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Vikas Dwivedi

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Open access Aug 2026

Meta-SPINN: meta-learned basis adaptation for parametric PDEs

Meta-SPINN works both as a direct predictor for unseen tasks and as a task-aware initializer for subsequent single-instance residual-guided refinement, providing reusable predictions together with an interpretable visualization of how solution geometry changes across a parameter family.

Vikas Dwivedi, Monica Sigovan, Bruno Sixou · 0 citations

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