Preprint
Aug 2026
Unsupervised Adaptation of PDE Foundation Models
This work proposes an unsupervised PDE-based finetuning framework that eliminates the need for ground-truth solutions, and introduces NSLoRA, a Newton-Schulz orthogonalized variant that rebalances adaptation.
Ziye Song, Zhao Wei, Xin Yu et al.
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