2 papers
cs.LG2026
Error-Conditioned Neural Solvers
Haina Jiang, Liam Wang, Peng-Chen Chen +4
Neural surrogate models offer fast approximate mappings from PDE parameters to solutions, but they typically treat solving as a purely statistical task: once trained, they struggle…
cs.LG2026
Efficient Analysis of the Distilled Neural Tangent Kernel
Jamie Mahowald, Brian Bell, Alex Ho +1
Neural tangent kernel (NTK) methods are computationally limited by the need to evaluate large Jacobians across many data points. Existing approaches reduce this cost primarily thro…