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Publications
2024
Multiple variational Kalman-GRU for ship trajectory prediction with uncertainty
Chengfeng Jia
,
Jie Ma
,
Wouter Kouw
IEEE TAES
November, 2024
Details
PDF
Code
IEEE
GraphPPL.jl: A Probabilistic Programming Language for Graphical Models
Wouter Nuijten
,
Dmitry V. Bagaev
,
Bert de Vries
MDPI Entropy
October, 2024
Details
PDF
MDPI
Improved Depth Estimation of Bayesian Neural Networks
Bart van Erp
,
Bert de Vries
NeurIPS 2024 BDU
October, 2024
Details
PDF
Code
OpenReview
arXiv
Coupled autoregressive active inference agents for control of multi-joint dynamical systems
Tim Nisslbeck
,
Wouter Kouw
IWAI 2024
September, 2024
Details
PDF
Code
Message Passing-based Bayesian Control of a Cart-Pole System
Sepideh Adamiat
,
Wouter Kouw
,
Bart van Erp
,
Bert de Vries
IWAI 2024
September, 2024
Details
PDF
Online Structure Learning with Dirichlet Processes through Message Passing
Bart van Erp
,
Wouter Nuijten
,
Bert de Vries
IWAI 2024
September, 2024
Details
PDF
Code
Q-conjugate Message Passing for Efficient Bayesian Inference
Mykola Lukashchuk
,
Ismail Senoz
,
Bert de Vries
PGM 2024
September, 2024
Details
PDF
PMLR
Reactive Environments for Active Inference Agents with RxEnvironments.jl
Wouter Nuijten
,
Bert de Vries
IWAI 2024
September, 2024
Details
PDF
Code
IWAI
Planning to avoid ambiguous states through Gaussian approximations to non-linear sensors in active inference agents
Wouter Kouw
IWAI 2024
September, 2024
Details
PDF
Code
Bayesian grey-box identification of nonlinear convection effects in heat transfer dynamics
Wouter Kouw
,
Caspar Gruijthuisen
,
Lennart Blanken
,
Enzo Evers
,
Timothy Rogers
CCTA 2024
August, 2024
Details
PDF
Code
Multi-Agent Trajectory Planning with NUV Priors
Bart van Erp
,
Dmitry V. Bagaev
,
Albert Podusenko
,
Ismail Senoz
,
Bert de Vries
ACC 2024
July, 2024
Details
PDF
Code
IEEE
Bayesian inference of collision avoidance intent during ship encounters
Chengfeng Jia
,
Jie Ma
,
Bert de Vries
,
Wouter Kouw
IEEE TASE
April, 2024
Details
PDF
Code
IEEE
Context-Aware Preference Learning System Based on Dirichlet Process Gaussian Mixture Model
Xianbo Xu
,
Bart van Erp
,
Tanya Ignatenko
ICASSP 2024
March, 2024
Details
PDF
IEEE
2023
Information-seeking polynomial NARX model-predictive control through expected free energy minimization
Wouter Kouw
IEEE L-CSS
December, 2023
Details
PDF
Code
IEEE
Reactive Probabilistic Programming for Scalable Bayesian Inference
Dmitry V. Bagaev
PhD thesis
December, 2023
Details
PDF
Principled Pruning of Bayesian Neural Networks through Variational Free Energy Minimization
Jim Beckers
,
Bart van Erp
,
Ziyue Zhao
,
Kirill Kondrashov
,
Bert de Vries
IEEE Open Journal of Signal Processing
November, 2023
Details
PDF
Code
IEEE
arXiv
Gaussian Process Amplitude Demodulation by Message-Passing
Hoang Minh Huu Nguyen
,
Ismail Senoz
,
Bert de Vries
MLSP 2023
September, 2023
Details
PDF
Code
Efficient Bayesian Inference by Conjugate-computation Variational Message Passing
Mykola Lukashchuk
,
Ismail Senoz
,
Bert de Vries
MLSP 2023
September, 2023
Details
PDF
