Workshop venue: ZIB

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.


The workshop will take place on February 27, 2017.


The workshop will take place in the ZIB lecture hall, room 2005, Takustr. 7, 14195 Berlin.


Slides of the talks can be found below.

10:00-10:05Christof Schütte (FU/ZIB)Welcome
10:05-10:35Tim Conrad (FU/ZIB)Deep Learning
10:35-11:20Peter Koltai (FU)Diffusion Maps: Concepts, theoretical properties, and applications
coffee break
11:30-12:00Ingmar Schuster (FU)Reproducing Kernel Hilbert Spaces for Machine Learning
12:00-12:25Anirban Mukhopadhyay (ZIB)Dictionary Learning in medical image segmentation
lunch break
13:30-13:50Anirban Mukhopadhyay & Manish Sahu (ZIB)Convolutional Neural Network for surgical tool detection from endoscopy videos
13:50-14:10Thomas Steinke (ZIB)Learning on Manycore and FPGA Platforms
14:10-14:25Mirta Rodriguez & Tobias Kramer (ZIB)Machine Learning: A New Tool for the Physics Box?
14:25-14:30Martin WeiserClosing remarks

For questions concerning the program contact Martin Weiser (