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Abstract: Inverse problems are ubiquitous in the engineering domain and often rely on computationally expensive forward models. For applications with societal or economical impact it is of major importance to quantify the uncertainties associated with the simulation results. A Bayesian formulation…

Our group will participate in this year's SIAM Uncertainty Quantification Conference (UQ18) with four papers on: - Beyond Black-boxes in Model-based Bayesian Inverse Problems - A Bayesian Coarse-graining Approach to the Solution of Stochastic Partial Differential Equations - Incorporating…

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Prof. Zabaras was hosted by our group from 2014-2017 as TUM-IAS Hans Fischer Senior Fellow.

The title of the talk was "Physics-conversant machine learning: from molecular dynamics to stochastic PDEs". More details can be found here.

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Abstract: Fine-scale models based on high-dimensional differential equations (DEs) are available for many systems in science and engineering. In many cases, research focuses on effects which occur on a coarser scale instead of the fine one described by the DEs. As it is usually not feasible to…

Our group will participate in this year's SIAM Annual Meeting (AN17) with a paper on: - Optimization of Random Systems Using Multi-Fidelity Models More details about the conference can be found here: http://www.siam.org/meetings/an17/

News

Our group will participate in WCCM 2018 with 3 papers

Christoph Wellnhofer presents his M.Sc. thesis on "A Bayesian Multi-Fidelity Approach for Inverse Problems"

Our group will participate in this year's SIAM Uncertainty Quantification Conference (UQ18) with four papers

New paper on "Bayesian model and dimension reduction for uncertainty propagation: applications in random media"

The paper "Fast uncertainty quantification of activation sequences in patient‐specific cardiac electrophysiology meeting clinical time constraints" has been accepted for publication.

Prof. N. Zabaras is awarded the title of "TUM Ambassador"

Prof. Koutsourelakis is one of the keynote speakers during Speedup 2017

Maximilian Koschade presents Hands-on Tutorial on "Bayesian Multi-Level Monte Carlo" during Speedup 2017

Lukas Felsberger presents his M.Sc. thesis on "Predictive Coarse Graining of Stochastic Multi-Scale Dynamic Systems"

SIAM Annual Meeting, July 9-14 2017, Pittsburgh USA