An autoregressive GRU-GeoFNO model predicts HEC-RAS stage and flow on 67 Mississippi reaches with a 3.45x speedup and a median absolute stage error of 0.31 feet on a year-long hold-out.
Fourier neural operator for parametric partial differential equations,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Accelerating HEC-RAS: A Recurrent Neural Operator for Rapid River Forecasting
An autoregressive GRU-GeoFNO model predicts HEC-RAS stage and flow on 67 Mississippi reaches with a 3.45x speedup and a median absolute stage error of 0.31 feet on a year-long hold-out.