24 citations · 75 across the 13 of their papers we have counts for
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cs.LG2021★ 7 cited
The Geometry of Adversarial Training in Binary Classification
Leon Bungert, Nicolás García Trillos, Ryan Murray
We establish an equivalence between a family of adversarial training problems for non-parametric binary classification and a family of regularized risk minimization problems where…
math.NA2021★ 18 cited
Uniform Convergence Rates for Lipschitz Learning on Graphs
Leon Bungert, Jeff Calder, Tim Roith
Lipschitz learning is a graph-based semi-supervised learning method where one extends labels from a labeled to an unlabeled data set by solving the infinity Laplace equation on a w…
math.NA2021
Complete Deterministic Dynamics and Spectral Decomposition of the Linear Ensemble Kalman Inversion
Leon Bungert, Philipp Wacker
The ensemble Kalman inversion (EKI) for the solution of Bayesian inverse problems of type , with being an unknown parameter, a given datum, and $\vare…