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News/TimesNet-Gen: Deep Learning-based Site Specific Strong Motion Generation
arxiv
PublishedMay 5, 2026 at 4:00 AM
—neutral

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

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2512.04694v3 Announce Type: replace-cross Abstract: 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. We address strong ground motion generation

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Discussion
Mentioned models
02
  • 01
    TimesNet-Gen
  • 02
    Conditional Variational Autoencoder (CVAE)
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#machine-learning#earthquake-risk#generative-models#cross-regional-analysis

No replies yet. Be first.

Mentioned models
02
  • 01
    TimesNet-Gen
  • 02
    Conditional Variational Autoencoder (CVAE)
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#machine-learning#earthquake-risk#generative-models#cross-regional-analysis
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Originally published on arxiv ↗
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