# Events in 2018

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

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

### Generative Deep Learning

Sebastian Stober, University of Potsdam 2.28.0.104

A short introduction into Deep Learning will be followed by an overview on Deep Generative Models. This will include energy based models (Boltzmann…

more ›### Multi-stability & Fixational Eye Movements: an energy potential modeling approach

Kevin Parisot, GIPSA-Lab Grenoble 2.14.4.15/1610:15 - 11:45

### Financial Market History: Reflections on the Past for Applied Mathematician today

Nicole El Karoui, Ecole Polytechnique, France 2.9.0.129:15 - 10:15

After World War II, the Bretton Woods Conference designed a new international

monetary order, establishing the supremacy of the dollar, while…

### Minimax optimality in Robust Detection of disorder times in Doubly Stochastic Poisson Process

Nicole El Karoui, Ecole Polytechnique, Franc 2.9.0.1210:45 - 11:45

We consider the minimax quickest detection problem of an unobservable time of proportional

change in the intensity of a doubly-stochastic Poisson…

### 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 ›### Machine Learning for Sensor Fusion in Positioning and Navigation

Arno Solin, Aalto University, Finland 2.28.0.10410:00 - 11:00

Low-cost and noisy sensor sources in modern smartphones introduce both interesting possibilities for new applications, and challenges for inference…

more ›### Data Assimilation in Autonomous Vehicles

Erin Linebarger, University of Utah, USA 2.28.0.10411:00 - 12:00

Guidance of autonomous vehicles (AVs) poses different challenges for data assimilation methods than geophysical applications, requiring novel…

more ›### Improving MCMC samplers with spectral theory and optimal transport

Nikolas Nüsken, Imerpial College London, UK 2.28.0.10410:15-11:45

Markov Chain Monte Carlo methods are popular tools in Bayesian statistics and molecular dynamics to draw samples from a given probability…

more ›### On stability of a class of Kalman - Bucy filters for systems with non - linear dynamics

Toni Karvonen, Aalto University, Finland 2.28.0.10410:15-11:15

This talk discusses stability of a class of Kalman-Bucy filters (including the classical extended Kalman-Bucy filter) for continuous-time systems with…

more ›### Composing stochastic quasi-Newton-Type algorithms

Thomas Schön, Uppsala University 2.28.0.10413:00 - 14:00

In this talk I will focus on one of our recent developments where we show how the Gaussian process (GP) can be used to solve stochastic optimization…

more ›### Spring School 2018

18.03.–22.03.

The SFB will organize annually a Spring School during which all members of the SFB learn about recent scientific advances from our guest speakers and…

more ›### Women-Networking-Lunch

Our first SFB Women-Networking-Lunch with Prof. Dr. Carola Schönlieb will take part during the SFB SpringSchool and provide a chance to talk about…

more ›### The Intrinsic Geometry of Scale - Free Networks

Tobias Friedrich, Hasso Plattner Institute 2.09.0.1310:15-11:15

The node degrees of large real-world networks often follow a power-law distribution. Such scale-free networks can be social networks, internet…

more ›### Zukunftstag 2018

Campus Golm, Haus 29

Im Rahmen des Zukunftstages sollen Schüler der 7. bis 10. Klasse eine Chance bekommen Einblicke in geschlechteruntypische Berufe zu erhalten. Dazu…

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 ›### Thermodynamic limit and phase transitions in non-cooperative games: some mean-field examples

Paolo dai Pra, University of Padua 2.09.0.1316:15 - 17:45

In stochastic dynamics inspired by Statistical Mechanics the interaction between different particles, or agents, is usually …

### Potsdamer Tag der Wissenschaften

Campus Golm, Haus 28- Foyer rechts und Seminarraum 0.10413:00 - 20:00

Der Potsdamer Tag der Wissenschaften 2018 findet dieses Jahr auf dem Campus Golm statt. Wir werden mit dem SFB natürlich auch vertreten sein! Besuchen…

more ›### A nonparametric estimation problem for linear SPDEs

Randolf Altmeyer/ Markus Reiß, HU Berlin WIAS, Erhard-Schmidt Hörsaal, Mohrenstraße 39, 10117 Berlin10:00 - 12:30

It is well-known that parameters in the drift part of a stochastic ordinary differential equation, observed continuously on a time interval [0, T ],…

### I, Scientist Conference

Bunsen Saal, Volmerstraße 2, 12489 Berlin-Adlershof

We are happy to support the '<link https: www.iscientist.de _blank>I, Scienstist' Conference on gender, career paths and networking, which will take place on the 25th and 26th of May this…

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 ›### Measures for diffusion, ergodicity & ageing

Ralf Metzler, Universität Potsdam 2.09.0.1310:15 - 11:45

After a short introduction into the history of Brownian motion I will present

the stochastic motion in several physical systems, in particular with…

### Parameter estimation problems for parabolic SPDEs

Igor Cialenco, Illinois Institute of Technology Weierstrass-Institute for Applied Analysis and Stochastics, Erhard-Schmidt-Hörsaal, Mohrenstraße 39, 10117 Berlin10:00 -12:30

