Wouter Nuijten

PhD student at Eindhoven University of Technology

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Hi, I’m Wouter, I am a computer scientist interested in artificial intelligence. I am particularly interested in teaching machines to learn like humans do.

In my research at BIASlab, I try to apply Bayesian optimal reasoning to a control setting, and making these solutions efficient, tractable and scalable. In particular, I am interested in designing scalable Active Inference methods such that they can be used in real-time learning systems. In order to do this, I am a core developer of RxInfer.jl, which is a Julia package for Bayesian Inference, and I built RxEnvironments.jl, which is a Julia package for creating environments for Active Inference agents. At Lazy Dynamics, I try to bring these ideas to practice in an industrial setting.

In my free time, I play football and futsal at Totelos, which you have probably noticed if you have seen me present anywhere, and I really like to cook. When I’m not on the field, with friends or in the kitchen, I enjoy collecting records, watching films, and playing piano. I have a weak spot for Nintendo games and I love to read.

I try to merge my interest for AI and sports at MoreMovement, where we try to integrate state-of-the-art learning techniques in a sports environment.

Contact

You can contact me at w.w.l.nuijten@tue.nl

selected publications

  1. ProbProg
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    GraphPPL. jl: A Probabilistic Programming Language for Graphical Models
    Wouter W.L. Nuijten, Dmitry Bagaev, and Bert de Vries
    Entropy, 2024
  2. Active Inference
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    Reactive Environments for Active Inference Agents with RxEnvironments.jl
    Wouter W.L. Nuijten, and Bert de Vries
    In International Workshop on Active Inference, 2024