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Sibylle Hess

Sibylle Hess is assistant professor of data mining at TU Eindhoven, the Netherlands. She completed her Ph.D. summa cum laude in 2019 at Katharina Morik’s lab at TU Dortmund University, Germany, as an employee of the collaborative research center SFB876. She has worked on the derivation of (certifiably) robust clustering methods under the framework of matrix factorizations, and is currently interested in the implications of a relationship between of k-means clustering and deep learning.