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cs.LG2026
NeuraLSP: A Neural Spectral Preconditioner for Accelerating PDE Solvers
Alexander Benanti, Xi Han, Hong Qin
Solving large-scale sparse linear systems originating from partial differential equations (PDEs) is a fundamental topic in high-performance scientific computing, where precondition…
cs.LG2025
GeoMaNO: Geometric Mamba Neural Operator for Partial Differential Equations
Xi Han, Jingwei Zhang, Dimitris Samaras +2
The neural operator (NO) framework has emerged as a powerful tool for solving partial differential equations (PDEs). Recent NOs are dominated by the Transformer architecture, which…