2 papers
cs.AI2026
Neuro-Symbolic Multitasking: A Unified Framework for Discovering Generalizable Solutions to PDE Families
Yipeng Huang, Dejun Xu, Zexin Lin +2
Solving Partial Differential Equations (PDEs) is fundamental to numerous scientific and engineering disciplines. A common challenge arises from solving the PDE families, which are…
cs.LG2024
Adversarial Learning for Neural PDE Solvers with Sparse Data
Yunpeng Gong, Yongjie Hou, Zhenzhong Wang +2
Neural network solvers for partial differential equations (PDEs) have made significant progress, yet they continue to face challenges related to data scarcity and model robustness.…