Breakeven complexity: A new perspective on neural partial differential equation solvers

ArXi:2605.15399v1 Announce Type: cross Neural surrogate solvers of partial differential equations (PDEs) promise dramatic speedups over numerical methods, especially in scenarios requiring many solves. However, current accuracy-based evaluations do not fully consider two central issues: (1) neural solvers incur substantial up-front costs for data generation