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Preprint Aug 2026

Unsupervised Adaptation of PDE Foundation Models

Pretrained partial differential equation (PDE) foundation models can generalize across different equations, but adapting them to unseen PDE systems typically requires dense solution data, which is often expensive or unavailable. To address this limitation, we propose an unsupervised PDE-based finetuning framework that...

Ziye Song, Zhao Wei, Xin Yu et al. · 0 citations
#machine learning Preprint Sep 2026

Inferring Urban Mobility Interactions from Aggregated Dynamics

Real-time urban governance depends not only on knowing where people are, but on how they move between places, directional flows that could be conventionally resolved by tracking individuals through space, i.e., expensive to sustain and built on traces that are highly unique and readily re-identifiable. Here we show tha...

Yi Wang, Jing Li, Jin-Liang Deng et al. · 0 citations

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