Publications

Raaja Subramanian Ganapathy, Barry Moest, Bart Paarhuis
Partial state-feedback reduced-order switching predictive models for next-generation optical lithography systems
Control Engineering Practice
Mar 2026

Wouter Nuijten, Mykola Lukashchuk
Active Inference is a Subtype of Variational Inference
EurIPS workshop on Epistemic Intelligence in Machine Learning 2025
Nov 2025

Wouter Nuijten, Mykola Lukashchuk, Thijs van de Laar, Bert de Vries
A Message Passing Realization of Expected Free Energy Minimization
International Workshop on Active Inference 2025
Oct 2025

Wouter Kouw, Tim Nisslbeck, Wouter Nuijten
Message passing-based inference in an autoregressive active inference agent
International Workshop on Active Inference
Aug 2025

Hoang Minh Huu Nguyen, İsmail Şenöz, Bert de Vries
A Factor Graph Approach to Variational Sparse Gaussian Processes
IEEE Open Journal of Signal Processing
Jul 2025

Tim Nisslbeck, Wouter Kouw
Factor graph-based online Bayesian identification and component evaluation for multivariate autoregressive exogenous input models
MDPI Entropy | Special Issue on Advances in Probabilistic Machine Learning
Jun 2025

Bart van Erp
Automated Bayesian Hearing Aid Design
PhD thesis
Jun 2025

Mykola Lukashchuk, Dmitry Bagaev, Albert Podusenko, İsmail Şenöz, Bert de Vries
ExponentialFamilyManifolds.jl: Representing exponential families as Riemannian manifolds
Julia Conference
Apr 2025

Tim Nisslbeck, Wouter Kouw
Online Bayesian system identification in multivariate autoregressive models via message passing
IEEE European Control Conference
Mar 2025

Chengfeng Jia, Jie Ma, Wouter Kouw
Multiple variational Kalman-GRU for ship trajectory prediction with uncertainty
IEEE Transactions on Aerospace and Electronic Systems
Nov 2024

Wouter Nuijten, Dmitry Bagaev, Bert de Vries
GraphPPL.jl: A Probabilistic Programming Language for Graphical Models
MDPI Entropy
Oct 2024

Mykola Lukashchuk, Wouter Nuijten, Bvdimitri, İsmail Şenöz, Bert de Vries
Riemannian Black Box Variational Inference
NeurIPS Workshop on Bayesian Decision-making and Uncertainty
Oct 2024

Bart van Erp, Bert de Vries
Improved Depth Estimation of Bayesian Neural Networks
NeurIPS Workshop on Bayesian Decision-making and Uncertainty
Oct 2024

Wouter Nuijten, Bert de Vries
Reactive Environments for Active Inference Agents with RxEnvironments.jl
International Workshop on Active Inference
Sep 2024

Mykola Lukashchuk, İsmail Şenöz, Bert de Vries
Q-conjugate Message Passing for Efficient Bayesian Inference
International Conference on Probabilistic Graphical Models
Sep 2024

Bart van Erp, Wouter Nuijten, Bert de Vries
Online Structure Learning with Dirichlet Processes through Message Passing
International Workshop on Active Inference
Sep 2024

Sepideh Adamiat, Wouter Kouw, Bart van Erp, Bert de Vries
Message Passing-based Bayesian Control of a Cart-Pole System
International Workshop on Active Inference
Sep 2024

Tim Nisslbeck, Wouter Kouw
Coupled autoregressive active inference agents for control of multi-joint dynamical systems
International Workshop on Active Inference
Sep 2024

Wouter Kouw
Planning to avoid ambiguous states through Gaussian approximations to non-linear sensors in active inference agents
International Workshop on Active Inference
Sep 2024

Wouter Kouw, Caspar Gruijthuijsen, Lennart Blanken, Enzo Evers, Timothy Rogers
Bayesian grey-box identification of nonlinear convection effects in heat transfer dynamics
IEEE Conference on Control Technology and Applications
Aug 2024

Bart van Erp, Dmitry Bagaev, Albert Podusenko, İsmail Şenöz, Bert de Vries
Multi-Agent Trajectory Planning with NUV Priors
IEEE American Control Conference
Jul 2024

Chengfeng Jia, Jie Ma, Bert de Vries, Wouter Kouw
Bayesian inference of collision avoidance intent during ship encounters
IEEE Transactions on Automation Science and Engineering
Apr 2024

Xianbo Xu, Bart van Erp, Tanya Ignatenko
Context-aware preference learning system based on Dirichlet process Gaussian mixture model
IEEE International Conference on Acoustics, Speech and Signal Processing
Mar 2024

