Simon Kohaut

Person in a light blue collared shirt standing in front of a dense green leafy hedge, with their face blurred for privacy.© Simon Kohaut / ELIZA
  • PhD Student
  • ML Systems
  • Applications in Autonomous Systems
  • Foundations of ML: Robot Learning

I am working on enabling autonomous systems to efficiently reason on their environment and actions by combining the powers of probability theory with formal logic. To achieve continual reasoning under real-time constraints, exploiting properties of the agent’s perception and knowledge of its domain can help us to overcome the costs of probabilistic inference. Hence, my research focuses on creating reactive systems that are built on a foundation of probabilistic logic and message passing between individual models.