I am working in the Empirical Inference group as a PhD student associated with the International Max Planck Research School for Intelligent Systems (IMPRS-IS)
My research focuses mainly on theoretical aspects of deep learning. In particular I am studying how to provide an objective, or at least as objective as possible, method to compare generative models like Generative Adversarial Networks (GANs) or Variational Autoencoders (VAEs).
Machine Learning Deep Learning Mathematics Statistical Learning Theory
Our goal is to understand the principles of Perception, Action and Learning in autonomous systems that successfully interact with complex environments and to use this understanding to design future systems