Wouter Kouw
Information-seeking polynomial NARX model-predictive control through expected free energy minimization
IEEE Control Systems Letters
Dec 2023

Dmitry Bagaev
Reactive Probabilistic Programming for Scalable Bayesian Inference
PhD thesis
Dec 2023

Jim Beckers, Bart van Erp, Ziyue Zhao, Kirill Kondrashov, Bert de Vries
Principled Pruning of Bayesian Neural Networks through Variational Free Energy Minimization
IEEE Open Journal of Signal Processing
Nov 2023

Hoang Minh Huu Nguyen, İsmail Şenöz, Bert de Vries
Gaussian Process Amplitude Demodulation by Message-Passing
IEEE International Workshop on Machine Learning for Signal Processing
Sep 2023

Mykola Lukashchuk, İsmail Şenöz, Bert de Vries
Efficient Bayesian Inference by Conjugate-computation Variational Message Passing
IEEE International Workshop on Machine Learning for Signal Processing
Sep 2023

Bert de Vries
Toward Design of Synthetic Active Inference Agents by Mere Mortals
International Workshop on Active Inference
Sep 2023

Bart van Erp, Wouter Nuijten, Thijs van de Laar, Bert de Vries
Automating model comparison in factor graphs
Entropy: Special issue on Probabilistic Models in Machine and Human Learning
Jul 2023

Thijs van de Laar, Magnus Koudahl, Bert de Vries
Realising Synthetic Active Inference Agents, Part II: Variational Message Updates
Neural Computation
Jul 2023

Magnus Koudahl, Thijs van de Laar, Bert de Vries
Realising Synthetic Active Inference Agents, Part I: Epistemic Objectives and Graphical Specification Language
arXiv
Jun 2023

Dmitry Bagaev, Bert de Vries
Reactive Message Passing for Scalable Bayesian Inference
Scientific Programming
May 2023

Dmitry Bagaev, Albert Podusenko, Bert de Vries
RxInfer: A Julia package for reactive real-time Bayesian inference
Journal of Open Source Software
Apr 2023

Semih Akbayrak
Towards Universal Probabilistic Programming with Message Passing on Factor Graphs
PhD thesis
Jan 2023

Albert Podusenko
Message Passing-based Inference in Hierarchical Autoregressive Models
PhD thesis
Dec 2022

Albert Podusenko, Semih Akbayrak, İsmail Şenöz, Maarten Schoukens, Wouter Kouw
Message Passing-based System Identification for NARMAX Models
IEEE Conference on Decision and Control
Dec 2022

Hoang Minh Huu Nguyen, Bart van Erp, İsmail Şenöz, Bert de Vries
Efficient Model Evidence Computation in Tree-structured Factor Graphs
IEEE Workshop on Signal Processing Systems
Nov 2022

Alp Sari, Tak Kaneko, Lense Swaenen, Wouter Kouw
Variational Bayes for Robust Radar Single Object Tracking
IEEE International Workshop on Signal Processing Systems
Sep 2022

Bart van Erp, Bert de Vries
Online Single-Microphone Source Separation using Non-Linear Autoregressive Models
International Conference on Probabilistic Graphical Models
Sep 2022

Bart van Erp, Bert de Vries
Hybrid Inference with Invertible Neural Networks in Factor Graphs
IEEE European Signal Processing Conference
Sep 2022

Albert Podusenko, Bart van Erp, Dmitry Bagaev, Bert de Vries
Message Passing-based Inference in Switching Autoregressive Models
IEEE European Signal Processing Conference
Sep 2022

Hoang Minh Huu Nguyen, Semih Akbayrak, Magnus Koudahl, Bert de Vries
Gaussian Process-based Amortization of Variational Message Passing Update Rules
European Signal Processing Conference
Sep 2022

Semih Akbayrak, İsmail Şenöz, Bert de Vries
Adaptive importance sampling message passing
IEEE International Symposium on Information Theory
Jun 2022

İsmail Şenöz
Message Passing Algorithms for Hierarchical Dynamical Models
PhD thesis
Jun 2022

Semih Akbayrak, İsmail Şenöz, Alp Sari, Bert de Vries
Probabilistic programming with stochastic variational message passing
International Journal of Approximate Reasoning
Jun 2022

Alp Sarı, Semih Akbayrak, İsmail Şenöz, Bert de Vries
Adaptive Optimizer Design for Constrained Variational Inference
Symposium on Information Theory in the Benelux
Jun 2022

Dmitry Bagaev, Bart van Erp, Albert Podusenko, Bert de Vries
ReactiveMP.jl: A Julia package for reactive variational Bayesian inference
Software Impacts
May 2022