Code
Toward Design of Synthetic Active Inference Agents by Mere Mortals
Bert de Vries
IWAI 2023
September, 2023
Details
PDF
IWAI
arXiv
Automating Model Comparison in Factor Graphs
Bart van Erp
,
Wouter Nuijten
,
Thijs van de Laar
,
Bert de Vries
Entropy
July, 2023
Details
PDF
Code
Entropy
arXiv
Realising Synthetic Active Inference Agents, Part II: Variational Message Updates
Thijs van de Laar
,
Magnus Tønder Koudahl
,
Bert de Vries
arXiv
July, 2023
Details
PDF
arXiv
Realising Synthetic Active Inference Agents, Part I: Epistemic Objectives and Graphical Specification Language
Magnus Tønder Koudahl
,
Thijs van de Laar
,
Bert de Vries
arXiv
June, 2023
Details
PDF
arXiv
Reactive Message Passing for Scalable Bayesian Inference
Dmitry V. Bagaev
,
Bert de Vries
Scientific Programming
May, 2023
Details
PDF
Code
arXiv
RxInfer: A Julia package for reactive real-time Bayesian inference
Dmitry V. Bagaev
,
Albert Podusenko
,
Bert de Vries
JOSS
April, 2023
Details
PDF
Code
JOSS
Towards Universal Probabilistic Programming with Message Passing on Factor Graphs
Semih Akbayrak
PhD thesis
January, 2023
Details
PDF
2022
Message Passing-based Inference in Hierarchical Autoregressive Models
Albert Podusenko
PhD thesis
December, 2022
Details
PDF
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
Efficient Model Evidence Computation in Tree-structured Factor Graphs
Hoang Minh Huu Nguyen
,
Bart van Erp
,
Ismail Senoz
,
Bert de Vries
SiPS 2022
November, 2022
Details
PDF
Code
IEEE
Variational Bayes for Robust Radar Single Object Tracking
Alp Sari
,
Tak Kaneko
,
Lense Swaenen
,
Wouter Kouw
SiPS 2022
September, 2022
Details
PDF
IEEE
Online Single-Microphone Source Separation using Non-Linear Autoregressive Models
Bart van Erp
,
Bert de Vries
PGM 2022
September, 2022
Details
PDF
Code
PMLR
Gaussian Process-based Amortization of Variational Message Passing Update Rules
Hoang Minh Huu Nguyen
,
Semih Akbayrak
,
Magnus Tønder Koudahl
,
Bert de Vries
EUSIPCO 2022
September, 2022
Details
PDF
Code
IEEE
EURASIP
Hybrid Inference with Invertible Neural Networks in Factor Graphs
Bart van Erp
,
Bert de Vries
EUSIPCO 2022
September, 2022
Details
PDF
Video
Code
IEEE
EURASIP
Message Passing-based Inference in Switching Autoregressive Models
Albert Podusenko
,
Bart van Erp
,
Dmitry V. Bagaev
,
Ismail Senoz
,
Bert de Vries
EUSIPCO 2022
September, 2022
Details
PDF
Code
IEEE
EURASIP
Adaptive Importance Sampling Message Passing
Semih Akbayrak
,
Ismail Senoz
,
Bert de Vries
ISIT 2022
June, 2022
Details
PDF
Code
Experiments
IEEE
Message Passing Algorithms for Hierarchical Dynamical Models
Ismail Senoz
PhD thesis
June, 2022
Details
PDF
Probabilistic programming with stochastic variational message passing
Semih Akbayrak
,
Ismail Senoz
,
Alp Sari
,
Bert de Vries
Elsevier: IJAR
June, 2022
Details
PDF
Code
Experiments
Elsevier
Adaptive Optimizer Design for Constrained Variational Inference
Alp Sari
,
Semih Akbayrak
,
Ismail Senoz
,
Bert de Vries
SITB 2022
June, 2022
Details
PDF
SITB
ReactiveMP.jl: A Julia package for reactive variational Bayesian inference
Dmitry V. Bagaev
,
Albert Podusenko
,
