2016

We are concluding our very successful Initial Training Network on "Machine Learning for Personalized Medicine" - happy about all we achieved, sad that it's over!

Spotlight video for the paper "Finding significant combinations of features in the presence of categorical covariates" published at NIPS 2016.

Karsten was again included in the ranking "Top 40 under 40" in State & Society in Germany.

On October 21, Karsten hosted the 2016 Krupp Symposium on "From Machine Learning for Personalized Medicine" at the Max Planck Institute of Psychiatry in Munich.

Thomas Gumbsch joins the group.

We have consolidated the software and data from more than 20 research projects in one GitHub site.

Karsten visited the Fraunhofer Institute for Industrial Mathematics ITWM in Kaiserslautern last week, and talked about "Machine Learning for Personalized Medicine" and "Significant Pattern Mining".

Karsten was keynote speaker at the ECCB workshop on "Complex Network Analysis for Precision Medicine" in The Hague on September 3.

Our most recent work in Significant Pattern Mining by Laetitia, Felipe, Dean and Karsten was accepted at NIPS 2016!

The premier machine learning meeting in Japan ranked the NIPS paper "Halting in Random Walk Kernels" by Mahito Sugiyama and Karsten Borgwardt as one of the top 5 papers in 2015 (IEICE TC-IBISML Research Award Finalist)!

How do plants that, unlike humans and animals, cannot simply relocate adapt to environmental changes? How did plants spread over the continent and develop variations? 

Lukas Folkman joins the group.

Barcelona, May 21-24, 2016.

Katharina Heinrich joins the group