About the DMML group
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 many other topics explored over the years by our members.
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.
The Data Mining and Machine Learning group (http://dmml.ch/) at the University of Applied Sciences in Geneva has an opening for a full-time post-doc position. The research target is to develop grey-box (hybrid) machine learning methods that combine data-driven models such as deep neural nets and theory-driven, physical and/or causal models . By combining these ...Read more
The year 2022 is at its last days, and this is a good opportunity for wrapping up the activities of our group, as they occurred within 2022. 2022 was a very refreshing year for the DMML group, and the following points will justify why! First and foremost, our team had the pleasure to welcome three new, inspiring ...Read more
The second half of 2022 has been very exiting! Our team has kicked-off 4 new research projects. In short, the projects are the following ones: EO4EU: a Horizon Europe project related to Earth Observation Automated Bridge Defect Recognition: an Innosuisse project regarding bridge inspection and ML-driven damage detection. Learning generative models for molecules: An SNF project (Project funding, division ...Read more