@inproceedings{lukashchuk2024riemannian,title={Riemannian Black Box Variational Inference},author={Lukashchuk, Mykola and Nuijten, Wouter W.L. and Bagaev, Dmitry and Senoz, Ismail and Vries, Bert de},booktitle={NeurIPS 2024 Workshop on Bayesian Decision-making and Uncertainty},year={2024},month=dec,}
ProbProg
GraphPPL. jl: A Probabilistic Programming Language for Graphical Models
Wouter W.L. Nuijten, Dmitry Bagaev, and Bert de Vries
@article{nuijten2024graphppl,title={GraphPPL. jl: A Probabilistic Programming Language for Graphical Models},author={Nuijten, Wouter W.L. and Bagaev, Dmitry and Vries, Bert de},journal={Entropy},volume={26},number={11},pages={890},year={2024},publisher={MDPI},}
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
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 Vries, Bert de},booktitle={International Workshop on Active Inference},pages={147--161},year={2024},organization={Springer},}
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
@inproceedings{van2024online,title={Online Structure Learning with Dirichlet Processes Through Message Passing},author={Erp, Bart van and Nuijten, Wouter W.L. and Vries, Bert de},booktitle={International Workshop on Active Inference},pages={91--104},year={2024},organization={Springer},month=sep,}
Deep Learning
Node classification in random trees
Wouter W.L. Nuijten, and Vlado Menkovski
In International Symposium on Intelligent Data Analysis, May 2024
@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
Bayesian Inference
Automating Model Comparison in Factor Graphs
Bart van Erp, Wouter W.L. Nuijten, Thijs van de Laar, and 1 more author
@article{van2023automating,title={Automating Model Comparison in Factor Graphs},author={Erp, Bart van and Nuijten, Wouter W.L. and Laar, Thijs van de and Vries, Bert de},journal={Entropy},volume={25},number={8},pages={1138},year={2023},publisher={MDPI},}
2021
Database Tech
Easy Spark.
Ylaise van den Wildenberg, Wouter W.L. Nuijten, and Odysseas Papapetrou
@inproceedings{van2021easy,title={Easy Spark.},author={Wildenberg, Ylaise van den and Nuijten, Wouter W.L. and Papapetrou, Odysseas},booktitle={EDBT/ICDT Workshops},year={2021},}
2019
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
@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},}