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
· Machine Learning: Science an... · 0 citations