#machine learning
Jul 2026
Variational Boosting for Physics-Informed Neural Networks
This work introduces a variational boosting framework in which solutions are constructed additively in function space and separates global nonlinear refinement into a sequence of well-conditioned subproblems while preserving the full variational structure of the operator.
P. Protopapas, K. Vo
· arXiv.org · 0 citations