# Colloquia in 2023

### 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…

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