Congratulations Mike!

This week, Mike has successfully defended his PhD. Mike’s presentation was inspiring—just as his research leading to this PhD. Mike contributed to a variety of topics, ranging from high-dimensional statistics to generative models. However, Mike’s presentation showed that all these topics still fit a general notion of bias. You can find Mike’s papers in the publications tab on our homepage.

We were really fortunate to have Mike on our team for four years. It was also a great pleasure to co-advise Mike with Asja Fischer. Asja is an amazing researcher and mentor. I am sure we will have many more collaborations to come!

World Congress

Ali, Pegah, and Milena just returned from the World Congress in Probability and Statistics, where they showcased our work on mathematical machine learning and AI. They also brought a lot of inspiration and motivation back home to Hamburg.

Welcome back! We are proud that you are such great ambassadors for our team.

Hotel Bingo

Today, Johannes was interviewed for the German radio station NDR 2 about the probabilities to win their sweepstakes. It’s all mathematics! If you are interested in studying this field, consider joining UHH.

Podcast Updates

Unser Podcast wagt sich diesen Monat an grundsätzliche Fragen: Mit Eva Bittner habe ich diskutiert, ob und wie Menschen und künstliche Intelligenz zusammenarbeiten können. Hier gibts alle Infos über den Podcast. Reinhören lohnt sich!

Deep Learning in Geotechnics

We have a new paper titled “Deep learning-based analysis of true triaxial DEM simulations: Role of fabric and particle aspect ratio”, which will appear in Computers and Geotechnics. Thank you for Nazanin, Merita, Mohammad, and Torsten in Bochum and Pegah in Hamburg for this wonderful interdisciplinary collaboration! 🏗🏢🌎

Anomaly detection

Our new paper “AnomalyDINO: boosting patch-based few-shot anomaly detection with DINOv2” is now on arXiv. Thanks for the great efforts, Simon, Mike, and Asja! 👷‍♀️🏗👷‍♂️

German Podcast

In unserem neuen Podcast “Data Science Talks” erklären wir aktuelle Entwicklungen in Data Science und künstlicher Intelligenz. Beispielsweise zeigen wir mit Gregor Kasieczka die Bedeutung von Data Science in der Teilchenphysik auf, diskutieren mit Judith Möller die Auswirkungen von KI in den sozialen Medien, und beleuchten mit Eva Bittner die Zusammenarbeit zwischen Mensch und Maschine.

Die ersten Folgen werden in Kürze online sein. Aus aktuellem Anlass gibt es schon diese Woche einen kurzen Teaser zum Nobelpreisträger Peter Higgs.