Abstract: The present thesis is concerned with the topic of stochastic variational inference and its application to model-based Bayesian inverse problems. Variational inference, like Markov chain Monte Carlo (MCMC), is a method to evaluate intractable, complex prob- ability distributions. In… [weiterlesen]

Dec. 15-19 2016, University of Lugano, Switzerland [weiterlesen]

When: Wed. 29.06.2015, 10:00 Where: MW1403 [weiterlesen]

Prof. Koutsourelakis has been invited to participate as a fellow in the group on Multiscale Modeling on Tumor Growth and Progression: From Gene regulation to Evolutionary Dynamics that will take place between Sept. 1  and Dec. 31 2016.  More details on the group can be found… [weiterlesen]

Time: Thursday 19 May 2016, 16:45, Place: MW 1250 (Building 2, 1st floor) [weiterlesen]

When: Wednesday May 11, 10am Where: MW 1403 [weiterlesen]

TUM-IAS has awarded our proposal on PRedicting macroscOpic behavior from MIcroscopic Simulators (PROMISe) with a Focal Period grant. This represents a collaborative effort between the following groups:  • Focus group: Complex Systems Modeling and Computation (Hans Fischer Senior Fellow: Prof. I.… [weiterlesen]

The slides of the presentation can be found here [weiterlesen]

Mariella Kast presents her Bachelor's thesis on "Application of biomechanical numerical analysis on experimental data" The slides of the presentation can be found here  Abstract: This thesis follows a model-based approach to elastography such that the inverse problem statement is solved as an… [weiterlesen]

Maximilan Koschade presents his Semester thesis on "Polynomial Chaos Expansion and Active Bayesian Machine Learning for Uncertainty Quantification in the Context of Stochastic Partial Differential Equations" Abstract: We first introduce the basics of both intrusive and non-intrusive Polynomial… [weiterlesen]