Scientific Machine Learning is a joint initiative from STRUCTURES and IWR aimed at fostering interactions within and development of the local machine learning community. Its portal summarizes the many relevant events and news from across campus that would otherwise remain scattered across single institutions or fields.
The goals of the MLAI platform align with the STRUCTURES Cluster of Excellence’s objective of driving research into the fundamental understanding of current and future machine learning, and with IWR’s aim to leverage machine learning to enable the solution of long-standing problems in the natural and life sciences, the engineering sciences, as well as the humanities.
This time, machine learning galore will feature lab presentations by PIs as well as scientific talks by junior scientists.
Lab presentations:
- Lena Maier-Hein, Claudia Strauch, Alexander Zipf
Science talks:
- Leon Mayer (Maier-Hein Lab)
How Naturally Adversarial Medical Images Challenge Vision-Language Models - Marta Gentiloni Silveri (Strauch Lab)
How Reliably Can Generative Models Reconstruct Data from Pure Noise? - Gefei Kong (Zipf Lab)
From Bird’s Eyes to Human Eyes: Street-View Greenness from Satellite Imagery and Geo Foundation Embeddings
Wednesday, 11 November 2026, 16:30 – 18:00
Im Neuenheimer Feld 205, Mathematikon, Conference Room, Room 5/104, 5th Floor
Please note that registration is required: DFN Terminplaner