Sebastian Engelke
Naoya TAKEISHI (武石 直也)
Description: We are a machine learning reserach lab based in Geneva. In our research, we focus on various modern ML problems including deep and reinforcement learning.
The Data Mining and Machine Learning group of Geneva was established in 2011 by Prof. Alexandros Kalousis . It operates as a collaboration between the Department of Information Systems of the University of Applied Sciences, Western Switzerland, Geneva, and the VIPER group of the Computer Science Department of the University of Geneva. Many of the members currently follow a PhD under the joint supervision of Profs. Alexandros Kalousis and Stephane Marchand-Maillet.
We conduct research in various areas of data mining and machine learning, publishing at major international conferences (NeurIPS, ICML, etc.). In our latest work we focus on leveraging the power of modern deep learning architectures to address the problems of generative modeling, continual- and meta- learning, modelling of dynamical systems, and imitation and reinforcement learning. In these we also build on our experiences with metric and kernel learning, feature selection, structured regularization, and m
Many of our research directions have been defined on the basis of real world problems. We collaborate with multiple industrial and academic partners on joint projects providing the necessary machine learning expertise. The group receives funding from different sources, such as the Swiss National Science Foundation, SNSF , InnoSuisse (former CTI), the European Union, Horizon 2020 , as well as directly from industrial partners.
Sebastian Engelke
Naoya TAKEISHI (武石 直也)