79 citations · 258 across the 61 of their papers we have counts for
7 papers · 1 filter
Scalable multiscale-spectral GFEM with an application to composite aero-structures
Jean Bénézech, Linus Seelinger, Peter Bastian +4
In this paper, the first large-scale application of multiscale-spectral generalized finite element methods (MS-GFEM) to composite aero-structures is presented. The crucial novelty…
Deep importance sampling using tensor trains with application to a priori and a posteriori rare event estimation
Tiangang Cui, Sergey Dolgov, Robert Scheichl
We propose a deep importance sampling method that is suitable for estimating rare event probabilities in high-dimensional problems. We approximate the optimal importance distributi…
Adaptive multilevel subset simulation with selective refinement
Daniel Elfverson, Robert Scheichl, Simon Weissmann +1
In this work we propose an adaptive multilevel version of subset simulation to estimate the probability of rare events for complex physical systems. Given a sequence of nested fail…
Separating internal and externally-forced contributions to global temperature variability using a Bayesian stochastic energy balance framework
Maybritt Schillinger, Beatrice Ellerhoff, Robert Scheichl +1
Earth's temperature variability can be partitioned into internal and externally-forced components. Yet, underlying mechanisms and their relative contributions remain insufficiently…
Multilevel simulation of hard-sphere mixtures
Paul B. Rohrbach, Hideki Kobayashi, Robert Scheichl +2
We present a multilevel Monte Carlo simulation method for analysing multi-scale physical systems via a hierarchy of coarse-grained representations, to obtain numerically-exact resu…
A Bayesian Approach to Modelling Biological Pattern Formation with Limited Data
Alexey Kazarnikov, Robert Scheichl, Heikki Haario +1
Pattern formation in biological tissues plays an important role in the development of living organisms. Since the classical work of Alan Turing, a pre-eminent way of modelling has…