2026
Physics-informed coarsening for multigrid graph neural networks surrogates
ICML 2026poster
Learning-based surrogates for partial differential equations have recently matched the accuracy of classical solvers while achieving orders-of-magnitude speedups, predominantly in fluid settings and structured geometries. In contrast, robust surrogates for deformable solids remain underexplored, des…