Events in 2020

n many physical systems, measurements can only be obtained on the exterior of an object (e.g., the human body or the earth's crust), and the goal is…

Mathematical modeling has been a key tool in various scientific fields (such as biology, medicine, and engineering) in understanding systems dynamics.…

We are very happy to have Julianne Chung and Matthias Chung from Virginia Tech (Virginia Polytechnic Institute and State University, USA) as guest for…

We are very please to have our next SFB Women-Networking-Meeting with Prof. Dr. Katharina Morik, which will take place on the 23.01. at 3 pm. Come…

Mobility is an important topic, because on the one hand, the global world requires mobility of people and goods, but on the other hand, we suffer from…

Recent progress in machine learning has shown how to forecast and, to some extent, learn the dynamics of a model from observations, resorting in…

Slow-fast systems consist of slow macroscopic and fast microscopic dynamics. By using equation-free methods, one can do a complete bifurcation…

Gaussian processes are valuable tools for non-parametric modelling, where typically an assumption of stationarity is employed. While removing this…

We discuss methods for creating Gaussian likelihoods for data that does not directly follow any known statistics. Obvious summary statistics are…

 Atmospheric dispersal of contaminants such as ash can be modelled by stochastic differential equations coupled to a large-scale weather model. We…

The ensemble Kalman filter (EnKF) is a Monte-Carlo-based sequential filtering
method that is often both robust and efficient, but its performance may…

PDE-constrained optimization problems arise in many applications, including inverse problems and optimal control. As optimization over both the…

-Cancelled-

Adaptive importance samplers are adaptive Monte Carlo algorithms to estimate expectations with respect to some target distribution which…

-Unfortunatly our Spring School has to be cancelled due to the current situation concering the Corona Virus-

Participants will be informed in detail…

Reproducibility is one of the fundamentals of scientific results, yet we sometimes don't follow agreed-upon best practices. In the early 2010s, this…

- Unfortunatly this colloquium will be cancelled due to the current situation concering the Corona Virus -

Suppose the PDE is cast in a variational…

We consider optimal sensor placement for inverse problems constrained by partial differential equations in which the model contains uncertainties,…

The talk is concerned with recent results on statistical properties of deterministic dynamical systems. We will discuss the problem of finding…

Developers of IT systems have enormous power. - And therefore also a great responsibility. This applies especially to the ideas and concepts about the…

So far, our statistical understanding of the learning mechanisms of deep neural networks. (DNNs) is rather limited. Part of the reasons for this lack…

Signaling is governed not only by the expression levels of molecules, but by their localization via mechanisms as diverse as compartmentalization in…

The Lasso revisited: entropy bounds and dual certificates

The Lasso is least squares estimation with an ℓ₁-penalty on the coeffcients. In this talk…

The 20th Workshop of the GAMM Activity Group on Applied and Numerical Linear Algebra will take place at the University of Potsdam from 24th-25th…

We consider the problem of recovering the underlying truth in a nonparametric Bayesian inference setting with p-exponential priors. These priors are a…

jointly organised by Jana de Wiljes and the Lappeenranta-Lahti University of Technology (LUT, Finland) more ›

Cognitive computational neuroscience of vision

To learn how cognition is implemented in the brain, we must build computational models that can…

Please find the abstract to the talk here.

Invited by Markus Reiß

***Due to the current pandemic this colloquium will be conducted online. We…