Newsroom
We are delighted to announce the next event in our Machine Learning Galore! series, focusing on Scientific Machine Learning, which will take place on Wednesday, November 11, from 16:30 to 18:00 h at INF 205 Mathematikon (5th floor). The event will feature talks, lab presentations and discussion:
Lab presentations:
- Lena Maier-Hein
- Claudia Strauch
- Alexander Zipf
Rocket science:
- 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: mapping street-view greenness by DL model from satellite imagery and geo foundation embeddings
Registration is free but required via the ML-AI portal – please register until November 9th:
https://www.mlai.uni-heidelberg.de/en/machine-learning-talks-on-campus
About Scientific Machine Learning:
Scientific Machine Learning is a collaborative initiative by the Interdisciplinary Center for Scientific Computing (IWR) and the STRUCTURES Cluster of Excellence. Its mission is to foster interaction and exchange within the local machine learning community, and to support its development by consolidating activities and resources that might otherwise remain scattered across individual institutions or disciplines. The initiative aligns closely with the objectives of STRUCTURES, which aims to advance fundamental research, and with IWR’s focus on applying machine learning to address long-standing challenges in the natural and life sciences, engineering, and the humanities.
Further information: