A framework learns boundary-to-domain pseudo-extensions to condition neural operators on complex BCs, achieving SOTA accuracy on 18 challenging PDE datasets without hyperparameter tuning.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Imposing Boundary Conditions on Neural Operators via Learned Function Extensions
A framework learns boundary-to-domain pseudo-extensions to condition neural operators on complex BCs, achieving SOTA accuracy on 18 challenging PDE datasets without hyperparameter tuning.