2 papers
cs.LG2025
Fast -means clustering in Riemannian manifolds via Fréchet maps: Applications to large-dimensional SPD matrices
Ji Shi, Nicolas Charon, Andreas Mang +2
We introduce a novel, efficient framework for clustering data on high-dimensional, non-Euclidean manifolds that overcomes the computational challenges associated with standard intr…
math.NA2025
Neural Networks for Bayesian Inverse Problems Governed by a Nonlinear ODE
German Villalobos, Johann Rudi, Andreas Mang
We investigate the use of neural networks (NNs) for the estimation of hidden model parameters and uncertainty quantification from noisy observational data for inverse parameter est…