cross-disciplinary generalization 1foundation models 1graph neural networks 1in-context learning 1numerical intelligence 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.AI2026
A foundation model of numerical intelligence with cross-disciplinary generalization
Chenghan Wu, Zongmin Yu, Liu Yang
The paper introduces UNICON, a foundation model that learns predictive relations from graph‑based numerical contexts and can apply this numerical intelligence across scientific and…
cs.LG2026
Graph In-Context Operator Networks for Generalizable Spatiotemporal Prediction
Chenghan Wu, Zongmin Yu, Boai Sun +1
In-context operator learning enables neural networks to infer solution operators from contextual examples without weight updates. While prior work has demonstrated the effectivenes…