Thijs van de Laar, Magnus Koudahl, Bart van Erp, Bert de Vries
Active Inference and Epistemic Value in Graphical Models
Frontiers in Robotics and AI
Apr 2022

Wouter Kouw, Albert Podusenko, Magnus Koudahl, Maarten Schoukens
Variational message passing for online polynomial NARMAX identification
IEEE American Control Conference
Apr 2022

Albert Podusenko, Bart van Erp, Magnus Koudahl, Bert de Vries
AIDA: An active inference-Based design agent for audio processing algorithms
Frontiers in Signal Processing
Mar 2022

Dmitry Bagaev, Bert de Vries
ReactiveMP.jl: A Julia package for reactive message passing-based Bayesian inference
Julia Conference
Jan 2022

Magnus Koudahl, Wouter Kouw, Bert de Vries
On Epistemics in Expected Free Energy for Linear Gaussian State Space Models
Entropy, Special Issue on Emerging Methods in Active Inference
Nov 2021

Albert Podusenko, Bart van Erp, Dmitry Bagaev, İsmail Şenöz, Bert de Vries
Message Passing-Based Inference in the Gamma Mixture Model
IEEE International Workshop on Machine Learning for Signal Processing
Oct 2021

Bart van Erp, Albert Podusenko, Tanya Ignatenko, Bert de Vries
A Bayesian Modeling Approach to Situated Design of Personalized Soundscaping Algorithms
Applied Sciences: Special Issue on AI, Machine Learning and Deep Learning in Signal Processing
Oct 2021

Marco Cox, Bert de Vries
Bayesian pure-tone audiometry through active learning under informed priors
Frontiers in Digital Health (2021)
Aug 2021

Bart van Erp, İsmail Şenöz, Bert de Vries
Variational Log-Power Spectral Tracking for Acoustic Signals
IEEE Statistical Signal Processing Workshop
Jul 2021

İsmail Şenöz, Albert Podusenko, Semih Akbayrak, Christoph Mathys, Bert de Vries
The Switching Hierarchical Gaussian Filter
IEEE International Symposium on Information Theory
Jul 2021

Semih Akbayrak, Ivan Bocharov, Bert de Vries
Extended Variational Message Passing for Automated Approximate Bayesian Inference
Entropy. Special Issue on Bayesian Inference in Probabilistic Graphical Models
Jun 2021

İsmail Şenöz, Thijs van de Laar, Dmitry Bagaev, Bert de Vries
Variational Message Passing and Local Constraint Manipulation in Factor Graphs
Entropy: Special Issue on Approximate Bayesian Inference
Jun 2021

Albert Podusenko, Wouter Kouw, Bert de Vries
Message Passing-Based Inference for Time-Varying Autoregressive Models
MDPI Entropy. Special Issue on Bayesian Inference in Probabilistic Graphical Models
May 2021

Thijs van de Laar, İsmail Şenöz, Ayça Özçelikkale, Henk Wymeersch
Chance-constrained active inference
Neural Computation
May 2021

Burak Ergul, Thijs van de Laar, Magnus Koudahl, Martin Roa-Villescas, Bert de Vries
Learning Where to Park
International Workshop on Active Inference
Sep 2020

Wouter Kouw
Online system identification in a Duffing oscillator by free energy minimisation
International Workshop on Active Inference
Sep 2020

Magnus Koudahl, Bert de Vries
A Worked Example of Fokker-Planck based Active Inference
International Workshop on Active Inference
Sep 2020

Albert Podusenko, Wouter Kouw, Bert de Vries
Online Variational Message Passing in Hierarchical Autoregressive Models
IEEE International Symposium on Information Theory
Jun 2020

İsmail Şenöz, Bert de Vries
Online Message Passing-based Inference in the Hierarchical Gaussian Filter
IEEE International Symposium on Information Theory
Jun 2020

İsmail Şenöz, Albert Podusenko, Wouter Kouw, Bert de Vries
Bayesian joint state and parameter tracking in autoregressive models
Conference on Learning for Dynamics & Control
Jun 2020

Martin Roa-Villescas, Bert de Vries, Sander Stuijk, Henk Corporaal
Real-time Audio Processing for Hearing Aids using a Model-Based Bayesian Inference Framework
International Workshop on Software and Compilers for Embedded Systems
May 2020

Magnus Koudahl, Bert de Vries
BATMAN: Bayesian target modelling for active inference
IEEE International Conference on Acoustics, Speech and Signal Processing
May 2020

Patrick Wijnings, Sander Stuijk, Bert de Vries, Henk Corporaal
Approximate Inference by Kullback-Leibler Tensor Belief Propagation
IEEE International Conference on Acoustics, Speech and Signal Processing
May 2020

