AI RESEARCH
Late Fusion Neural Operators for Extrapolation Across Parameter Space in Partial Differential Equations
arXiv CS.LG
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ArXi:2604.16721v1 Announce Type: new Developing neural operators that accurately predict the behavior of systems governed by partial differential equations (PDEs) across unseen parameter regimes is crucial for robust generalization in scientific and engineering applications. In practical applications, variations in physical parameters induce distribution shifts between