Sep 2026
Neural computation as operator-theoretic learning on measures.
A unified account of neural architectures as computable approximations of operators over structured domains is formulating as the finite-dimensional representation of operators acting on functions and measures.
Ming-Shu Wang
· Neural Networks · 0 citations