Bart van Erp
,
Bert de Vries
Software Impacts
May, 2022
Details
Code
Software Impacts
Active Inference and Epistemic Value in Graphical Models
Thijs van de Laar
,
Magnus Tønder Koudahl
,
Bart van Erp
,
Bert de Vries
Frontiers in Robotics and AI
April, 2022
Details
PDF
Code
Frontiers
Variational message passing for online polynomial NARMAX identification
Wouter Kouw
,
Albert Podusenko
,
Magnus Tønder Koudahl
,
Maarten Schoukens
ACC 2022
April, 2022
Details
PDF
Code
AIDA: An Active Inference-Based Design Agent for Audio Processing Algorithms
Albert Podusenko
,
Bart van Erp
,
Magnus Tønder Koudahl
,
Bert de Vries
Frontiers
March, 2022
Details
PDF
Code
Frontiers
ReactiveMP.jl: A Julia Package for Reactive Message Passing-based Bayesian Inference
Dmitry V. Bagaev
,
Bert de Vries
JuliaCon 2021
January, 2022
Details
PDF
Code
JuliaCon 2021 Proceedings
Zenodo
2021
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 in the Gamma Mixture Model
Albert Podusenko
,
Bart van Erp
,
Dmitry V. Bagaev
,
Ismail Senoz
,
Bert de Vries
MLSP 2021
October, 2021
Details
PDF
Code
IEEE
A Bayesian Modeling Approach to Situated Design of Personalized Soundscaping Algorithms
Bart van Erp
,
Albert Podusenko
,
Tanya Ignatenko
,
Bert de Vries
Applied Sciences
October, 2021
Details
PDF
Code
Bayesian Pure-Tone Audiometry Through Active Learning Under Informed Priors
Marco Cox
,
Bert de Vries
Frontiers in Digital Health (2021)
August, 2021
Details
PDF
Project
Variational Log-Power Spectral Tracking for Acoustic Signals
Bart van Erp
,
Ismail Senoz
,
Bert de Vries
SSP 2021
July, 2021
Details
PDF
Video
Code
IEEE
The Switching Hierarchical Gaussian Filter
Ismail Senoz
,
Albert Podusenko
,
Semih Akbayrak
,
Christoph Mathys
,
Bert de Vries
ISIT 2021
July, 2021
Details
PDF
IEEE
Extended Variational Message Passing for Automated Approximate Bayesian Inference
Semih Akbayrak
,
Ivan Bocharov
,
Bert de Vries
Entropy
June, 2021
Details
PDF
Variational Message Passing and Local Constraint Manipulation in Factor Graphs
Ismail Senoz
,
Thijs van de Laar
,
Dmitry V. Bagaev
,
Bert de Vries
Entropy
June, 2021
Details
PDF
Message Passing-Based Inference for Time-Varying Autoregressive Models
Albert Podusenko
,
Wouter Kouw
,
Bert de Vries
Entropy
May, 2021
Details
PDF
Chance-Constrained Active Inference
Thijs van de Laar
,
Ismail Senoz
,
Ayça Özçelikkale
,
Henk Wymeersch
Neural Computation
May, 2021
Details
PDF
Code
A Probabilistic Approach to Situated Acoustic Road Event Detection
Mark Legters
M.Sc. thesis, TU Eindhoven
April, 2021
Details
PDF
2020
Learning Where to Park
Burak Ergul
,
Thijs van de Laar
,
Magnus Tønder Koudahl
,
Martin Roa Villescas
,
Bert de Vries
IWAI 2020
September, 2020
Details
PDF
A Worked Example of Fokker-Planck based Active Inference
Magnus Tønder Koudahl
,
Bert de Vries
IWAI 2020
September, 2020
Details
PDF
Code
Online system identification in a Duffing oscillator by free energy minimisation
Wouter Kouw
IWAI 2020
September, 2020
Details
PDF
Code
Springer
Online Message Passing-based Inference in the Hierarchical Gaussian Filter
Ismail Senoz
,
Bert de Vries
ISIT 2020
June, 2020
