# All Colloquia

### Kick-off workshop

Please join us for the Kick-Off Workshop of SFB 1294, where members of our collaborative research center and invited guests will discuss the newest…

more ›### Stochastic Models of Gene Expression

Philippe Robert, INRIA, Paris 2.28.0.10810:15-11:45

Protein production is a key process of prokaryotic and eukaryotic cells consuming more that 80% of their resources. The cytoplasm of the cell being a…

more ›### Comparing deep neural networks against humans: Object recognition with weak signals

Felix Wichmann, Universität Tübingen, Germany 2.28.0.10810:15-11:45

The visual recognition of objects by humans in everyday life is typically rapid and effortless. Until very recently, animate visual systems were the…

more ›### Distributional Uncertainty in Uncertainty Quantification

Tim Sullivan, Zuse Institute Berlin and Freie Universität zu Berlin, Germany 2.28.0.10810:15-11:45

### Pharmacometrics: Analysing and understanding variability and uncertainty in clinical data

Charlotte Kloft, Freie Universität Berlin, Germany 2.28.0.10810:15-11:45

### Data Assimilation: Past, Present and Future

Michael Ghil, Ecole Normale Supérieure, Paris, France 2.28.0.10810:15-11:45

We introduce basic ideas and methods of data assimilation in meteorology and oceanography, and illustrate their progress from numerical weather…

more ›### On periodic signals in stochastic Hodgkin-Huxley models

Reinhard Höpfner, Universität Mainz, Germany 2.28.0.10810:15 - 11:45

We consider a stochastic Hodgkin-Huxley model where dendritic input -modelled as an autonomous SDE which depends on a deterministic T-periodic signal…

more ›### Approximate Kernel Embeddings of Distributions

Dino Sejdinovic, University of Oxford, UK 2.28.0.10810:15 - 11:45

Kernel embeddings of distributions and the Maximum Mean Discrepancy (MMD), the resulting probability metric, are useful tools for fully nonparametric…

more ›### Numerical Methods in Visual Computing: what we can learn from each other

Uri Ascher, University of British Columbia (UBC), Vancouver, Canada 2.28.0.10810:15 - 11:45

Visual computing is a wide area that includes computer graphics and image processing, where the “eyeball-norm” rules. I will discuss two case studies…

### A review of the Epidemic Type Aftershock Sequences (ETAS) model: 30 years of modeling seismicity

Maximilian Werner, University of Bristol, UK 2.28.0.10810:15 - 11:45

Earthquakes seldom come alone. They occur in temporal and spatial clusters, occasionally preceded by foreshocks, always followed by aftershocks, and…

more ›### 1st Kalman-Lecture of the SFB

Andrew Stuart, Caltech (California Institute of Technology), USA 2.27.0.0110:15- 11:45

**The Legacy of Rudolph Kalman**

In 1960 Rudolph Kalman published what is arguably the first paper to develop a systematic, principled approach to the…

more ›### Image-based modelling of problems in cell motility

Till Bretschneider, The University of Warwick, UK 2.28.0.10810:15 -11:45

Mathematical modelling has been key to understanding the mechanics of cell shapes and the theoretical principles behind the complex spatio-temporal…

more ›### Postponed - Equal-weight particle filters for high-dimensional geoscience applications

Peter Jan van Leeuwen, University of Readings, UK 2.28.0.10810:15 - 11:45

*This talk has been postponed- we will inform you about the new date in the Events section.*

Particle filters hold the promise of fully nonlinear data…

more ›### Piecewise-deterministic Markov chain Monte Carlo

Arnaud Doucet, Oxford University 2.28.0.10810:15 - 11:45

A novel class of continuous-time non-reversible Markov chain Monte Carlo (MCMC) based on piecewise-deterministic processes has recently emerged. In…

more ›### 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 ›### 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 ›### 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 ›### 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 ›### 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…

### 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

…

### 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 ›### 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 ›### 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 ›### 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 ›### 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 ›### Machine Learning for Enhanced Mobility

Katharina Morik, TU Dortmund, Germany 2.28.0.10810:15 - 11:15

Mobility is an important topic, because on the one hand, the global world requires mobility of people and goods, but on the other hand, we suffer from…

more ›### -cancelled- Variational Monte Carlo Methods for Classical Solution of Hamilton Jacobi Bellmann Equations

