with respect to disruptions of the prescribed boarding sequences -- we identify robustness against such disruptions as a bottleneck for further improvements, and conclude with some initial results on c
different case studies. Furthermore, we will briefly review competing distributional regression approaches such as conditional transformation models and distribution regression, density regression, and quantile
demonstrate positive and negative results in this direction. The third deals with topology optimization of such networks. Here, valid inequalities on the binary decision variables are derived using the nonlinear
receiver coils allows the reconstruction of high-resolution images from undersampled Fourier data such that the acquisition time can be substantially reduced. Mathematically, the parallel MRI reconstruction […] satisfied. Moreover, it has a low computational complexity and fits real MRI data sufficiently well such that it is applicable in practice. The results presented in this talk have been obtained jointly with
whose hydrodynamic aspect is modelled by the magneto-hydro-dynamic equations, short MHD equations. Such flows can cover a wide range of Mach and Alfvén numbers. Thus it is very important to have a numerical […] this talk we will discuss the numerical challenges when constructing a efficient numerical scheme for such a multi-scale problem and present a novel structure-preserving scheme. The numerical method is illustrated
The algorithmic advancements are demonstrated for model problems such as the heat equation as well as benchmarks in porous media such as a three-dimensional footing problem. Bereits ab 16:30 Uhr gibt
Vortrag sollte für alle Mathematik-Interessierten zugänglich sein. Allerdings bietet er erhebliches Suchtpotential, da mehr Fragen offenbleiben als beantwortet werden. Bereits ab 16:30 Uhr gibt es für alle I
We will discuss the optimal convergence rate and derive a quantitative central limit theorem for such SPDEs. The results can be applied, in particular, to the convergence in the mean-field scaling of
Vortrag werden Studien dazu vorgestellt, die die Verstehensillusion nach Erklärvideos empirisch untersucht haben und Strategien diskutiert, damit produktiv umzugehen. Bereits ab 16:30 Uhr gibt es für alle
and additional unstructured effects modeled through a (deep) neural network. To better understand such use cases from a statistical perspective, it is important to address open challenges that exist even […] simpler model class of structured regression models trained in a neural network. This includes aspects such as sparsity, smoothing, and statistical inference, which I will discuss in more detail. Bereits ab
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