Scientific Machine Learning Machine learning galore!
- Termin in der Vergangenheit
- Mittwoch, 14. Januar 2026, 16:30 - 18:00 Uhr
- Mathematikon • Conference Room, Room 5/104, 5th Floor • Im Neuenheimer Feld 205 • 69120 Heidelberg
Machine learning galore will feature lab presentations by PIs as well as scientific talks by junior scientists.
Lab presentations:
- Fabian Isensee, Margret Keuper, Robert Scheichl
Science talks:
- Fabian Isensee:
nnInteractive: Redefining 3D Promptable Segmentation - Steffen Jung (Keuper lab):
Robustness and Reliability in Computer Vision Models - Benno Huber (Scheichl lab, co-supervised by Jakob Zech):
Operator Learning: Low-Rank Surrogates and Comparisons to Neural Operators
Registration is free but required!
Adresse
Mathematikon • Conference Room, Room 5/104, 5th Floor • Im Neuenheimer Feld 205 • 69120 Heidelberg
Veranstalter
Veranstaltungstyp
Vortrag
Homepage Veranstaltung
Kontakt
Further Information
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.