Reinhold Schneider, TU Berlin, Germany 2.28.0.10810:15 - 11:15

*- Unfortunatly this colloquium will be cancelled due to the current situation concering the Corona Virus -*

Suppose the PDE is cast in a variational…

more ›### Optimal sensor placement for the quantification of model uncertainty: A functional analysis perspective

Karen Veroy-Grepl, Eindhoven University of Technology online - details below10:15 - 11:15

We consider optimal sensor placement for inverse problems constrained by partial differential equations in which the model contains uncertainties,…

more ›### Statistical properties of deterministic dynamical systems and their applications in weather and climate forecasting

Georg Gottwald, University of Sydney online - details below10:15 - 11:15

The talk is concerned with recent results on statistical properties of deterministic dynamical systems. We will discuss the problem of finding…

more ›### Digital first, concerns second: Our power to change everyday life and the question of responsibility in algorithm development

Ulrike Lucke & Ina Müller , Universität Potsdam online - details below10:15 -11:45

Developers of IT systems have enormous power. - And therefore also a great responsibility. This applies especially to the ideas and concepts about the…

more ›### 3. Kalman Lecture with Sara van de Geer

Sara van de Geer, ETH Zürich, Switzerland 10:15 - 11:15

**The Lasso revisited: entropy bounds and dual certificates**

The Lasso is least squares estimation with an ℓ_{1}-penalty on the coeffcients. In this talk…

### Posterior consistency in Bayesian inference with exponential priors

Masoumeh Dashti, University of Sussex online10:15 - 11:15

We consider the problem of recovering the underlying truth in a nonparametric Bayesian inference setting with p-exponential priors. These priors are a…

more ›### Joint Colloquium of SFB 1287 and SFB 1294 with Nikolaus Kriegeskorte

Nikolaus Kriegeskorte, Zuckerman Institute, Columbia University New York online15:00

**Cognitive computational neuroscience of vision**

To learn how cognition is implemented in the brain, we must build computational models that can…

more ›### Estimatig the interraction functions and the graph of interactions in non linear multivariate Hawkes processes using Bayesian nonparametric methods

Judith Rousseau, University of Oxford, UK tba10:15 - 11:15

Please find the abstract to the talk here.

Invited by Markus Reiß

***Due to the current pandemic this colloquium will be conducted online. We…

more ›### cancelled - Kayo Ide

Kayo Ide, University of Maryland online15:00 - 16:00

Unfortunately we had to cancel this Colloquium.

invited by Yuri Shprits

***Due to the current pandemic this colloquium will be conducted online.…

more ›### MaRDI - The Mathematical Research Data Initiative within the NFDI

Karsten Tabelow, WIAS Berlin online10:15 - 11:15

Like in all scientific disciplines research data in mathematics has become vast, it is complex and multifaceted, and, through the successful…

more ›### Likelihood-based estimation, model selection, and forecasting of integer-valued trawl processes

Almut Veraart, Imperial College London online10:15 - 11:15

The class of integer-valued trawl processes has recently been introduced for modelling univariate and multivariate integer-valued time series with…

more ›### Understanding and predicting global biodiversity dynamics

Damaris Zurell, University of Potsdam online10:15 - 11:15

Almost 200 years ago, Alexander von Humboldt said in his famous Cosmos series that „all natural forces are linked together, and made mutually…

more ›### Data assimilation simulation in cell biophysics problems

Tatsuo Shibata, RIKEN Center for Biosystems Dynamics Research, Japan online10:15 - 11:15

Cellular signal transduction system is a complex reaction network consisting of many elements, which allows cells to respond appropriately to…

more ›### 4th Kalman Lecture with Mihaela van der Schaar

Mihaela van der Schaar, University of Cambridge, UK 3.06.H05 (Campus Griebnitzsee, building 6, lecture hall 05)10:15 - 11:30

**Quantitative epistemology: conceiving a new human-machine partnership**

Quantitative epistemology is a new and transformational area of research…

more ›### Coarse-graining of complex systems with parameter uncertainties

Carsten Hartmann, Brandenburgische Technische Universität Cottbus-Senftenberg 2.28.0.108 (builing 28, room 0.108)10:15 - 11:30

