Events in 2024
Statistical analysis of SPDEs – exploring singularities
Igor Cialenco, Illinois Institute of Technology 2.28.0.10810:15-11:15
Unlike traditional finite-dimensional stochastic differential equations, statistical models driven by SPDEs are predominantly singular, when the…
more ›Computing Spectra of Infinite-dimensional operators - what do we need?
Catherine Drysdal, University of Birmingham 2.9.2.2212:15 - 13:30
In this talk, I look at two examples regarding the numerical computation of spectra for infinite-dimensional non-self-adjoint operators. Two…
more ›From Neurons to Symbolic Representation and Rapid Learning in Mind and Brain: A Brain-Constrained Neural Model
Rosario Tomasello, FU Berlin 2.28.0.10810:15-11:15
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,…
more ›IRTG Workshop: Conflict Management (Part I)
Anna Royon-Weigelt2.29.0.25/0.2610:00 - 18:00
Date: February 8th & 9th, 2024
The workshop with Anna Royon-Weigelt covers basic aspects of communication, especially in intercultural contexts and…
more ›IRTG Workshop: Conflict Management (Part II)
Anna Royon-Weigelt2.29.0.25/0.2610:00 - 18:00
The workshop with Anna Royon-Weigelt covers basic aspects of communication, especially in intercultural contexts and presents tools & models to…
more ›3rd SFB Data Think Tank
Potsdamer Wissenschaftsetage, Bildungsforum
The 2nd SFB Data Think Tank will take place on February 14th and 15th, 2024 at the Wissenschaftsetage, Bildungsforum Potsdam. Please find the event…
more ›Exploiting Independence for Optimal Gaussian Importance Sampling
Stefan Heyder, TU Ilmenau 2.9.1.2210:00 - 11:00
Importance sampling is a Monte Carlo technique that estimates posterior expectations in Bayesian computation by sampling from a tractable proposal…
more ›Self-organization of dynamic network structure of mesoderm cells
Mitsusuke Tarama, Kyushu University 2.28.1.00113:00 - 14:30
Self-organization of various cellular structures is of fundamental importance in morphogenesis during development of biological organisms. Our…
more ›Random dynamical models & invariant uniform statistics: applications to particle filtering, model assessment and machine learning
Joaquín Miguez, Universidad Carlos III de Madrid 2.29.0.25/0.2613:00 - 14:00
We begin with a class of particle filters (PFs) that can automatically tune their performance by the online evaluation of certain predictive…
more ›IRTG Networking Meeting
Joaquín Miguez & David Albers 2.29.0.25/0.2614:00 - 15:00
Our IRTG Networking Meeting with Joaquín Miguez and David Albers provides a chance to talk about career, chances, and the challenges in academia.
more ›Inverse problems, systems physiology, and human health: an interdisciplinary survey of three foundational problems
David Albers, University of Colorado, USA 2.9.2.2210:15 - 11:30
We would like to use data collected from humans to forward our understanding of physiological mechanics and to improve human health. However, because…
more ›Jamboree 2024 - IRTG and associated members
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…
more ›Investigating time-series and spatial fields from environmental archives to inform about past and future dynamics of climate and biodiversity
Ulrike Herzschuh & Thomas Laepple, Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research 2.28.0.10810:15 - 11:45
Our planet is undergoing an unprecedentedly rapid transformation. To predict future climate and environment dynamics, we have to learn from past…
more ›A time-adaptive optimal control approach for 4D-var data assimilation problems governed by parabolic PDEs
Jannis Marquardt, TU Braunschweig 2.9.1.2215:00 - 17:30
Seminar talk followed by a young researcher network meeting.
