Author

Wen-Bo Cao

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#machine learning Preprint Sep 2026

Single-condition neural solvers encode transferable response spaces for parametric differential equations

Operator learning for parametric partial differential equations (PDEs) typically builds global models over prescribed domains, requiring cross-condition data or costly physics-constrained training. Here we show that the output Jacobian of a neural solution model trained at one condition defines a reusable response spac...

Wen-Bo Cao, Wei-Wei Zhang · 0 citations

#machine learning Preprint Jan 2026

Linearized subspace refinement framework to expose hidden accuracy in trained neural networks

This work presents Linearized Subspace Refinement (LSR), an architecture-agnostic post-training framework that exploits the local linearized model at a fixed trained state and exposes conditioning-limited attainable accuracy in trained-state linearized models and provides direct access to it.

Wen-Bo Cao, Wei-Wei Zhang · 0 citations