Karsten Roth is a PhD researcher at the Explainable Machine Learning group as part of the European Laboratory for Learning and Intelligent Systems (ELLIS) co-supervised by Prof. Zeynep Akata and Dr. Oriol Vinyals at Deepmind.
Karsten has completed both Bachelor and Master studies in Physics at Heidelberg University, with the latter completed in 2021. He has spent time abroad in Canada as a research intern at the Montreal Institute for Learning Algorithms (MILA) supervised by Dr. Joseph Paul Cohen and Prof. Yoshua Bengio, and the Vector Institute supervised by Prof. Marzyeh Ghassemi, working on all manners of representation learning and their applications to the medical domain. He has also worked as a research intern at the Amazon AWS research lablet in Tuebingen working on Anomaly Detection.
His primary interests cover zero- and few-shot learning problems and understanding generalisation behaviour of learned representation as well as medical applications and multi-modal representation learning.