Department of

Computer science and Informatics

Group for machine learning

The Machine Learning Group focuses on the development of machine learning models and algorithms and their practical applications. Its research interests are diverse and, in terms of methodological development, include computer vision, natural language processing, reinforcement learning, graph neural networks, fairness in artificial intelligence, and neural ordinary differential equations. Applications include protein function prediction, automatic text summarization, automated microscope focusing, font recognition and generation, accelerating automated reasoning systems, clustering, and others. In addition, members of the group are involved in various activities aimed at promoting machine learning and artificial intelligence and disseminating knowledge in these fields, such as organizing a research seminar, public lectures, and other activities.

Some information about the work of this group is available at: