Events in 2019
Specification of the Near-Earth Space Environment using Data Assimilation Techniques
Ludger Scherliess, Utah State University 2.28.0.10810:15 - 11:45
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 ›Coder Dojo
2.29.Foyer11:00-15:00
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 ›Deterministic Sequential Monte Carlo for non-Gaussian elliptic problems
Sangeetika Ruchi, Centrum Wiskunde & Informatica, Amsterdam, The Netherlands 2.09.0.1315:15 - 16:45
Sequential Monte Carlo methods (SMC) are typically stochastic. Ensemble Transform Particle filter (ETPF) is a deterministic SMC method. It, however,…
more ›Uniform estimates for particle filters
Pierre del Moral, INRIA, Bordeaux Research Center, University of Bordeaux, France 2.09.0.1410:15-11:45
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 ›Nash Equilibria for Stochastic Games with Singular Control.
Jodi Dianetti, Universität Bielefeld 2.9.2.2210:15-11:45
A singular stochastic control problem typically describes the situation in which
an agent has to choose optimally an irreversible strategy in order to…
Short course on Lévy Processes - Part 1
Ester Mariucci, Universität Potsdam room 2.14.0.47 from 14:15 - 15:45 and room 2.28.0.108 from 16:15 - 17:4514:15 - 17:45
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 ›Pharmacometrics: Analysing and understanding variability and uncertainty in clinical data
Charlotte Kloft , Freie Universität Berlin 2.28.0.10810:15 - 11:45
For new medicines to be approved for therapeutic use, three internationally accepted criteria have to be met: efficacy, safety, quality. Yet, in drug…
more ›Short course on Lévy Processes - Part 2
Ester Mariucci, Universtiät Potsdam room 2.14.0.47 from 14:15 - 15:45 and room 2.28.0.108 from 16:15 - 17:4514:15 - 16:45
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 ›Spring School 2019
18.03.–22.03.
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.
All…
more ›Women-Networking- Lunch
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 ›Zukunftstag 2019
9:00 - 13:00
Im Rahmen des Zukunftstages sollen Schüler der 7. bis 10. Klasse eine Chance bekommen Einblicke in geschlechteruntypische Berufe zu erhalten. Dazu…
more ›Asymptotic equivalence for diffusion processes and the corresponding Euler scheme
Ester Mariucci, Universität Potsdam, SFB 1294, Germany 2.9.0.1410:15 - 11:15
When looking for asymptotic results for some statistical model, global asymptotic equivalence, in the Le Cam sense, often proves to be a useful…
more ›Joint Workshop of TRR 181, SFB 1114 and SFB 1294
3.06.H302.04.-04.04.2019
This three-day workshop will review our state of knowledge on energy budgets and energy transfers in the climate system and how they are …
Joined Colloquium of SFB 1114 and SFB 1294 with Felix Otto - Effective behavior of random media
Felix Otto, Max-Planck-Institut für Mathematik in den Naturwissenschaften, Leipzig, Germany Campus Griebnitzsee, Building 6, lecture hall H0310:15 -11:15
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 ›Assimilating data with outer probability measures
Jeremie Houssineau, University of Warwick, UK 2.9.2.2213:00 - 14:00
Although using probability distributions to model uncertainty is by far the most widely accepted approach, it does not come without inconveniences. A…
more ›All-at-once versus reduced formulations of inverse problems and their regularization
Barbara Kaltenbacher, Alpen-Adria Universität Klagenfurt 2.28.0.10810:15 - 11:15
Parameter identification problems typically consist of a model equation, e.g. (systems of) ordinary or partial differential equations, and the…
more ›Kabinettwatch: Wer wird was im Bundeskabinett?
Julia Fleischer, Universität Potsdam 2.09.0.1210:15 - 11:15
Talk by Julia Fleischer and Markus Seyfried
Das Projekt Kabinettwatch beschäftigt sich mit der Vorhersage der Zusammensetzung des Bundeskabinetts…
more ›An extension of Dobrushin's uniqueness criterion and applications to Gibbs point processes
Tanja Pasurek, Universität Bielefeld, Germany 2.09.0.1312:00
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 ›Downscaling Data Assimilation Algorithm for Dissipative Evolution Models Employing Coarse Mesh Observables
Edriss Titi, Texas A&M University, USA 2.09.0.1210:15 - 11:15
One of the main characteristics of infinite-dimensional dissipative evolution equations, such as the Navier-Stokes equations and reaction-diffusion…
more ›Co-organized Training School on Data Assimilation: Theory, Algorithms, and Applications
Université de Montréal08.-10.05.2019
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 ›Potsdamer Tag der Wissenschaften 2019
Campus Fachhochschule Potsdam
Der Potsdamer Tag der Wissenschaften 2019 findet dieses Jahr auf dem Campus der Fachhochschule Potsdam statt. Wir werden mit dem SFB natürlich auch…
more ›Co-organized workshop - Data Assimilation: Methodology and Application
University of Montreal15.05-17.05.2019
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 ›Non–linear functionals preserving normal distribution and their asymptotic normality
Linda Khachatryan, Institute of Mathematics of the National Academy of Science of RA, Yerevan, Armenia 2.09.0.1312:00
We introduce sufficiently wide classes of non-linear functionals preserving normal (Gaussian) distribution and establish various conditions under…
more ›Engineering of Chemical Complexity - 10th International Conference
Seminaris See Hotel Potsdam03.-06.06.2019
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 ›Ecological Validity of the N170 – a mobile EEG study
Peter König, Universität Osnabrück 2.28.0.10810:15 - 11:15
Are event related potentials, well investigated under laboratory
conditions, a signature of cortical processing during natural behavior?
