Events in 2024

Unlike traditional finite-dimensional stochastic differential equations, statistical models driven by SPDEs are predominantly singular, when the…

In this talk, I look at two examples regarding the numerical computation of spectra for infinite-dimensional non-self-adjoint operators. Two…

To grasp the meaning of words and their relationship to the outside world, higher cognitive processes unique to the human brain are at work. However,…

Date: February 8th & 9th, 2024

The workshop with Anna Royon-Weigelt covers basic aspects of communication, especially in intercultural contexts and…

The workshop with Anna Royon-Weigelt covers basic aspects of communication, especially in intercultural contexts and presents tools & models to…

The 2^nd SFB Data Think Tank will take place on February 14th and 15th, 2024 at the Wissenschaftsetage, Bildungsforum Potsdam. Please find the event…

Importance sampling is a Monte Carlo technique that estimates posterior expectations in Bayesian computation by sampling from a tractable proposal…

Self-organization of various cellular structures is of fundamental importance in morphogenesis during development of biological organisms. Our…

We begin with a class of particle filters (PFs) that can automatically tune their performance by the online evaluation of certain predictive…

Our IRTG Networking Meeting with Joaquín Miguez and David Albers provides a chance to talk about career, chances, and the challenges in academia.

We would like to use data collected from humans to forward our understanding of physiological mechanics and to improve human health. However, because…

The Jamboree 2023 for all members of the IRTG as well as associated members will take place from march 13th to 15th at the Waldhotel Berghof. This…

Our planet is undergoing an unprecedentedly rapid transformation. To predict future climate and environment dynamics, we have to learn from past…

Seminar talk followed by a young researcher network meeting.

Abstract:

The common solution techniques of the data assimilation problem typically…

We consider gradient flows with respect to the maximum mean discrepancy (MMD) of certain kernels. For the efficient computation, we propose slicing…

This seminar presented an overview of numerical modeling, data assimilation, and machine learning in understanding Earth's electron radiation belts.…

Earth’s Van Allen radiation belts, located in near-Earth space, are comprised of very energetic electrons and protons.  However, the origins of these…

Dr Martina Michalikova gives a two-day scientific writing workshop on the 6th and 7th of June 2024, from 9 a.m. - 5 p.m. 

Please bring the following…

Dr Martina Michalikova gives a two-day scientific writing workshop on the 6th and 7th of June 2024, from 9 a.m. - 5 p.m. 

Please bring the following…

The talk will be concerned with time-fractional master equations with random transition probabilities describing a heterogeneous population of random…

Stochastic differential equations (SDEs) offer a versatile tool for modeling real-world continuous-time dynamic systems with inherent noise and…

In this talk, I will present a unifed approach for the effect of fast rotation and dispersion as an averaging mechanism for regularizing and…

The CRC International Summer School 2024 will take place from September 16^th (arrival on the 15^th) to 20^th at the Lindner Hotels & Resorts Boltenhagen…

7th Kálmán Lecture with Martin Burger

The use of methods resembling (interacting) particle systems has gained a lot of interest for different tasks…

I have been working to understand complex phenomena in social sciences and biology utilizing dynamical systems models. In this seminar, I will talk…

We consider recovering an unknown function f from a noisy observation of the solution u_f  to a partial differential equation of the type Lu_f  = c(f, u_…

Gaussian processes (GP) are frequently used in Bayesian nonparametrics as a prior distribution on infinite dimensional functional parameters. However,…

The SIAM Chapter Seminar with Jan Szalankiewicz is an event open to all early career researchers and all Student, PhDs, and Postdocs are welcome.…

The need to know a few singular triplets associated with the largest singular values of a third-order tensor arises in data compression and extraction. This paper describes a new method for their computation using the t-product. Methods for deter mining a couple of singular triplets associated with the smallest singular values also are presented. The proposed methods generalize available restarted Lanczos bidiagonalization methods for computing a few of the largest or smallest singular triplets of a matrix. The methods of this paper use Ritz and harmonic Ritz lateral slices to determine accurate approximations of the largest and smallest singular triplets, respectively. Computed examples show applications to data compression and face recognition. more ›

Markov jump processes are continuous-time stochastic processes which describe dynamical systems evolving in discrete state spaces. These processes…

Leaving academia and looking for a job in the industry is an important and sometimes difficult step. This fundamental career training enables you to…

Leaving academia and looking for a job in the industry is an important and sometimes difficult step. This fundamental career training enables you to…

Modeling and inference in multivariate time series is central in statistics, signal processing, and machine learning. A fundamental question when…

Biological systems process information despite noise-corrupted input, often operating at physical limits. A prime example is chemotaxis, i.e., active…

Modelling the opinions of voters in a population has been studied for a long time. The Hegselmann-Krause model treats voters as having a continuous…