SeismoGPT is a transformer autoregressive model achieving median normalized cross-correlation above 0.93 when forecasting synthetic three-component seismograms up to 240 s ahead from P- and S-wave context.
TOKON: TOKenization-optimized normalization for time series anal- ysis with a large language model.arXiv preprint arXiv:2502.05701, 2025
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Data-Driven Forecasting of three-Component Seismograms Using Transformer Architectures
SeismoGPT is a transformer autoregressive model achieving median normalized cross-correlation above 0.93 when forecasting synthetic three-component seismograms up to 240 s ahead from P- and S-wave context.