research
∙
11/13/2021
Computing f-Divergences and Distances of High-Dimensional Probability Density Functions – Low-Rank Tensor Approximations
Very often, in the course of uncertainty quantification tasks or data an...
share
research
∙
09/16/2021
Stochastic modelling of symmetric positive-definite material tensors
Spatial symmetries and invariances play an important role in the descrip...
research
∙
06/15/2021
Machine learning-based conditional mean filter: a generalization of the ensemble Kalman filter for nonlinear data assimilation
Filtering is a data assimilation technique that performs the sequential ...
research
∙
05/04/2020
Stochastic phase-field modeling of brittle fracture: computing multiple crack patterns and their probabilities
In variational phase-field modeling of brittle fracture, the functional ...
research
∙
11/22/2019
Parametric Models Analysed with Linear Maps
Parametric entities appear in many contexts, be it in optimisation, cont...
research
∙
06/21/2019
Parameter Identification in Viscoplasticity using Transitional Markov Chain Monte Carlo Method
To evaluate the cyclic behavior under different loading conditions using...
research
∙
06/17/2019
Effect of Load Path on Parameter Identification for Plasticity Models using Bayesian Methods
To evaluate the cyclic behavior under different loading conditions using...
research
∙
06/13/2019
Post-Processing of High-Dimensional Data
Scientific computations or measurements may result in huge volumes of da...
research
∙
11/26/2018
Non-deterministic inference using random set models: theory, approximation, and sampling method
A random set is a generalisation of a random variable, i.e. a set-valued...
research
∙
02/26/2018
