PINN-AFE uses multi-head attention and input convex networks to solve Monge-Ampère equations with claimed accuracy, efficiency, and extensions to image enhancement and medical registration.
Arratia L´ opez, H
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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A review assessing PINN advances for forward modeling, inverse design, and equation discovery across multi-physics domains.
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Physics-Informed Neural Networks with Attention Feature Expansion for Monge-Amp\`ere Equations
PINN-AFE uses multi-head attention and input convex networks to solve Monge-Ampère equations with claimed accuracy, efficiency, and extensions to image enhancement and medical registration.