Over the past decades physics-based data assimilation models have been used in many areas of science and engineering and have found extensive use in…more ›
Our next Coder Dojo will take place on Saturday the 12th of January 2019 from 11am to 3pm.
Come and join us to learn more about the robots Dash and…more ›
Sequential Monte Carlo methods (SMC) are typically stochastic. Ensemble Transform Particle filter (ETPF) is a deterministic SMC method. It, however,…more ›
This talk is concerned with the long time behavior of particle filters and Ensemble Kalman filters. These filters can be interpreted as mean field…more ›
A singular stochastic control problem typically describes the situation in which
an agent has to choose optimally an irreversible strategy in order to…
Part 1: Why do we add jumps to the Brownian motion?
In the first part of the mini course we will focus on jump processes with independent and…more ›
For new medicines to be approved for therapeutic use, three internationally accepted criteria have to be met: efficacy, safety, quality. Yet, in drug…more ›
Part 2: Statistics for jump processes
In the second part of the mini course, we will discuss how to estimate the Lévy measure from discrete…more ›
The second annual SFB Spring School will take place from the 18th (arrival on the 17th) to the 22nd of March 2019 at the Ostseehotel Dierhagen.
Our second SFB Women-Networking-Lunch with Prof. Dr. Adele Diederich will take part during the SFB SpringSchool and provide a chance to talk about…more ›
Im Rahmen des Zukunftstages sollen Schüler der 7. bis 10. Klasse eine Chance bekommen Einblicke in geschlechteruntypische Berufe zu erhalten. Dazu…more ›
When looking for asymptotic results for some statistical model, global asymptotic equivalence, in the Le Cam sense, often proves to be a useful…more ›
This three-day workshop will review our state of knowledge on energy budgets and energy transfers in the climate system and how they are …
Felix Otto will speak as invited guest during this joint colloquium of SFB 1114 and SFB 1294 on the
Effective Behavior of random media
Abstract: In…more ›
Although using probability distributions to model uncertainty is by far the most widely accepted approach, it does not come without inconveniences. A…more ›
Parameter identification problems typically consist of a model equation, e.g. (systems of) ordinary or partial differential equations, and the…more ›
Talk by Julia Fleischer and Markus Seyfried
Das Projekt Kabinettwatch beschäftigt sich mit der Vorhersage der Zusammensetzung des Bundeskabinetts…more ›
We extend the classical Dobrushin's uniqueness criterion to Markov random fields on general graphs and with single-spin spaces that need not be…more ›
One of the main characteristics of infinite-dimensional dissipative evolution equations, such as the Navier-Stokes equations and reaction-diffusion…more ›
The training school is part of the 50th anniversary program initiated by the CRM (Centre de recherches mathématiques) and will take place at the…more ›
Der Potsdamer Tag der Wissenschaften 2019 findet dieses Jahr auf dem Campus der Fachhochschule Potsdam statt. Wir werden mit dem SFB natürlich auch…more ›
The workshop is part of the 50th anniversary program initiated by the CRM (Centre de recherches mathématiques) and will take place at the University…more ›
We introduce sufficiently wide classes of non-linear functionals preserving normal (Gaussian) distribution and establish various conditions under…more ›
The 10th International Conference 'Engineering of Chemical Complexity' will take place at the Seminaris See Hotel in Potsdam from 3rd to the 6th of…more ›
Are event related potentials, well investigated under laboratory
conditions, a signature of cortical processing during natural behavior?
A fundamental task in numerical computation is the solution of large linear systems, and iterative methods are among the most widely used solvers for…more ›
After giving a short introduction to biological neuronal networks and their
main properties, I will explain why neurobiologists are interested by
Treffen Sie einige unserer Wissenschaftler an der Zaun-Ausstellung und fragen Sie sie was Sie schon immer zu dem Thema interessiert hat!
Von 15:30-…more ›
We study a class of interacting particle systems that may be used for optimization. By considering the mean-field limit one obtains a nonlinear…more ›
Convolutional Neural Networks (CNN) have recently seen tremendous success in various computer vision tasks. However, their application to problems…more ›
Methods from data assimilation, inverse problems, and machine learning have shown exciting potential for transforming biomedicine.
First, I will show…more ›
Raanes et al. (2019) revised the iterative ensemble smoother of Chen and Oliver (2013), denoted Ensemble Randomized Maximum Likelihood (EnRML), using…more ›
There is a certain magic involved in recasting the equations in Physics, and the algorithms in Engineering, in variational terms. The most classical…more ›
Neo-Narval at TBL/Pic du Midi (France) will be the first instrument working simultaneously in high resolution spectroscopy, polarimetry and…more ›
Coupled models simulate different compartments of the Earth system as well as their interactions. For example coupled ocean-biogoechemical models…more ›
We are very happy to support the 'I, Scienstist' Conference on gender, career paths and networking for the second time running. The conference s…more ›
The annual meeting of SFB1294 will take place on the 23rd of September at the Campus Griebnitzsee.
Please find more information here.more ›
This year Jamboree for all members of the IRTG as well as associated members will take place from the 25th to the 27th of Sepember.
Please see the…more ›
Predictive data science for physical systems: From model reduction to scientific machine learning
Achieving predictive data science for physical…more ›
We are very happy to have Prof. Dr. Karen Willcox from Institute for Computational Engineering and Sciences and the University of Texas (USA) as guest…more ›
In this talk we will present a data assimilation problem based on a new stochastic rotating shallow
water (SRSW) signal and an adaptive tempering…
The Hamiltonian Monte Carlo (HMC) method is a widely used Markov Chain Monte Carlo algorithm that offers the possibility of combining high acceptance…more ›
We consider the problem of maximizing a non-concave Lipschitz function f over a bounded domain in dimension d. In this talk we provide regret…more ›
The concept of distance is ancient and ubiquitous. Being able to quantify the distance between objects has important applications everywhere in…more ›
Our next CoderDojo will take place on Saturday the 30.11. from 11 am to 3 pm and there will be a whole bunch of new exciting stations available.
Bayesian Inference is almost always a very challenging mathematical and computational problem. In the context of Gaussian Process, only a Gaussian…more ›
Weak constraint four-dimensional variational data assimilation is an important method for incorporating data (typically observations) into a model.…more ›