Stefan Baumann

Doctoral Researcher at ELLIS - European Laboratory for Learning and Intelligent Systems

Munich, Bavaria, Germany
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Summary

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Stefan Baumann is a doctoral researcher based in Munich with 11 years of experience applying generative machine learning to computer vision and signal processing. Currently pursuing a PhD co-supervised by ELLIS and Meta and affiliated with CompVis, he focuses on large-scale diffusion models and practical generative pipelines. His industry research internships at Intel Labs and Sony explored 3D neural surface reconstruction and diffusion-based audio restoration, bridging theoretical advances with application-driven problems. Stefan has a strong foundations in electrical engineering and signal processing from KIT and a track record building synthetic vision datasets and ML curricula, reflecting both hands-on engineering and teaching experience. Known on GitHub for “making diffusion models go brrrr,” he pairs playful curiosity with rigorous research toward scalable generative systems.
code11 years of coding experience
job2 years of employment as a software developer
bookAbitur, Abitur at Oberrhein-Gymnasium Weil am Rhein
bookMaster of Science - MS, Electrical Engineering and Information Technologies, Signal Processing, Master of Science - MS, Electrical Engineering and Information Technologies, Signal Processing at Karlsruher Institut für Technologie (KIT)
languagesEnglish, German, French
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Stackoverflow

Stats
46reputation
325reached
6answers
0questions
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Github Skills (170)

python10
metadata10
datasets10
computer-graphics10
arm10
cpp10
cudnn10
replay10
mesh-processing10
rendering10
cluster-computing10
azerothcore10
torchvision10
computer-vision10
opengl10

Programming languages (6)

C#C++JavaScriptPerlJupyter NotebookPython

Github contributions (5)

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stefan-baumann/AeroSuite

Feb 2015 - Sep 2019

Contributions:102 commits, 92 pushes in 4 years 7 months
Contributions:2 releases, 42 commits, 16 pushes in 5 days
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