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cs.LG2026
Learned Response-Field Inertia Operator for HEC-RAS 2D Water-Surface Elevation Prediction
Edward Holmberg, Elias Ioup, Md Meftahul Ferdaus +2
This article presents a cross-dataset evaluation of learned native-cell surrogate models for solver-consistent water-surface elevation (WSE) prediction in HEC-RAS 2D. To avoid rast…
cs.LG2026
Bridging Spectral Operator Learning and U-Net Hierarchies: SpectraNet for Stable Autoregressive PDE Surrogates
Enrique Hernández Noguera, Md Meftahul Ferdaus, Elias Ioup +2
Neural operators for time-dependent PDEs face a structural tension: spectral architectures (FNO and descendants) inherit exponential rollout-error growth from their one-step Lipsch…
cs.LG2025
Accelerating HEC-RAS: A Recurrent Neural Operator for Rapid River Forecasting
Edward Holmberg, Pujan Pokhrel, Maximilian Zoch +9
Physics-based solvers like HEC-RAS provide high-fidelity river forecasts but are too computationally intensive for on-the-fly decision-making during flood events. The central chall…