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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…

Dec. 15-19 2016, University of Lugano, Switzerland

When: Wed. 29.06.2015, 10:00 Where: MW1403

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 at: …

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

When: Wednesday May 11, 10am Where: MW 1403

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.…

The slides of the presentation can be found here

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…

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…

Lukas Bruder presents his Semester thesis on "Stochastic variational Bayesian inference for inverse problems"

FOMICS Winter School on Uncertainty Quantification

Maximilian Koschade talks on "Information Geometry - Introduction to Theory and Application"

Prof. Koutsourelakis is invited as senior fellow at Center for Interdisciplinary Research (ZiF), Bielefeld University

Seminar by Dr. H. Hatzikirou (http://www.hatzikirou.net/) on "Cell decision-making in tumor development"

Lukas Felsberger talks on "Coarse graining of non-equilibrium systems and the Mori-Zwanzig formalism"

Focal Period award - PRedicting macroscOpic behavior from MIcroscopic Simulators (PROMISe)

Lukas Koestler presents his Bachelor's thesis on "Probabilistic Machine Learning Tools For Reduced Order Basis Methods"

Mariella Kast presents her Bachelor's thesis on "Application of biomechanical numerical analysis on experimental data"

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"