Parameter-Efficient Neural Differential Equation Solvers via the Horner Scheme
We propose a parameter-efficient neural architecture for solving differential equations that restricts the hypothesis class to Horner-factorized polynomials, yielding an implicit, differentiable solution representation with only a small set of learnable coefficients. For one-dimensional differential equations, initial...