Richard Kurle

PhD Candidate (alumnus)

Richard has completed a master's degree in Electrical and Computer Engineering at TU Munich. He completed his master's thesis with the Volkswagen Electronic Research Lab, where he worked on an end-to-end learning approach for autonomous driving. He is currently pursuing a PHD, focusing on multi-source and lifelong learning.


  • multi-source learning
  • lifelong learning
  • approximate inference in deep latent-variable models