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Valentin Duruisseaux

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#machine learning Preprint Sep 2026

Equation Recast for Canonical Operator Learning Across Parametric PDEs

Equation recast is introduced, which reformulates parametric operator learning as the learning of a single canonical operator, and provides a route toward reusable neural PDE solvers combining equation-guided transfer, data efficiency, and monitorable inference.

Qi-Yun Cheng, Valentin Duruisseaux, C. Clauser et al. · 0 citations