3 papers
astro-ph.IM2026
Data-Driven Forecasting of three-Component Seismograms Using Transformer Architectures
Waleed Esmail, Stuart Russell, Jana Klinge +2
Forecasting seismic waveforms beyond observed data remains challenging due to the nonlinear, dispersive, and multi-scale nature of seismic wave propagation. In this work, we introd…
cs.LG2026
When Do Autoregressive Sequence Models Forecast Physical Wavefields? A Controlled Study on Synthetic Seismograms
Waleed Esmail, Stuart Russell, Jana Klinge +2
Long-horizon autoregressive forecasting of oscillatory physical signals, such as seismograms, gravitational-wave strain, and similar wavefields is limited by error accumulation: as…
cs.LG2025
Forecasting Seismic Waveforms: A Deep Learning Approach for Einstein Telescope
Waleed Esmail, Alexander Kappes, Stuart Russell +1
We introduce \textit{SeismoGPT}, a transformer-based model for forecasting three-component seismic waveforms in the context of future gravitational wave detectors like the Einstein…