We…
Probabilistic Linear Solvers
Jon Cockayne, University of Warwick, UK 2.14.0.2110:15 - 11:15
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 ›Neuronal networks and functional connectivity
Patricia Reynaud-Bouret , CNRS/University of Nice, France 2.28.0.10810:15 - 11:15
After giving a short introduction to biological neuronal networks and their
main properties, I will explain why neurobiologists are interested by
…
'Speed- Dating' am Bauzaun
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 ›Kalman-Wasserstein Gradient Flows
Franca Hoffmann, California Institute of Technology, USA 2.09.0.12/1310:15 - 11:15
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 ›Fully Hyperbolic Convolutional Neural Networks
Eldad Haber, The University of British Colombia, Canada 2.28.0.10810:15-11:15
Convolutional Neural Networks (CNN) have recently seen tremendous success in various computer vision tasks. However, their application to problems…
more ›Applied Data Assimilation: diabetes phenotyping/forecasting + hybrid machine learning approaches
Matthew Levine, California Institute of Technology, USA 2.09.0.1210:15 - 11:15
Methods from data assimilation, inverse problems, and machine learning have shown exciting potential for transforming biomedicine.
First, I will show…
more ›Efficient implementation of an iterative ensemble smoother for big-data assimilation and reservoir history matching
Geir Evensen, NORCE Norwegian Research Centre, Norway 2.28.0.10810:15 - 11:15
Raanes et al. (2019) revised the iterative ensemble smoother of Chen and Oliver (2013), denoted Ensemble Randomized Maximum Likelihood (EnRML), using…
more ›What is the Lagrangian for Nonlinear Filtering?
Prashant Mehta, University of Illinois, USA 2.28.0.10210:15 - 11:15
There is a certain magic involved in recasting the equations in Physics, and the algorithms in Engineering, in variational terms. The most classical…
more ›Stellar Astrophysics: the power of simultaneous high resolution stellar spectroscopy, polarimetry and velocimetry. - Rotation, activity and stellar magnetic fields in the A0 standard star Vega
Torsten Böhm, Université de Toulouse 2.9.0.1211:00 - 12:00
Neo-Narval at TBL/Pic du Midi (France) will be the first instrument working simultaneously in high resolution spectroscopy, polarimetry and…
more ›Ensemble Data Assimilation for Coupled Models of the Earth System
Lars Nerger, Alfred-Wegener-Institute, Helmholtz Centre for Polar and Marine Science, Bremerhaven, Germany 2.9.0.1210:15- 11:15
Coupled models simulate different compartments of the Earth system as well as their interactions. For example coupled ocean-biogoechemical models…
more ›I, Scientist Conference
Strasse des 17. Juni 135
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 ›SFB 1294 Annual Meeting 2019
3.06.H01 and S139:00 - 6:00
The annual meeting of SFB1294 will take place on the 23rd of September at the Campus Griebnitzsee.
Please find more information here.
more ›Jamboree 2019 (internal - IRTG and associated members)
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 ›2nd Kalman Lecture
Karen E. Willcox, Institute for Computational Engineering and Sciences, The University of Texas, USA 2.25.F1.0110:15 - 11:15
Predictive data science for physical systems: From model reduction to scientific machine learning
Achieving predictive data science for physical…
more ›Women-Networking-Meeting
Karen E. Willcox, Oden Institute for Computational Engineering and Sciences 2.29.2.572-4 pm
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 ›Data assimilation for the stochastic one-layer rotating shallow water system driven by transport noise
Oana Lang, Imperial College London, UK 2.14.0.0910:15 -11:15
In this talk we will present a data assimilation problem based on a new stochastic rotating shallow
water (SRSW) signal and an adaptive tempering…
Numerical integrators for the Hamiltonian Monte Carlo sampler
Jesus Sanz-Serna, Universidad Carlos III de Madrid, Spain 2.28.0.10810:15 - 11:15
The Hamiltonian Monte Carlo (HMC) method is a widely used Markov Chain Monte Carlo algorithm that offers the possibility of combining high acceptance…
more ›Regret analysis of the Piyavskii-Shubert algorithm
Sébastien Gerchinovitz, IRT Saint-Exupéry, Toulouse, France 2.12.0.01 (large Lecture hall)10:15 - 11:15
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 ›Distances for discretely observed jump processes and applications in nonparametric statistics
Ester Mariucci, Universität Potsdam 2.28.0.10810:15 - 11:15
The concept of distance is ancient and ubiquitous. Being able to quantify the distance between objects has important applications everywhere in…
more ›Christmas CoderDojo
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.
Come…
more ›Using data assimilation, systems physiology, and healthcare data to forecast physiology in an intensive care unit: why it is important, what is possible, what is hard, and the state of the art
David Albers, University of Colorado, USA 2.9.2.2215:00 - 16:00
Bayesian Inference Made Easy via Auxiliary Augmentations
Theo Galy-Fajou, Technische Universität Berlin 2.14.0.26/2712:30 - 14:00
Bayesian Inference is almost always a very challenging mathematical and computational problem. In the context of Gaussian Process, only a Gaussian…
more ›Low dimensional approximation of weak constraint variational data assimilation
Melina Freitag, Universität Potsdam 2.28.0.10810:15 - 11:15
Weak constraint four-dimensional variational data assimilation is an important method for incorporating data (typically observations) into a model.…
more ›