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

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

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

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…

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

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

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

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

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

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.…

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

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"

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"

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…

200 Euro Prize Problem

Motivation:

Maximilian Soepper presents his Bachelor's thesis on "Analysis of Optimization Algorithms in the Presence of Noisy Gradients for the Identification of Model Parameters of Multiscale Simulations"

Maximilian Soepper presents his Bachelor's thesis on "Analysis of Optimization Algorithms in the Presence of Noisy Gradients for the Identification of Model Parameters of Multiscale Simulations"

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