1 citations · 2 across the 3 of their papers we have counts for
3 papers
stat.ML2025★ 1 cited
Sublinear Variational Optimization of Gaussian Mixture Models with Millions to Billions of Parameters
Sebastian Salwig, Till Kahlke, Florian Hirschberger +2
Gaussian Mixture Models (GMMs) range among the most frequently used models in machine learning. However, training large, general GMMs becomes computationally prohibitive for data s…
cond-mat.dis-nn2023
Energy landscapes of some matching-problem ensembles
Till Kahlke, Alexander K. Hartmann
The maximum-weight matching problem and the behavior of its energy landscape is numerically investigated. We apply a perturbation method adapted from the analysis of spin glasses.…
cond-mat.dis-nn2021★ 1 cited
Phase transition in the bipartite z-matching
Till Kahlke, Martin Fränzle, Alexander K. Hartmann
We study numerically the maximum -matching problems on ensembles of bipartite random graphs. The -matching problems describes the matching between two types of nodes, users a…