arXiv cs.AI
· Papers
Improving Auto-Design of Neural PDE Solvers with a Domain-Specific Language
arXiv:2608.04384v1 Announce Type: new Abstract: Neural PDE solver auto-design is fundamentally a search-space representation problem. In the space of unrestricted Python programs, valid solvers form an extremely sparse subset: most candidate programs are syntactically incorrect, semantically incompatible, or numericall