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.


Archive of news

  • PhD Thesis defense of Jason Ramapuram


    Jason Ramapuram will defend on Wednesday the 15th of September 2021 at 13:00 his PhD thesis entitled:  "Finding signals in the void: Improving deep latent variable generative models via supervisory signals present within data."  co-directed by Prof. Stephane Marchand-Maillet and Prof. Alexandros Kalousis.  The defense will take place over zoom: https://unige.zoom.us/j/92411673708?pwd=QXJ5Yjczb0MrMTdtNTF2OENMRmIyUT09#success  In order to facilitate the organisation of ...

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  • Best student paper award by Joao Ramos in ECML/PKD…


    It is our pleasure to announce that Joao Ramos received the best student data mining paper award in ECML/PKDD 2021 for the work he did in modelling pathological gait to eventually support treatment planning. Joao's work takes place in the context of the SimGait Synergia project funded by SNF, in which our team works together ...

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  • Departure of Magda Gregorova for a Professorship i…


    After eight amazing years, one PhD acquired, the co-initiation of a new Master's program for HEG, several published papers, endless fruitful discussions in team meetings and numerous initiations of fun team activities, Dr. Magda Gregorova is departing from our group. Prof. Magda Gregorova is starting on September 2021 at her new position as a Professor (W2), ...

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