About the DMML group
The Data Mining and Machine Learning group was established in 2011 by Prof. Alexandros Kalousis. It is a part of the Department of Information Systems of the University of Applied Sciences, Western Switzerland, Geneva. It is a also part of the VIPER group of the Computer Science Department of the University of Geneva, with a number of group members doing their PhD there, under the joint supervision of Profs. Alexandros Kalousis and Stephane Marchand-Maillet.
Within the group we do research in various areas of data mining and machine learning. Over the years group members have explored a variety of research problems, such as metric and kernel learning, feature selection and dimensionality reduction, regularisation, and meta-learning. Group members currently explore different research problems such as structured regularisation, learning of dynamical systems, life-long learning, imitation and reinforcement learning, many of them using deep learning methods.
In our research we pay particular attention to real life problems and applications. Many of our research directions have been defined on the basis of real world problems and in the context of joint projects with industrial partners. 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.
Meet us at the NIPS workshops were we will be presenting the following works: Sample-Efficient Imitation Learning via Generative Adversarial Nets (Lionel Blondé, Alexandros Kalousis), in the Deep RL and in the Imitation Learning and its Challenges in Robotics workshops. Continual Classification Learning Using Generative Models (Frantzeska Lavda, Jason Ramapuram, Magda Gregorova, Alexandros Kalousis), in the Continual Learning workshop. Variational Saccading: Efficient ...Read more
Read us to know about the latest endeavours of the DMML group!Read more
Warm welcomes to our new colleague, Ye Yuan, who started his PhD with us in September 2018 to work on our gait project. Ye has got a master's degree in Computer Science from the Institute of Computing Technology of the University of Chinese Academy of Science and has got some experience with NLP and stock ...Read more
On Monday 12/November we will host a talk of Dr. Julien Mairal, Inria, Grenoble on: "Invariance and Stability to Deformations of Deep Convolutional Representations". Later the same day, Magda will defend her thesis on "Sparse Learning for variable selection with structures and nonlinearities".Read more