activity
20182023
most citedUnbalanced Multi-Marginal Optimal Transport

26 citations · 43 across the 6 of their papers we have counts for

collaborators

6 papers

math.NA2023★ 1 cited

Generalized Iterative Scaling for Regularized Optimal Transport with Affine Constraints: Application Examples

Johannes von Lindheim, Gabriele Steidl

We demonstrate the relevance of an algorithm called generalized iterative scaling (GIS) or simultaneous multiplicative algebraic reconstruction technique (SMART) and its rescaled b…

math.NA2022★ 1 cited

Simple Approximative Algorithms for Free-Support Wasserstein Barycenters

Johannes von Lindheim

Computing Wasserstein barycenters of discrete measures has recently attracted considerable attention due to its wide variety of applications in data science. In general, this probl…

physics.ao-ph2021★ 2 cited

Definition, detection, and tracking of persistent structures in atmospheric flows

Johannes von Lindheim, Abhishek Harikrishnan, Tom Dörffel +8

Long-lived flow patterns in the atmosphere such as weather fronts, mid-latitude blockings or tropical cyclones often induce extreme weather conditions. As a consequence, their desc…

math.OC2021★ 26 cited

Unbalanced Multi-Marginal Optimal Transport

Florian Beier, Johannes von Lindheim, Sebastian Neumayer +1

Entropy regularized optimal transport and its multi-marginal generalization have attracted increasing attention in various applications, in particular due to efficient Sinkhorn-lik…

math.NA2020★ 11 cited

Transfer Operators from Optimal Transport Plans for Coherent Set Detection

Péter Koltai, Johannes von Lindheim, Sebastian Neumayer +1

The topic of this study lies in the intersection of two fields. One is related with analyzing transport phenomena in complicated flows.For this purpose, we use so-called coherent s…

stat.ML2018★ 2 cited

On Hyperparameter Search in Cluster Ensembles

Luzie Helfmann, Johannes von Lindheim, Mattes Mollenhauer +1

Quality assessments of models in unsupervised learning and clustering verification in particular have been a long-standing problem in the machine learning research. The lack of rob…