Machine Learning

This team works on machine learning and optimization for autonomous systems. We research novel machine learning approaches for various domains, ranging from medical applications to robotics and other embedded systems. The team has extensive experience in semi or self-supervised methods, reinforcement learning and probabilistic (Bayesian) methods, focusing on data/energy efficiency, safety/robustness and AutoML.

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