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Wouter Kouw

Assistant professor, TU Eindhoven

Personal website

Interests

  • Machine Learning
  • Statistical Inference
  • Neural Computation
  • Intelligent Systems

Education

  • PhD in Computer Science, 2018

    Delft University of Technology

  • MSc in Neuroscience, 2013

    Maastricht University

Projects

  • Simulating Football Players’ Decision-Making Process

Biography

Wouter Kouw has a dual background in neuroscience and computer science, which he utilizes to analyze, design and develop probabilistic machine learning systems based on models of information processing in the brain. His research focuses on variational Bayesian inference algorithms for learning dynamics in mobile robots. Formerly, he was a visiting scholar at Cornell University (USA) and a Niels Stensen Fellow at Copenhagen University (Denmark).

Publications

Message Passing-based System Identification for NARMAX Models

Albert Podusenko, Semih Akbayrak, Ismail Senoz, Maarten Schoukens, Wouter Kouw
CDC 2022
December, 2022
Details PDF Code IEEE

Variational Bayes for Robust Radar Single Object Tracking

Alp Sari, Tak Kaneko, Lense Swaenen, Wouter Kouw
SiPS 2022
To be published in November, 2022
Details PDF

Variational message passing for online polynomial NARMAX identification

Wouter Kouw, Albert Podusenko, Magnus Tønder Koudahl, Maarten Schoukens
ACC 2022
April, 2022
Details PDF Code

On Epistemics in Expected Free Energy for Linear Gaussian State Space Models

Magnus Tønder Koudahl, Wouter Kouw, Bert de Vries
Entropy
November, 2021
Details PDF Code

Message Passing-Based Inference for Time-Varying Autoregressive Models

Albert Podusenko, Wouter Kouw, Bert de Vries
Entropy
May, 2021
Details PDF

Online system identification in a Duffing oscillator by free energy minimisation

Wouter Kouw
IWAI 2020
September, 2020
Details PDF Code Springer

Online Variational Message Passing in Hierarchical Autoregressive Models

Albert Podusenko, Wouter Kouw, Bert de Vries
ISIT 2020
June, 2020
Details PDF IEEE

Bayesian Joint State and Parameter Tracking in Autoregressive Models

Ismail Senoz, Albert Podusenko, Wouter Kouw, Bert de Vries
L4DC 2020
June, 2020
Details PDF

Online Variational Message Passing in Autoregressive Models

Albert Podusenko, Wouter Kouw, Bert de Vries
SITB 2019
May, 2019
Details PDF Poster

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