Wouter Kouw

Wouter Kouw

Assistant Professor

TU Eindhoven

Biography

Wouter Kouw is a researcher in the Bayesian Intelligent Autonomous Systems lab of TU Eindhoven. He has a dual background in neuroscience and computer science, and is most interested in neuro-inspired forms of artificial intelligence. His research focuses on analyzing, designing and developing probabilistic machine learning systems based on models of information processing in the brain. Specifically, the development of variational Bayesian inference algorithms implemented as message passing on graphs. His work has been applied to nonlinear system identification, adaptive control systems and mobile robotics.

Interests
  • Machine Learning
  • Bayesian Inference
  • Intelligent Systems
  • Neural Computation
Education
  • PhD in Computer Science, 2018

    Delft University of Technology

  • MSc in Neuroscience, 2013

    Maastricht University

Publications


Multiple variational Kalman-GRU for ship trajectory prediction with uncertainty.
IEEE Transactions on Aerospace and Electronic Systems, 2024.

Coupled autoregressive active inference agents for control of multi-joint dynamical systems.
International Workshop on Active Inference, 2024.

Message passing-based Bayesian control of a Cart-Pole system.
International Workshop on Active Inference, 2024.

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