The Home of Machine Learning at Leibniz University Hannover

The “Institut für Informationsverarbeitung” (Institute for Information Processing) is the home of machine learning at the Leibniz University Hannover. We focus on three main research directions, namely (I) computer vision & representation learning, (II) signal processing & -coding and (III) automated machine learning. Our methods range from deep learning, automated machine learning, reinforcement learning, image analysis, remote sensing and compression of audio, image, video as well as DNA to biomedical data. Our efforts are directed towards making efficient use of multi-modal and high dimensional data for reliable predictions, ultimately supporting end-users, developers and decision makers in a vast range of applications.

Since the foundation in 1973, the institute holds a strong tradition of cultivating connections to industry partners and jointly developing solutions to automatically process and harness information. Some of the developed methodology were successfully spun-off commercially as for instance with driver assistance modules, cochlear implants or component testing. The institute is also well known for being actively involved in the standardization of MP3, MPEG-2, AVC (H.264), HEVC (H.265) as well as MPEG-G.

Do you want to join us? We have open positions.

Current Spotlight
Leibniz AI Academy
Micro-degrees for training students and industry professionals in competencies related to the field of AI (more...)

DAC: Dynamic Algorithm Configuration
Algorithm Configuration (AC) aims to optimize algorithm performance by automating important decisions like hyperparameter settings and algorithm choice. Both theoretical and empirical results have shown, however, that only making these decisions once at the beginning of an algorithm run is often not optimal. Instead, the best configuration often depends on the current timestep and algorithm's state. Therefore Dynamic Algorithm Configuration (DAC) learn configuration schedules that fit the current state to improve overall performance. (more...)

"Ein Institut, in dem Familienfreundlichkeit gelebt wird!"
Konrad Bethmann