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Johanna Tengler

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#machine learning Jan 2026

Manifold limit for the training of shallow graph convolutional neural networks

It is proved that $\Gamma-convergence of regularized empirical risk minimization functionals and corresponding convergence of their global minimizers, in the sense of weak convergence of the parameter measures and uniform convergence of the functions over compact sets, provides a formalization of mesh and sample indepe...

Johanna Tengler, Christoph Brune, J. A. Iglesias · arXiv.org · 1 citation