records and