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 Thursday, November 13, from 4:30 to 6:00 pm at INF 205 Mathematikon (5th floor). The event features lab presentations by principal investigators, followed by brief presentations from junior scientists showcasing their latest work. Extended discussions will offer ample opportunity for in-depth exchanges.

Event Details:

• Lab presentations: 
  • Lukas Balles
  • Jürgen Hesser
  • Wolfgang Huber
• Science Talks:
  • Constantin Ahlmann-Eltze (Huber lab): ML in Single Cell and Spatial Omics for Tissue Biology and Biomedical Research
  • Pit Neitemeier (Balles lab): Learnt splitting and the influence of compression ratios in end-to-end hierarchical language modeling
  • Marcus Buchwald (Hesser lab): Reaching for Causal Image Generation using deep conditioning

Registration is free but required via the ML-AI portal:
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:

• Scientific Ma­chine Learning Hei­del­berg
• Ma­chine Learning Talks on Campus – Information service and mailing list
• Interdisciplinary Center for Scientific Computing (IWR)