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
2023
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Conservative SPDEs as fluctuating mean field limits of stochastic gradient descent
Presentation by Vitalii Konarovskyi, University of Bielefeld, Germany [PDF]
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Understanding and Applying Reinforcement Learning
Presentation by Claire Vernade, University of Tuebingen, Germany [PDF]
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Model Order Reduction in Data Assimilation
Presentation by Karen Veroy-Grepl, Eindhoven University of Technology, Netherlands [PDF]
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Reduced Basis Methods: From Key Ingredients to 4DVar
Presentation by Martin Grepl, RWTH Aachen, Germany [PDF]
2022
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Machine Learning in the context of drift
Presentation by Barbara Hammer, University of Bielefeld, Germany [PDF]
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Collective dynamics in the social and data science
Presentation by Marie-Therese Wolfram, University of Warwick, UK [PDF]
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Challenges of data driven modelling in cardiac dynamics
Presentation by Ulrich Parlitz, University of Göttingen, Germany [PDF]
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Using 'Data-Intelligence' to Understand the Physics of the Inner Magnetosphere
Presentation by Geoff Reeves, Los Alamos National Laboratory, US [PDF]
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Time scales in early warnings: a probabilistic approach
Presentation by Susanne Ditlevsen, Department of Mathematical Sciences, University of Copenhagen, Denmark [PDF]
2021
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Coarse-graining of complex systems with parameter uncertainties
Presentation by Carsten Hartmann, Brandenburgische Technische Universität Cottbus-Senftenberg, Germany [PDF]
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Understanding and predicting regional to global biodiversity dynamics
Presentation by Damaris Zurell, University of Potsdam, Germany [PDF]
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Analyzing Multi-Messenger Astronomy Data to reveal fundamental Properties of the Cosmos
Presentation by Tim Dietrich, University of Potsdam, Germany [PDF]
2020
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Optimal Sensor Placement for the Quantification of Model Uncertainty A functional analysis perspective
Presentation by Karen Veroy-Grepl, Eindhoven University of Technology, The Netherlands [PDF]
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Statistical properties of deterministic dynamical systems and their applications in weather and climate forecasting
Presentation by Georg Gottwald, The University of Sydney, Australia [PDF]
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Digital first, concerns second: Our power to change everyday life and the of responsibility in algorithm developmet
Presentation by Ulrike Lucke, University of Potsdam [PDF]
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Posterior consistency in Bayesian inference with exponential priors
Presentation by Masoumeh Dashti, University of Sussex, UK [PDF]
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Cognitive computational neuroscience of vision
Presentation by Nikolaus Kriegskorte, Zuckerman Mind Brain Behavior Institute, Columbia University, USA [PDF]
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Bayesian estimation of nonlinear Hawkes processes
Presentation by Judith Rousseau, Oxford University, UK [PDF]
2019
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Specification of the Near-Earth Space Environment using Data Assimilation Techniques
Presentation by Ludger Scherliess, Utah State University, USA [PDF]
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Effective behavior of random media
Presentation by Felix Otto, Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany [PDF]
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All-at-once versus reduced formulations of inverse problems and their regularization
Presentation by Barbara Kaltenbacher, Alpen-Adria-Universität Klagenfurt, Austria [PDF]
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Implementation of an iterative ensemble smoother for big-data assimilation and reservoir history matching
Presentation by Geir Evensen, NORCE–Norwegian Research Center and Nansen Environmental and Remote Sensing Center, Norway [PDF]
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Distances for discretely observed jump processes and applications in nonparametric statistics
Presentation by Ester Mariucci, Otto von Guericke Universität, Magdeburg, Germany [PDF]
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Low dimensional approximation of weak constraint variational data assimilation
Presentation by Melina Freitag, University of Potsdam, Germany
2018
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Approximate Kernel Embeddings of Distributions
Presentation by Dino Sejdinovic, University of Oxford, UK [PDF]
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Numerical Analysis in Visual Computing: what we can learn from each other
Presentation by Uri Ascher, University of British Columbia, Canada [PDF]
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The Epidemic Type Aftershock Sequence (ETAS) Model
Presentation by Maximillian Werner, University of Bristol, UK
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Piecewise-Deterministic MCMC
Presentation by Arnaud Doucet, University of Oxford, UK
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Image-based modelling of problems in cell motility
Presentation by Till Brettschneider, University of Warwick, UK [PDF]
2017
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Distributional Uncertainty in Uncertainty Quantification
Presentation by Tim Sullivan, Zuse Institute Berlin and Freie Universität zu Berlin, Germany [PDF]
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Comparing deep neural networks against humans: Object recognition with weak signals
Presentation by Felix Wichmann, Universität Tübingen, Germany [PDF]
Seminars
2020
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Advancements in Hybrid Iterative Methods for Inverse Problems
Presentation of Julianne Chung, Virginia Tech, Blcksburg, USA [PDF]
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Challenges in Dynamical Systems Inference: New Approaches for Parameter and Uncertainty Estimation
Presentation of Matthias Chung, Virginia Tech, Blcksburg, USA [PDF]
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Data-driven reconstruction of chaotic dynamics using data assimilation and machine learning
Presentation of Marc Bocquet, École des Ponts Paris Tech, France [PDF]
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Implicit equation-free methods applied on noisy slow-fast systems
Presentation of Anna Dittus, Universität Rostock, Germany [PDF]
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Posterior Inference for Sparse Hierarchical Non-stationary Models
Presentation of Lassi Roininen, Lappeentanta University of Technology, Finland
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Computational and data-driven methods for large-scale inverse problems
Presentation by Tristan van Leeuwen, Universiteit Utrecht, The Netherlands
2019
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Deterministic Sequential Monte Carlo for non-Gaussian elliptic problems
Presentation of Sangeetika Ruchi, Centrum Wiskunde & Informatica, Amsterdam, The Netherlands [PDF]
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Stability and uniform fluctuation estimates of Ensemble Kalman-Bucy Filters
Presentation of Pierre del Moral, INRIA, Bordeaux Research Center, University of Bordeaux, France [PDF]
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Assimilating data with outer probability measures
Presentation by Jeremie Houssienieau, The University of Warwick, UK [PDF]
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A Downscaling Data Assimilation Algorithm
Presentation by Edriss Titi, University of Cambridge, Texas A&M University and Weizmann Institute of Science [PDF]
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Non-linear functionals preserving normal distribution and their asymptotic normality
Presentation by Linda Khachatryan, Institute of Mathematics of the National Academy of Science of RA, Armenia [PDF]
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Probabilistic Linear Solvers
Presentation by Jon Cockayne, University of Warwick, UK [PDF]
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Kalman-Wasserstein Gradient Flows
Presentation by Franca Hoffmann, California Institute of Technology, USA [PDF]
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Applied Data Assimilation: Diabetes phenotyping/forecasting + Hybrid machine learning approaches
Presentation by Matthew Levine, California Institute of Technology, USA [PDF]
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Ensemble Data AssimilationforCoupledModels oftheEarth System
Presentation by Lars Nerger, Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Germany [PDF]
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Data assimilation analysis for a stochastic one-layer rotating shallow water system driven by transport noise
Presentation by Dana Lang, Imperial College London, UK [PDF]
2018
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On stability of a class of Kalman - Bucy filters for systems with non-linear dynamics
Presentation by Toni Karvonen, Aalto University, Finland [PDF]
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Composing stochastic quasi-Newton-Type algorithms
Presentation by Thomas Schön, Uppsala University, Sweden [PDF]
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Localization for high dimensional data assimilation and MCMC
Presentation by Xin T. Tong, National University of Singapore, Singapore [PDF]
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A causal approach to circulation variability in the Southern Hemisphere
Presentation by Elena Saggioro, University of Reading and Imperial College London, UK [PDF]
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Dancing with Drones
Presentation by Erin Linebarger, University of Utah, USA, and visiting research fellow in the SFB 1294 [PDF]
2017
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Minimization-based sampling from the posterior distribution for inverse problems
Presentation by Dean Oliver, Uni Centre for Integrated Petroleum Research, Bergen, Norway [PDF]
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Modelling subsidence: On the use of the particle filter for geomechanical parameter estimation
Presentation by Femke Vossepoel, Delft University of Technology [PDF]
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A class of nonlinear filters induced by local couplings
Presentation by Alessio Spantini, Massachusetts Institute of Technology (MIT), USA [PDF]
2022
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Augmenting Bayesian inference with possibility theory
Presentation of Jérémie Houssineau, University of Warwick, UK [PDF]
Kalman Lectures
2019 and more recent
The video presentations from the Kalman Lectures in 2019 and onwards were videotaped and can be found here.
2018
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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
2022
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Ralf Metzler Lectures
Brown, Einstein, Smoluchowski & beyond
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Aretha Teckentrup Lecture 1
Bayesian inference for complex models
- Aretha Teckentrup Lecture 2
- Aretha Teckentrup Lecture 3
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Infrastructure project input
Data management and UP Toolbox
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Infrastructure Project input
RDMo - Research Data Management Organizer
2019
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Adele Diederich - Lecture 1
Multi-stage sequential sampling models: A framework for binary choice options - Part 1
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Adele Diederich - Lecture 2
Multi-stage sequential sampling models: A framework for binary choice options - Part 2
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Adele Diederich - Lecture 3
Multi-stage sequential sampling models: A framework for binary choice options - Part 3
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Adele Diederich - Lecture 4
Multi-stage sequential sampling models: A framework for binary choice options - Part 4
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John Harlim - Lecture 1
Diffusion Maps: A manifold learning algorithm
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John Harlim - Lecture 2
Data-Driven Nonparametric Likelihood Functions
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John Harlim - Lecture 3
Data-Driven Nonaparametric Likelyhood Functions: Continue
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John Harlim - Lecture 4
Nonparametric modeling of dynamical systems
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Marc Hoffmann - Lecture 1
Statistical inference for structured models Part I: Some connections between nonparametic estimations ans PDEs - the stochastic models
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Marc Hoffmann - Lecture 2
Part II: Example 3 (Human population models). Statistical methodology
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Marc Hoffmann - Lecture 3
Part III: Lepski's principle. Estimation in bifurcating models.
