GAIA: geometry-adaptive operator learning for forward and inverse PDE problems

arXiv·low signal

GAIA is a geometry-adaptive neural operator that builds fast surrogates for partial differential equations on arbitrary geometries, targeting both forward and inverse problems in large-scale simulation. It is scientific-ML infrastructure with narrow relevance to the agent ecosystem. Included as new primary-source research at low importance. cs.LG/math.NA.