Aktivitäten

Die Termine des wöchentlich Seminars, Mittwoch 12:00‒14:00 der Professur für Datenassimilation werden auf Professor Freitags Seite bekannt gegeben.

09.12.2022, 10:15 - 11:15  –  Campus Golm, Building 28, Room 0.108
SFB-Kolloquium

One-shot Learning of Surrogates in PDE-constrained Optimization Under Uncertainty

Claudia Schillings, Freie Universität Berlin

Approaches to decision making and learning mainly rely on optimization techniques to achieve “best” values for parameters and decision variables. In most practical settings, however, the optimization... 

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14.12.2022, 12:15  –  Golm, Haus 9, 1.10
SFB-Seminar

Bayesian and Deterministic Spatio-Temporal Methods with Edge-Preserving Priors for Inverse Problems

Mirjeta Pasha (Tufts University)

Abstract: Inverse problems are ubiquitous in many fields of science such as engineering, biology, medical imaging, atmospheric science, and geophysics. Three emerging challenges on obtaining relevant... 

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13.01.2023, 10:15 - 11:15  –  Campus Golm, Building 28, Room 0.108
SFB-Kolloquium

Deep Learning Statistical Tests for Genetic Studies of Image Phenotypes

Christoph Lippert (HPI)

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 images and another variable such as genetics. To do... 

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10.02.2023, 10:15 - 11:15  –  Campus Golm, Building 28, Room 0.108
SFB-Kolloquium

Understanding and Applying Reinforcement Learning

Claire Vernade, DeepMind, London (UK)

Reinforcement Learning (RL) builds learning systems from the ground up by trial and error: as the agent takes actions, they receive rewards and observations that allow them to build a more... 

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