In the first part of the talk we will discuss the parameter estimation problem using Bayesian approach for the drift coefficient of some linear …

more ›### Lange Nacht der Wissenschaften

Während der Langen Nacht der Wissenschaften ist der SFB 1294 mit seinem Teilprojekt <link>B06 am GFZ auf dem Telegrafenberg/in der Behlertstraße 3a…

more ›### Overview on stochastic models, McKean-Vlasov dynamics and their applications

Jean-Francois Jabir, National Research University Higher School of Economics, Moscow, Russia

This seminar aims to give a broad and straightforward presentation on fundamental aspects related to the theory and application of continuous-time…

more ›### Finite or infinite predictability horizon?

Tsz Yan Leung, University of Readings, UK 2.09.0.1310:15-11:00

It is well-accepted that the chaotic nature of atmospheric dynamics imposes an inherent finite limit of predictabil- ity. The idea originated from a…

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…

### Balancing robustness and accuracy in high resolution hydrological models

Sabine Attinger, Universität Potsdam 2.09.0.1310:15-11:45

Anthropogenic warming is anticipated to impact the hydrological cycle tremendously in the future. However, projections are accompanied by large…

more ›### 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 ›### Entropic and optimal transport

Christian Léonard, Université Paris Nanterre 2.09.2.2217:15

The Schrödinger problem is an entropy minimization problem on a set of path measures with prescribed initial and final marginals. It arises from a…

more ›### Localization for high dimensional data assimilation and MCMC

Xin Tong, National University of Singapore 2.09.0.1310:15 - 11:45

High dimensionality often appears in data assimilation and Bayesian sampling problems. It is prohibitive for most classical computational…

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 ›### Integrated approaches to investigate reactive transport processes in soil and groundwater

Irina Engelhardt, Technische Universität Berlin 2.09.0.1210:15 - 11:45

The presentation gives an overview about experimental and numerical approaches to analyze reactive transport processes in soils and groundwater.…

more ›### Postponed due to illness- Kabinettwatch: Wer wird was im Bundeskabinett?

Markus Seyfried, Universität Potsdam, Germany 2.9.0.1410:15 - 11:45

This talk is postponed due to illness. The new date will be announced under events.

Dieser Vortrag wird krankheitsbedingt leider nicht statt finden.…

more ›### Talk moved to Friday, 09.11. 10:15 am - Image-based modelling of problems in cell motility

Till Bretschneider, The University of Warwick, UK 2.28.2.12310:15 -11:45

*This talk has been moved to Friday, the 09.11. at 10:15 in lecture hall 0.108, building 28, Campus Golm.*

Mathematical modelling has been key to…

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 ›### Hamiltonian Monte Carlo methods on Hilbert spaces

Jakiw Pidstrigach, University of Bonn 2.9.0.1410:15 - 11:00

When sampling measures on Hilbert spaces one option is to first discretize the space and then apply standard Markov Chain Monte Carlo methods. This…

more ›### A Causal approach to spring-to-summer climate variability in the Southern Hemisphere

Elena Saggioro, University of Reading, UK 2.9.0.1411:00 - 11:45

The coupling between stratospheric and tropospheric dynamics is currently a topic of major interest [1,2]. In the context of the Southern…

more ›### Dances with Drones: Using Google’s TFLite for Autonomous Control of Aerial Drones by Gesture Recognition

Erin Linebarger, University of Utah (US) and SFB 1294, University of Potsdam 2.9.0.1410:15 - 11:45

Scientific app development for implementing robotics controllers and machine learning algorithms has become much easier with the introduction of tools…

more ›### Hawkes Processes with Sigmoid Gaussian Excitations

César Ojeda, Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS 2.9.0.1411:00 - 11:45

We propose a Hawkes point process model for point processes where the excitations are modulated via a Gaussian process prior with a sigmoid link…

more ›### Neural Particle Filter and Beyond

Simone Surace, University of Zürich, ETH Zürich and University of Bern, Switzerland 2.9.0.1410:15 - 11:00

Perception can be seen as unconscious inference in a dynamically changing environment and formalized as nonlinear Bayesian filtering. A heuristic…

more ›### FEAT: Fixation control by Evidence Accumulation to Threshold

Casimir Ludwig, University of Bristol 2.14.4.06/0716:15

Models of eye movement control differ in the extent to which fixation duration is controlled directly by…

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 ›### Validity of linear response theory in high-dimensional deterministic dynamical systems

Caroline Wormell, University of Sydney and SFB visiting PhD research fellow 2.09.0.1310:15-11:45

Many physical problems, most importantly the quantification of climate change, involve estimating the response of a deterministic chaotic dynamical…

more ›