Abstract:
The common solution techniques of the data assimilation problem typically…
more ›Kernel Methods in Generative Modeling
Gabriele Steidl, TU Berlin tba10:15 - 11:45
We consider gradient flows with respect to the maximum mean discrepancy (MMD) of certain kernels. For the efficient computation, we propose slicing…
more ›Reconstruction of electron radiation belts using numerical modeling, data assimilation and machine learning
Alexander Drozdov, University of California, Los Angeles 2.9.1.2210:00 - 12:00
This seminar presented an overview of numerical modeling, data assimilation, and machine learning in understanding Earth's electron radiation belts.…
more ›Design of OSE and OSSE for Earth’s radiation belts
Quintin Schiller, Space Science Institute 2.9.2.2210:30 - 12:00
Earth’s Van Allen radiation belts, located in near-Earth space, are comprised of very energetic electrons and protons. However, the origins of these…
more ›IRTG Workshop: Scientific Writing (Part I)
Dr Martina Michalikova, Writing Scientist Griebnitzsee, House 7, R. 1.27 - 1.2909:00 - 17:00
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…
more ›IRTG Workshop: Scientific Writing (Part II)
Dr Martina Michalikova, Writing Scientist Golm, Building 29, R. 0.2509:00 - 17:00
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…
more ›Random walks of heterogeneous population and ensemble self-reinforcement
Sergei Fedotov, University of Manchester 2.28.0.10810:15 - 11:45
The talk will be concerned with time-fractional master equations with random transition probabilities describing a heterogeneous population of random…
more ›Variational Inference for (Neural) SDEs Driven by Fractional Noise
Rembert Daems, Dynamics and Design Lab, Ghent University, Belgium 2.28.2.12310:30 - 12:00
Stochastic differential equations (SDEs) offer a versatile tool for modeling real-world continuous-time dynamic systems with inherent noise and…
more ›Is dispersion a stabilizing or destabilizing mechanism? Landau-damping induced by fast background flows
Edriss Titi , University of Cambridge 2.28.0.10810:15 - 11:45
In this talk, I will present a unifed approach for the effect of fast rotation and dispersion as an averaging mechanism for regularizing and…
more ›International Summer School 2024
Lindner Hotels & Resorts Boltenhagen16.09.-20.09.2024
The CRC International Summer School 2024 will take place from September 16th (arrival on the 15th) to 20th at the Lindner Hotels & Resorts Boltenhagen…
more ›Particle Methods in Machine Learning and Inverse Problems
Martin Burger, Helmholtz Imaging 3.06.S1814:30 - 16:00
7th Kálmán Lecture with Martin Burger
The use of methods resembling (interacting) particle systems has gained a lot of interest for different tasks…
more ›Linear methods for non-linear inverse problems
Botond Tibor Szabo, Bocconi University, Italy 2.9.2.2214:00 - 16:00
We consider recovering an unknown function f from a noisy observation of the solution uf to a partial differential equation of the type Luf = c(f, u…
more ›Scalable methods for Gaussian process regression
Botond Tibor Szabo, Bocconi University, Italy 2.28.0.10810:15 - 11:45
Gaussian processes (GP) are frequently used in Bayesian nonparametrics as a prior distribution on infinite dimensional functional parameters. However,…
more ›SIAM Chapter Seminar with Jan Szalankiewicz
Jan Szalankiewicz, TU Berlin Golm, House 9, Room 1.2216:00
The SIAM Chapter Seminar with Jan Szalankiewicz is an event open to all early career researchers and all Student, PhDs, and Postdocs are welcome.…
more ›A tensor bidiagonalization method for singular value decomposition of third order tensors
Lothar Reichel, Kent State University 2.28.0.10810:15 - 11:45
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 ›
Workshop: Push Your Career outside Academia – Part I Job Interview (online)
Heidi Störr, Push Your Career - Career Consultancy Online09:00-12:30
Leaving academia and looking for a job in the industry is an important and sometimes difficult step. This fundamental career training enables you to…
more ›Workshop: Push Your Career outside Academia – Part II: Salary (online)
Heidi Störr , Push Your Career - Career Consultancy Online09:00-12:30
Leaving academia and looking for a job in the industry is an important and sometimes difficult step. This fundamental career training enables you to…
more ›Bayesian chemotaxis: Information theory of chemotaxis agents combining spatial and temporal gradient-sensing
Benjamin M. Friedrich, Cluster of Excellence Physics of Life, Faculty of Physics, Center for Advancing Electronics Dresden (cfaed), TU Dresden 2.28.0.10810:15 - 11:45
Biological systems process information despite noise-corrupted input, often operating at physical limits. A prime example is chemotaxis, i.e., active…
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