Author

Yi Zhu

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#machine learning Preprint Sep 2026

Seismic Site Response Prediction from Sparse Observations Using Finite-Element-Pretrained Latent Dynamics

Numerical site-response predictions often deviate from observations, yet correcting these discrepancies is difficult because records are limited in both sensor coverage and number of events. This study proposes the Transfer-Enabled Forced Latent Autoencoder for Response Equations (FLARE-T) to improve these predictions...

Yi Zhu, Su Chen, Xiao-Jun Li · 0 citations

Jul 2026

Discovering Latent Response Laws in Forced Physical Systems

FLARE is a forced latent autoencoder for response equations that learns compact response coordinates, identifies sparse input-dependent latent dynamics and decodes equation rollouts to full responses, and predicts long-horizon high-dimensional responses under inputs not used for training.

Yi Zhu, Su Chen, Xiao-Jun Li et al. · arXiv.org · 0 citations