About Us
Our research interests center around methods and theoretical foundations of artificial intelligence, with a specific focus on machine learning. We are currently conducting research on supervised learning and extensions thereof, such as weakly supervised learning, ranking and preference learning, uncertainty in machine learning, Bandit algorithms, online learning, and learning on data streams, automated machine learning (AutoML), as well as applications, social and societal implications of artificial intelligence and machine learning
Latest News
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All 6 paper submissions to UAI acceptedAll 6 of our submissions have been accepted to the Conference on Uncertainty in Artificial Intelligence this year, achieving a 100% acceptance rate.
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Timo Kaufmann at Google DeepMind as a Student ResearcherOur PhD student Timo Kaufmann is off to Google DeepMind in London for six months as a Student Researcher.
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Accepted papers in ICML, EIML@ICML, IJCAI and ECMLOur group has had five papers recently accepted at major international Machine Learning conferences.
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Machine learning, dynamical systems, and control: Fully funded PhD and postdoc positions in MunichThe DFG Research Training Group "Machine Learning and Control Theory: Exploring Synergies, Complementarities and Mutual Benefits" (METEOR) is offering 10 PhD and 2 postdoctoral positions. Applications can be submitted till November 13th.
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4 AIML papers including spotlight in NeurIPS 2025In December, our group is presenting 4 papers, including a spotlight presentation at NeurIPS, the top conference in AI.
