AI RESEARCH
Merging Memory and Space: A State Space Neural Operator
arXiv CS.LG
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ArXi:2507.23428v5 Announce Type: replace We propose the *State Space Neural Operator* (SS-NO), a compact architecture for learning solution operators of time-dependent partial differential equations (PDEs). Our formulation extends structured state space models (SSMs) to joint spatiotemporal modeling,