Wouter Kouw
Schedule-free variational message passing for Bayesian filtering
Neuromatch Conference
Mar 2020

Thijs van de Laar, Ayça Özçelikkale, Henk Wymeersch
Application of the free energy principle to estimation and control
IEEE Transactions on Signal Processing
Oct 2019

Semih Akbayrak, Bert de Vries
Reparameterization Gradient Message Passing
IEEE European Signal Processing Conference
Sep 2019

Thijs van de Laar
Automated design of Bayesian signal processing algorithms
PhD thesis
Jun 2019

Albert Podusenko, Wouter Kouw, Bert de Vries
Online Variational Message Passing in Autoregressive Models
WIC Symposium on Information Theory in the Benelux
May 2019

Patrick Wijnings, Sander Stuijk, Bert de Vries, Henk Corporaal
Robust Bayesian beamforming for sources at different distances with applications in urban monitoring
IEEE International Conference on Acoustics, Speech and Signal Processing
May 2019

Thijs van de Laar, Bert de Vries
Simulating Active Inference Processes by Message Passing
Frontiers in Robotics and AI
Mar 2019

Marco Cox, Thijs van de Laar, Bert de Vries
A Factor Graph Approach to Automated Design of Bayesian Signal Processing Algorithms
International Journal of Approximate Reasoning
Jan 2019

Marco Cox, Thijs van de Laar, Bert de Vries
ForneyLab.jl: Fast and flexible automated inference through message passing in Julia
International Conference on Probabilistic Programming
Oct 2018

İsmail Şenöz, Bert de Vries
Online Variational Message Passing in the Hierarchical Gaussian Filter
IEEE International Workshop on Machine Learning for Signal Processing
Sep 2018

Thijs van de Laar, Marco Cox, İsmail Şenöz, Ivan Bocharov, Bert de Vries
ForneyLab: A Toolbox for Biologically Plausible Free Energy Minimization in Dynamic Neural Models
Conference on Complex Systems
Sep 2018

Ivan Bocharov, Tjalling Tjalkens, Bert de Vries
Acoustic scene classification from few examples
IEEE European Signal Processing Conference
Sep 2018

Marco Cox, Bert de Vries
Robust Expectation Propagation in Factor Graphs Involving Both Continuous and Binary Variables
IEEE European Signal Processing Conference
Sep 2018

Thijs van de Laar, Marco Cox, Bert de Vries
ForneyLab.jl: a Julia Toolbox for Factor Graph-based Probabilistic Programming
Julia Conference
Aug 2018

Anouk, Marco Cox, Bert de Vries
A Probabilistic Modeling Approach to One-Shot Gesture Recognition
ArXiv
Jul 2018

Ivan Bocharov, Bert de Vries, Tjalling Tjalkens
K-shot learning of acoustic context
NeurIPS Workshop on Machine Learning for Audio Signal Processing
Dec 2017

Marco Cox, Bert de Vries
A parametric approach to Bayesian optimization with pairwise comparisons
NeurIPS Workshop on Bayesian Optimization
Dec 2017

Bert de Vries, Karl J Friston
A factor graph description of deep temporal active inference
Frontiers in Computational Neuroscience
Oct 2017

Thijs van de Laar, Marco Cox, Anouk, Bert de Vries
Variational Stabilized Linear Forgetting in State-Space Models
IEEE European Signal Processing Conference
Sep 2017

Thijs van de Laar, Bert de Vries
A probabilistic modeling approach to hearing loss compensation
Belgian Dutch Conference on Machine Learning
Jul 2017

Karl Friston, Thomas Parr, Bert de Vries
The graphical brain: Belief propagation and active inference
Network Neuroscience
Jul 2017

Eric Nguyen, Bert de Vries, Tjalling Tjalkens
Probabilistic Inference-based Reinforcement Learning
Belgian Dutch Conference on Machine Learning
Jun 2017

Anouk Van Diepen, Marco Cox, Bert de Vries
An In-situ Trainable Gesture Classifier
Belgian Dutch Conference on Machine Learning
Jun 2017

Marco Cox, Bert de Vries
A Gaussian process mixture prior for hearing loss modeling
Belgian Dutch Conference on Machine Learning
Jun 2017

Thijs van de Laar, Bert de Vries
A Probabilistic Modeling Approach to Hearing Loss Compensation
IEEE/ACM Transactions on Audio, Speech, and Language Processing
Nov 2016

Marco Cox, Bert de Vries
A Bayesian binary classification approach to pure tone audiometry
ArXiv
Sep 2015

Mojtaba Farmani, Bert de Vries
A Probabilistic Approach To Hearing Loss Compensation
IEEE International Workshop on Machine Learning for Signal Processing
Sep 2014