Erik Englesson

I am postdoc at the division of Robotics, Perception and Learning at KTH, supervised by Hossein Azizpour. My research interests are related to robustness and uncertainty in deep learning. My PhD thesis was mainly about robustness to label noise, which arises from aleatoric uncertainty in the data generation process. In the future, I plan to connect aleatoric uncertainty, label noise, and epistemic uncertainty.

This work is supported by the Wallenberg AI, Autonomous Systems and Software Program (WASP-AI/MLX) funded by the Knut and Alice Wallenberg Foundation.