112 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Helmholtz MunichDE6 papers
- Heidelberg UniversityDE4 papers
- Technical University of MunichDE4 papers
- Darmstadt University of Applied SciencesDE3 papers
- Bielefeld UniversityDE1 paper
- Consejo Superior de Investigaciones CientíficasES1 paper
- Flatiron Institute1 paper
- Harvard UniversityUS1 paper
- Heidelberg Institute for Theoretical StudiesDE1 paper
- Instituto de Investigacións MariñasES1 paper
- Ludwig-Maximilians-Universität MünchenDE1 paper
- Massachusetts Institute of TechnologyUS1 paper
7 papers
Fast computation of latent correlations
Grace Yoon, Christian L. Müller, Irina Gaynanova
Latent Gaussian copula models provide a powerful means to perform multi-view data integration since these models can seamlessly express dependencies between mixed variable types (b…
PEtab -- interoperable specification of parameter estimation problems in systems biology
Leonard Schmiester, Yannik Schälte, Frank T. Bergmann +26
Reproducibility and reusability of the results of data-based modeling studies are essential. Yet, there has been -- so far -- no broadly supported format for the specification of p…
Bayesian Inference for Diffusion Processes: Using Higher-Order Approximations for Transition Densities
Susanne Pieschner, Christiane Fuchs
Modelling random dynamical systems in continuous time, diffusion processes are a powerful tool in many areas of science. Model parameters can be estimated from time-discretely obse…
Smoothing for signals with discontinuities using higher order Mumford-Shah models
Martin Storath, Lukas Kiefer, Andreas Weinmann
Minimizing the Mumford-Shah functional is frequently used for smoothing signals or time series with discontinuities. A significant limitation of the standard Mumford-Shah model is…
Total Generalized Variation for Manifold-valued Data
K. Bredies, M. Holler, M. Storath +1
In this paper we introduce the notion of second-order total generalized variation (TGV) regularization for manifold-valued data in a discrete setting. We provide an axiomatic appro…
Model-based learning of local image features for unsupervised texture segmentation
Martin Kiechle, Martin Storath, Andreas Weinmann +1
Features that capture well the textural patterns of a certain class of images are crucial for the performance of texture segmentation methods. The manual selection of features or d…
Integration based profile likelihood calculation for PDE constrained parameter estimation problems
Romana Boiger, Jan Hasenauer, Sabrina Hross +1
Partial differential equation (PDE) models are widely used in engineering and natural sciences to describe spatio-temporal processes. The parameters of the considered processes are…