Publications

2025

1. Active Inference

   

   A Message Passing Realization of Expected Free Energy Minimization

   Wouter W.L. Nuijten, Mykola Lukashchuk, Thijs van de Laar, and 1 more author

   In International Workshop on Active Inference, Oct 2025

   Marr Best Technical Paper Award arXiv Bib

   

   The paper was awarded the best technical paper award at the International Workshop on Active Inference 2025

   @inproceedings{nuijten2025message,
     title = {A Message Passing Realization of Expected Free Energy Minimization},
     author = {Nuijten, Wouter W.L. and Lukashchuk, Mykola and {van de Laar}, Thijs and {de Vries}, Bert},
     booktitle = {International Workshop on Active Inference},
     year = {2025},
     month = oct,
   }

2. Active Inference

   

   Message passing-based inference in an autoregressive active inference agent

   Wouter M. Kouw, Tim N. Nisslbeck, and Wouter W.L. Nuijten

   International Workshop on Active Inference, Oct 2025

   arXiv Bib

   

   @article{kouw2025message,
     title = {Message passing-based inference in an autoregressive active inference agent},
     author = {Kouw, Wouter M. and Nisslbeck, Tim N. and Nuijten, Wouter W.L.},
     journal = {International Workshop on Active Inference},
     year = {2025},
     month = oct,
   }

3. Active Inference

   

   Expected Free Energy-based Planning as Variational Inference

   Bert de Vries, Wouter W.L. Nuijten, Thijs van de Laar, and 13 more authors

   May 2025

   arXiv Bib

   

   @misc{devries2025expectedfreeenergybasedplanning,
     title = {Expected Free Energy-based Planning as Variational Inference},
     author = {{de Vries}, Bert and Nuijten, Wouter W.L. and {van de Laar}, Thijs and Kouw, Wouter M. and Adamiat, Sepideh and Nisslbeck, Tim and Lukashchuk, Mykola and Nguyen, Hoang Minh Huu and Araya, Marco Hidalgo and Tresor, Raphael and Jenneskens, Thijs and Nikoloska, Ivana and Subramanian, Raaja Ganapathy and {van Erp}, Bart and Bagaev, Dmitry and Podusenko, Albert},
     year = {2025},
     month = may,
     archiveprefix = {arXiv},
     primaryclass = {stat.ML},
     url = {https://arxiv.org/abs/2504.14898},
   }

2024

1. Bayesian Inference

   Riemannian Black Box Variational Inference

   Mykola Lukashchuk, Wouter W.L. Nuijten, Dmitry Bagaev, and 2 more authors

   In NeurIPS 2024 Workshop on Bayesian Decision-making and Uncertainty, Dec 2024

   Bib HTML

   

   @inproceedings{lukashchuk2024riemannian,
     title = {Riemannian Black Box Variational Inference},
     author = {Lukashchuk, Mykola and Nuijten, Wouter W.L. and Bagaev, Dmitry and Senoz, Ismail and {de Vries}, Bert},
     booktitle = {NeurIPS 2024 Workshop on Bayesian Decision-making and Uncertainty},
     year = {2024},
     month = dec,
   }

2. ProbProg

   

   GraphPPL. jl: A Probabilistic Programming Language for Graphical Models

   Wouter W.L. Nuijten, Dmitry Bagaev, and Bert de Vries

   Entropy, Dec 2024

   Bib HTML

   

   @article{nuijten2024graphppl,
     title = {GraphPPL. jl: A Probabilistic Programming Language for Graphical Models},
     author = {Nuijten, Wouter W.L. and Bagaev, Dmitry and {de Vries}, Bert},
     journal = {Entropy},
     volume = {26},
     number = {11},
     pages = {890},
     year = {2024},
     publisher = {MDPI},
   }

3. Active Inference

   

   Reactive Environments for Active Inference Agents with RxEnvironments.jl

   Wouter W.L. Nuijten, and Bert de Vries

   In International Workshop on Active Inference, Dec 2024

   Best Presentation arXiv Bib

   

   RxEnvironments was awarded the best presentation award at the International Workshop on Active Inference 2024

   @inproceedings{nuijten2024reactive,
     title = {Reactive Environments for Active Inference Agents with RxEnvironments.jl},
     author = {Nuijten, Wouter W.L. and {de Vries}, Bert},
     booktitle = {International Workshop on Active Inference},
     pages = {147--161},
     year = {2024},
     organization = {Springer},
   }

4. Bayesian Inference

   Online Structure Learning with Dirichlet Processes Through Message Passing

   Bart van Erp, Wouter W.L. Nuijten, and Bert de Vries

   In International Workshop on Active Inference, Sep 2024

   Bib HTML

   

   @inproceedings{van2024online,
     title = {Online Structure Learning with Dirichlet Processes Through Message Passing},
     author = {{van Erp}, Bart and Nuijten, Wouter W.L. and {de Vries}, Bert},
     booktitle = {International Workshop on Active Inference},
     pages = {91--104},
     year = {2024},
     organization = {Springer},
     month = sep,
   }

5. Deep Learning

   

   Node classification in random trees

   Wouter W.L. Nuijten, and Vlado Menkovski

   In International Symposium on Intelligent Data Analysis, May 2024

   arXiv Bib

   

   @inproceedings{nuijten2024node,
     title = {Node classification in random trees},
     author = {Nuijten, Wouter W.L. and Menkovski, Vlado},
     booktitle = {International Symposium on Intelligent Data Analysis},
     pages = {105--116},
     year = {2024},
     organization = {Springer},
     month = may,
   }

2023

1. Bayesian Inference

   Automating Model Comparison in Factor Graphs

   Bart van Erp, Wouter W.L. Nuijten, Thijs van de Laar, and 1 more author

   Entropy, May 2023

   arXiv Bib HTML

   

   @article{van2023automating,
     title = {Automating Model Comparison in Factor Graphs},
     author = {{van Erp}, Bart and Nuijten, Wouter W.L. and {van de Laar}, Thijs and {de Vries}, Bert},
     journal = {Entropy},
     volume = {25},
     number = {8},
     pages = {1138},
     year = {2023},
     publisher = {MDPI},
   }

2021

1. Database Tech

   

   Easy Spark.

   Ylaise van den Wildenberg, Wouter W.L. Nuijten, and Odysseas Papapetrou

   In EDBT/ICDT Workshops, May 2021

   Bib HTML

   

   @inproceedings{van2021easy,
     title = {Easy Spark.},
     author = {{van den Wildenberg}, Ylaise and Nuijten, Wouter W.L. and Papapetrou, Odysseas},
     booktitle = {EDBT/ICDT Workshops},
     year = {2021},
   }

2019

1. Eye Tracking

   

   Finding the outliers in scanpath data

   Michael Burch, Ayush Kumar, Klaus Mueller, and 5 more authors

   In Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications, May 2019

   Bib HTML

   

   @inproceedings{burch2019finding,
     title = {Finding the outliers in scanpath data},
     author = {Burch, Michael and Kumar, Ayush and Mueller, Klaus and Kervezee, Titus and Nuijten, Wouter and Oostenbach, Rens and Peeters, Lucas and Smit, Gijs},
     booktitle = {Proceedings of the 11th ACM Symposium on Eye Tracking Research \& Applications},
     pages = {1--5},
     year = {2019},
   }