Complex dynamical systems like molecular systems or stochastic climate systems often involve a variety of different time and length scales. We propose…

more ›### Towards Interactive AI-based Decision Support Systems

Enkelejda Kasneci, University of Tübingen 2.28.0.108 (building 28, room 0.108)10:15 - 11:30

The use of AI has improved computer-aided diagnosis systems in many areas. However, the underlying models are often black boxes that allow the user…

more ›### Analyzing Multi-Messenger Astronomy Data to reveal fundamental Properties of the Cosmos

Tim Dietrich, University of Potsdam 2.28.0.108 (building 28, room 0.108)10:15 - 11:30

Neutron stars are among the most compact objects in the Universe and the detection of gravitational waves and electromagnetic signals from the merger…

more ›### 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…

more ›### 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…

more ›### 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…

more ›### 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…

more ›### 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…

more ›### 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…

more ›### 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…

more ›### 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…

more ›### 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…

more ›### Deep Learning Statistical Tests for Genetic Studies of Image Phenotypes

Christoph Lippert, HPI - Digital Health - Machine Learning Campus Golm, Building 28, Room 0.10810:15 - 11:15

In my talk I will give an overview on our ongoing work on the development of methods for finding associations between variation that is encoded in…

more ›### Understanding and Applying Reinforcement Learning

Claire Vernade, DeepMind Campus Golm, Building 28, Room 0.10810:15 - 11:30

Reinforcement Learning (RL) builds learning systems from the ground up by trial and error: as the agent takes actions, they receive rewards and…

more ›### Seasonal forecasting - opportunities and challenges

Antje Weisheimer, European Centre for Medium-Range Weather Forecasts 2.28.0.10810:15 - 11:30

Seasonal forecasts aim to provide physically-based probabilistic outlooks of the climate conditions for the coming seasons. We create them by…

more ›### Conservative SPDEs as fluctuating mean field limits of stochastic gradient descent

Vitalii Konarovskyi, University of Bielefeld 2.28.0.10810:15 - 11:30

My talk will be devoted to the convergence of stochastic interacting particle systems in the mean-field limit to solutions of conservative SPDEs. We…

more ›### On the design of scientific visualization

Nicolas Rougier, INRIA, Bordeaux 2.9.2.2214:00 - 15:30

*This is a co-organized colloquium with the Institute of Mathematics of the UP*

Scientific visualization is classically defined as the process of…

more ›### Research data in mathematics, FAIRness, and the MaRDI consortium

Tabea Krause & Tabea Bacher, MaRDI 2.28.0.10810:15 - 11:30

In this talk we will introduce a definition of 'research data' in mathematics which encompasses all digital objects you handle in the process of doing…

more ›### Model Order Reduction in Data Assimilation

Karen Veroy-Grepl, Eindhoven University of Technology 2.28.0.10810:15 - 11:30

The use of model order reduction techniques in combination with data assimilation methods for estimating the state of systems has been of great…

more ›### 6th Kálmán Lecture with Richard Nickl

Richard Nickl, University of Cambridge 3.06.H0209:30 - 10:30

This year, Kalman Lecture will be held by Richard Nickl from University of Cambridge. His talk on 'On posterior consistency in non-linear Bayesian…

more ›### On polynomial-time mixing for high-dimensional MCMC in inverse problems

Sven Wang, HU Berlin 2.28.0.10810:15-11:15

We consider the problem of generating random samples from high-dimensional posterior distributions. We will discuss both (i) conditions under which…

more ›### Discretization-adaptive regularization of inverse problems

Tim Jahn2.28.0.10810:15-11:15

We consider linear inverse problems under white (non-Gaussian) noise. For the solution we have to discretize the problem, and we consider a sequence…

more ›### Uncertainty Quantification and Attribution in Models of the Earth System

Thorsten Wagener, University of Potsdam 2.28.0.10810:15-11:15

The recent State of Global Water Resources report by the World Meteorological Organization concluded that the hydrological cycle is spinning out of…

more ›### 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 ›### 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 ›### 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 ›### 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 ›### 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 ›### 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 ›### 7th Kálmán Lecture with Martin Burger

Martin Burger, Helmholtz Imaging 3.06.H0210:15 - 11:45

tba

more ›### CRC Colloquium with Botond Tibor Szabo

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more ›### CRC Colloquium with Lothar Reichel

Lothar Reichel, Kent State University tba10:15 - 11:45

tba

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