SFB 1294
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    • Research Area A Theory and Algorithms
      • A01 Statistics for stochastic partial differential equations
      • A02 Long-time stability and accuracy of ensemble transform filter algorithms
      • A03 Sequential and adaptive learning under dependence and non-standard objective functions
      • A04 Nonlinear statistical inverse problems with random observations
      • A05 Combining non parametric statistical and probabilistic approaches for inference on cloud-of-points data
      • A06 Approximative Bayesian inference and model selection for stochastic differential equations (SDEs)
      • A07 Model order reduction for Bayesian inference
    • Research Area B Algorithms and Applications
      • B02 Inferring the dynamics underlying protrusion-driven cell motility
      • B03 Parameter inference and model comparison in dynamical cognitive models
      • B04 Parametric and nonparametric modeling of spatiotemporal change patterns in seismicity using Hawkes processes
      • B05 Attention selection and recognition in scene-viewing
      • B06 Novel methods for the 3D reconstruction of the dynamic evolution of the Van Allen belts using multiple satellite measurements
      • B07 Inferring active particle dynamics by data assimilation
      • B08 Continuous learning by integrating reinforcement learning and data assimilation to individualise drug treatments
      • B09 Neural network modelling of brain responses during language comprehension
    • Research Area Z Common Activities
      • Z03 Information Infrastructure for data assimilation
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  1. Data assimilation - the collaborative research centre SFB1294
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Colloquia in 2022

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14Jan2022

Machine Learning in the context of drift

Barbara Hammer, Universität Bielefeld online via Zoom10:15 - 11:30

One of the main assumptions of classical machine learning models is that data are generated by a stationary concept. This is often violated due to…

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29Apr2022

Time scales in early warnings: a probabilistic approach

Susanne Ditlevsen, Department of Mathematical Sciences, University of Copenhagen, Denmark Campus Golm, Building 28, Room 0.10810:15 - 11:15

In recent years there has been an increasing awareness of the risks of collapse or tipping points in a wide variety of complex systems, ranging from…

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17Jun2022

Collective dynamics in the social and data science

Marie-Therese Wolfram , University of Warwick, UK Campus Golm, Building 28, Room 0.10810:15 - 11:30

Collective dynamics can be observed in many situations in our daily lives, for example the motion of bird flocks, the formation of directional lanes…

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01Jul2022

Additional Colloquium with our Mercator Fellows Sean Meyn and Youssef M. Marzouk

Sean Meyn and Youssef M. Marzouk , University of Florida and MIT Campus Golm, Building 28, Room 0.10810:30 - 11:30

Our Mercator Fellows Sean Meyn and Youssef M. Marzouk will visit us in the week from June 27th to July 1st. We will use this opportunity to have an…

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08Jul2022

Symmetry-informed model inference for active matter

Jörn Dunkel, Massachusetts Institute of Technology, USA Campus Golm, Building 28, Room 0.10810:15 - 11:15

Recent experimental advances enable high-resolution observations of biological and synthetic active matter across a wide range of length and time…

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30Aug2022

5th Kálmán Lecture with Nicolas Chopin

Nicolas Chopin , ENSAE, Institut Polytechnique de Paris, France Campus Golm, Building 25, Room F0.0110:15-11:30

Nested cubing integration: how to get a O(N{-10}) error when you compute your favourite integral

This talk will explain why computing integrals…

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21Oct2022

Using 'Data-Intelligence' to Understand the Physics of the Inner Magnetosphere

Geoff D. Reeves, Los Alamos National Laboratory, USA Campus Golm, Building 28, Room 0.10810:15 - 11:15

The Earth’s magnetosphere is a complex system composed of about a dozen major subsystems that are not only complex in-and-of themselves but…

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11Nov2022

Challenges of data driven modelling in cardiac dynamics

Ulrich Parlitz, Universität Göttingen Campus Golm, Building 28, Room 0.10810:15 - 11:15

The myocardium is an electrically excitable medium that supports various types of excitation waves, including stable or chaotic spiral waves that…

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09Dec2022

One-shot Learning of Surrogates in PDE-constrained Optimization Under Uncertainty

Claudia Schillings, Freie Universität Berlin Campus Golm, Building 28, Room 0.10810:15 - 11:15

Approaches to decision making and learning mainly rely on optimization techniques to achieve “best” values for parameters and decision variables. In…

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Current Colloquia
  • Overview Colloquia Summer Term 2025

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Institute of Mathematics

SFB 1294 – Data Assimilation
Institute of Mathematics
Karl-Liebknecht-Str. 24-25
14476 Potsdam - OT Golm

SFB1294[at]uni-potsdam.de
+49 331 977 203137

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