Research

At Nijmegen ELLIS unit, we have over 30 years of experience in machine learning research and have a longstanding tradition of applied machine learning research in various domains. Our expertise entails:

• Machine learning and causal discovery, with applications in amongst others, healthcare, physics and the physical sciences,, neuroscience, and industry driven applications
• Brain-inspired computing and development of statistical machine learning techniques with concrete applications in cutting edge neuroscience
• Understanding the computational aspects of machine learning using concepts and methods from theoretical physics and quantum machine learning
• Interpretable machine learning, Bayesian and information-theoretic inference methods for extremely high-dimensional data
• Deep and transfer learning for medical image analysis and kernel methods for Gaussian Processes to perform long-term forecasting
• Deep machine learning for medical image analysis and computer-aided diagnostics
• Multimedia analysis, including speech and language processing and computer vision; recommender systems; and information retrieval