The internal ZIB workshop on machine learning aims at providing a survey on machine learning methods and their applications, in particularly as worked on at the Dahlem campus. As data is becoming ever more important in many aspects from data analysis to data driven research, the workshop aims as raising the overall awareness and understanding of machine learning techniques in ZIB. All interested members are welcome to join.
Date
The workshop will take place on February 27, 2017.
Venue
The workshop will take place in the ZIB lecture hall, room 2005, Takustr. 7, 14195 Berlin.
Program
Slides of the talks can be found below.
| Time | Presenter | Topic |
|---|---|---|
| 10:00-10:05 | Christof Schütte (FU/ZIB) | Welcome |
| 10:05-10:35 | Tim Conrad (FU/ZIB) | Deep Learning |
| 10:35-11:20 | Peter Koltai (FU) | Diffusion Maps: Concepts, theoretical properties, and applications |
| coffee break | ||
| 11:30-12:00 | Ingmar Schuster (FU) | Reproducing Kernel Hilbert Spaces for Machine Learning |
| 12:00-12:25 | Anirban Mukhopadhyay (ZIB) | Dictionary Learning in medical image segmentation |
| lunch break | ||
| 13:30-13:50 | Anirban Mukhopadhyay & Manish Sahu (ZIB) | Convolutional Neural Network for surgical tool detection from endoscopy videos |
| 13:50-14:10 | Thomas Steinke (ZIB) | Learning on Manycore and FPGA Platforms |
| 14:10-14:25 | Mirta Rodriguez & Tobias Kramer (ZIB) | Machine Learning: A New Tool for the Physics Box? |
| 14:25-14:30 | Martin Weiser | Closing remarks |
For questions concerning the program contact Martin Weiser (weiser@zib.de).
