# Presentations

Here you can find the presentations from the SFB events such as Colloquia and Seminars. The presentations are being made available for the public with permission of the speakers.

## Colloquia

## 2019

**Specification of the Near-Earth Space Environment using Data Assimilation Techniques**Presentation by Ludger Scherliess, Utah State University, USA [PDF]

## 2018

**Approximate Kernel Embeddings of Distributions**Presentation by Dino Sejdinovic, University of Oxford, UK [PDF]

**Numerical Analysis in Visual Computing: what we can learn from each other**Presentation by Uri Ascher, University of British Columbia, Canada [PDF]

**The Epidemic Type Aftershock Sequence (ETAS) Model**Presentation by Maximillian Werner, University of Bristol, UK

**Piecewise-Deterministic MCMC**Presentation by Arnaud Doucet, University of Oxford, UK

**Image-based modelling of problems in cell motility**Presentation by Till Brettschneider, University of Warwick, UK [PDF]

## 2017

**Distributional Uncertainty in Uncertainty Quantification**Presentation by Tim Sullivan, Zuse Institute Berlin and Freie Universität zu Berlin, Germany [PDF]

**Comparing deep neural networks against humans: Object recognition with weak signals**Presentation by Felix Wichmann, Universität Tübingen, Germany [PDF]

## Seminars

## 2019

## 2018

**On stability of a class of Kalman - Bucy filters for systems with non-linear dynamics**Presentation by Toni Karvonen, Aalto University, Finland [PDF]

**Composing stochastic quasi-Newton-Type algorithms**Presentation by Thomas Schön, Uppsala University, Sweden [PDF]

**Localization for high dimensional data assimilation and MCMC**Presentation by Xin T. Tong, National University of Singapore, Singapore [PDF]

**A causal approach to circulation variability in the Southern Hemisphere**Presentation by Elena Saggioro, University of Reading and Imperial College London, UK [PDF]

**Dancing with Drones**Presentation by Erin Linebarger, University of Utah, USA, and visiting research fellow in the SFB 1294 [PDF]

## 2017

**Minimization-based sampling from the posterior distribution for inverse problems**Presentation by Dean Oliver, Uni Centre for Integrated Petroleum Research, Bergen, Norway [PDF]

**Modelling subsidence: On the use of the particle filter for geomechanical parameter estimation**Presentation by Femke Vossepoel, Delft University of Technology [PDF]

**A class of nonlinear filters induced by local couplings**Presentation by Alessio Spantini, Massachusetts Institute of Technology (MIT), USA [PDF]

## Kalman Lectures

## 2018

**1st Kalman Lecture by Andrew Stuart**The first Kalman Lecture took place on the 24th of August 2018, where Andrew Stuart from Caltech talked about the "The Legacy of Rudolf Kalman".

## Spring Schools

## 2018

**David Dereudre - Lectures 1 and 2**Introduction to the Theory of Gibbs Point Process - Finite Volume Gibbs Point Process

**David Dereudre - Lecture 3**Introduction to the Theory of Gibbs Point Process - Estimation of parameters

**David Dereudre - Lecture 4**Introduction to the Theory of Gibbs Point Process

**Youssef Marzouk - Lectures 1 and 2**Bayesian inference and MCMC foundations

**Youssef Marzouk - Lecture 3**Bayesian modeling and computation for inverse problems

**Youssef Marzouk - Lecture 4**Posterior approximations for Bayesian inverse problems

**Youssef Marzouk - Lecture 5**Bayesian optimal experimental design

**Carola Schönlieb - Lecture 1**Topics in Mathematical Imaging - Variational models & PDEs for imaging by examples

**Carola Schönlieb - Lecture 2**Topics in Mathematical Imaging - Derivation of these models & analysis

**Carola Schönlieb - Lecture 3**Topics in Mathematical Imaging - Numerical solution

**Carola Schönlieb - Lecture 4**Topics in Mathematical Imaging - Some machine leaning connections