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cs.LG2025
Reduced Order Modeling for Tsunami Forecasting with Bayesian Hierarchical Pooling
Shane X. Coffing, John Tipton, Arvind T. Mohan +1
Reduced-order models (ROMs) can represent spatiotemporal processes in significantly fewer dimensions and can often be solved many orders of magnitude faster than their governing pa…
cs.LG2025
Attention-Based Reconstruction of Full-Field Tsunami Waves from Sparse Tsunameter Networks
Edward McDugald, Arvind Mohan, Darren Engwirda +2
We investigate the potential of an attention-based neural network architecture, the Senseiver, for sparse sensing in tsunami forecasting. Specifically, we focus on the Tsunami Data…