Mamba-Assisted Closure (MAC) trains a Mamba sequence model on resolved trajectories to predict non-Markovian closures and couples it with reduced-order equations, outperforming Markovian, GRU, and Wilks baselines on Burgers' and Lorenz '96 systems.
Effects of Stochastic Parametrizations in the Lorenz ’96 System
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.LG 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
In the Lorenz '96 system, stochastic parameterizations with temporal persistence improve early ensemble spread growth and spread-error consistency without increasing long-term variance.
citing papers explorer
No citing papers match the current filters.