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Jan Gerken is a Postdoctoral Research Fellow at the University of Gothenburg specializing in algebra and geometry. His research focuses on topics such as equivariance in deep learning and generative models, contributing to various high-impact publications in the domains of artificial intelligence and mathematical physics. His notable works include research on deep ensembles and the application of equivariance in geometric deep learning. Gerken is actively engaged in the academic community, co-authoring papers that explore fundamental concepts in machine learning and theoretical physics, emphasizing the intersection of these disciplines.
University of Gothenburg • Göteborg
Conducting research in algebra and geometry with applications in machine learning and theoretical physics.
Administered by the Department of Political Science; focus on International Administration and Global Governance (IAGG).