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cs.LG2026
Generalization Limits of In-Context Operator Networks for Higher-Order Partial Differential Equations
Jamie Mahowald, Tan Bui-Thanh
We investigate the generalization capabilities of In-Context Operator Networks (ICONs), a new class of operator networks that build on the principles of in-context learning, for hi…
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…