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Marc Hoffmann - Lecture 4
Part IV: Estimation with bias sampling and proxy experiments. Large population models. Further models
2018
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David Dereudre - Lectures 1 and 2
Introduction to the Theory of Gibbs Point Process - Finite Volume Gibbs Point Process
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David Dereudre - Lecture 3
Introduction to the Theory of Gibbs Point Process - Estimation of parameters
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David Dereudre - Lecture 4
Introduction to the Theory of Gibbs Point Process
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Youssef Marzouk - Lectures 1 and 2
Bayesian inference and MCMC foundations
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Youssef Marzouk - Lecture 3
Bayesian modeling and computation for inverse problems
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Youssef Marzouk - Lecture 4
Posterior approximations for Bayesian inverse problems
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Youssef Marzouk - Lecture 5
Bayesian optimal experimental design
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Carola Schönlieb - Lecture 1
Topics in Mathematical Imaging - Variational models & PDEs for imaging by examples
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Carola Schönlieb - Lecture 2
Topics in Mathematical Imaging - Derivation of these models & analysis
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Carola Schönlieb - Lecture 3
Topics in Mathematical Imaging - Numerical solution
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Carola Schönlieb - Lecture 4
Topics in Mathematical Imaging - Some machine leaning connections
2023
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Slides Lecture Gilles Blanchard
Prediction with expert advice under budget constraints
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Slides Lecture Katharina Baum
Integrating multi-layered data and prior knowledge into machine learning
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Slides Lecture Niklas Kaspareit
Robo Lab - A Search and Rescue Mission
DA Days
2023
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Multilevel Monte Carlo Methods for Parametric Expectations: Distribution and Robustness Measures
Presentation by Sebastian Krumscheid joint work with: Q. Ayoul-Guilmard, S. Ganesh, and F. Nobile [PDF]
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Sampling with Stein Discrepancies
Presentation by Cris. J. Oats [PDF]
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Likelihood Inference for SDE-models with applications in Biology and Geophysics
Presentation by Michael Sørensen [PDF]
Joint Workshop
Here you can find the presentations of the speakers from the joint workshop on Conservation Principles, Data and Uncertainty in Atmosphere-Ocean Modelling, who sent us their presentation and allowed it to be made public. The talks are organized by workshop days/themes and in alphabetical order.
Day 1: Energy budgets and energy transfer in climate models and data (Patron: TRR181)
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Oceanic overturning and heat transport: The role of background diffusivity
Presentation by Jonas Nycander, Stockholm University, Sweden [PDF]
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Observing Earth's Energy Imbalance
Presentation by Till Kuhlbrodt, NCAS, University of Readings, UK [PDF]
Day 2: Data assimilation (Patron: SFB 1294)
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Reanalysis of radiation belt electrons relying on a Kalman filter, four spacecraft, and a diffusion model
Presentation by Sebastian Cervantes, GeoForschungsZentrum and University of Potsdam, Germany [PDF]
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On the geometry of Stein variational gradient descent (SVGD)
Presentation by Nikolas Nüsken, University of Potsdam, Germany [PDF]
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Parameter Estimation in Size-Structured Aerosol Populations using Bayesian State Estimation
Presentation by Matthe Ozon, University of Eastern Finland, Finland [PDF]
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State and parameter estimation from observed signal increments
Presentation by Paul Rozdeba, University of Potsdam, Germany [PDF]
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Stabilizing Unstable Flows by Coarse Mesh Observables and Actuators - A Pavement to Data Assimilation
Presentation by Edriss S. Titi, University of Cambridge, Texas A&M University and Weizmann Institute of Science [PDF]
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Downscaling Data Assimilation Techniques Applied to Low Froude Number Shallow Water Flows
Presentation by Stefan Vater, Freie Universität Berlin, Germany [PDF]
Day 3: Stochastic modelling in atmosphere-ocean science (Patron: SFB 1114)
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Improving stochastic parametrisation schemes using high-resolution model simulations
Presentation by Hannah Christensen, University of Oxford, UK [PDF]
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Finite-time breakdown of chemical precipitation patterns
Presentation by Marcel Oliver, Jacobs University, Germany [PDF]
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Dynamics under location uncertainty and other energy-related stochastic subgrid schemes
Presentation by Valentin Resseguir, IRISA, France [PDF]
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A fluctuation-dissipation relation for the ocean subject to turbulent atmospheric forcing
Presentation by Achim Wirth from MEIGE/LEGI/CRNS, France [PDF]
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A consistent framework for stochastic representation of large-scale geophysical ows
Presentation by Etienne Mémin, INRIA/Irmar, France