Details
PDF
IEEE
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
Real-time Audio Processing for Hearing Aids using a Model-Based Bayesian Inference Framework
Martin Roa Villescas
,
Bert de Vries
,
Sander Stuijk
,
Henk Corporaal
SCOPES ‘20
May, 2020
Details
PDF
A Real World Implementation of Active Inference
Burak Ergul
M.Sc. thesis, TU Eindhoven
May, 2020
Details
PDF
Approximate Inference by Kullback-Leibler Tensor Belief Propagation
Patrick Wijnings
,
Sander Stuijk
,
Bert de Vries
,
Henk Corporaal
ICASSP 2020
May, 2020
Details
PDF
BATMAN: BAyesian Target Modelling for Active iNference
Magnus Tønder Koudahl
,
Bert de Vries
ICASSP 2020
May, 2020
Details
PDF
IEEE
Schedule-free variational message passing for Bayesian filtering
Wouter Kouw
Neuromatch 2020
March, 2020
Details
PDF
Code
2019
Application of the Free Energy Principle to Estimation and Control
Thijs van de Laar
,
Ayça Özçelikkale
,
Henk Wymeersch
October, 2019
Details
PDF
Video
IEEE
Reparameterization Gradient Message Passing
Semih Akbayrak
,
Bert de Vries
EUSIPCO 2019
September, 2019
Details
PDF
Poster
IEEE
Automated Design of Bayesian Signal Processing Algorithms
Thijs van de Laar
PhD thesis
June, 2019
Details
PDF
Online Variational Message Passing in Autoregressive Models
Albert Podusenko
,
Wouter Kouw
,
Bert de Vries
SITB 2019
May, 2019
Details
PDF
Poster
Robust Bayesian beamforming for sources at different distances with applications in urban monitoring
Patrick Wijnings
,
Sander Stuijk
,
Bert de Vries
,
Henk Corporaal
ICASSP 2019
May, 2019
Details
PDF
Poster
Simulating Active Inference Processes by Message Passing
Thijs van de Laar
,
Bert de Vries
Frontiers in Robotics and AI
March, 2019
Details
PDF
A Factor Graph Approach to Automated Design of Bayesian Signal Processing Algorithms
Marco Cox
,
Thijs van de Laar
,
Bert de Vries
International Journal of Approximate Reasoning (2018), 10.1016/j.ijar.2018.11.002
January, 2019
Details
PDF
Project
2018
ForneyLab.jl: Fast and flexible automated inference through message passing in Julia
Marco Cox
,
Thijs van de Laar
,
Bert de Vries
ProbProg 2018
October, 2018
Details
PDF
Project
Online Variational Message Passing in the Hierarchical Gaussian Filter
Ismail Senoz
,
Bert de Vries
MLSP 2018
Best Student Paper award
September, 2018
Details
PDF
IEEE
ForneyLab: A Toolbox for Biologically Plausible Free Energy Minimization in Dynamic Neural Models
Thijs van de Laar
,
Marco Cox
,
Ismail Senoz
,
Ivan Bocharov
,
Bert de Vries
2018 Conference on Complex Systems
September, 2018
Details
PDF
Project
Acoustic Scene Classification from Few Examples
Ivan Bocharov
,
Tjalling Tjalkens
,
Bert de Vries
EUSIPCO 2018
September, 2018
Details
PDF
Slides
IEEE
Robust Expectation Propagation in Factor Graphs Involving Both Continuous and Binary Variables
Marco Cox
,
Bert de Vries
EUSIPCO 2018
September, 2018
Details
PDF
IEEE
ForneyLab.jl: a Julia Toolbox for Factor Graph-based Probabilistic Programming
Thijs van de Laar
,
Marco Cox
,
Bert de Vries
JuliaCon 2018
August, 2018
Details
PDF
Slides
Video
Project
A Probabilistic Modeling Approach to One-Shot Gesture Recognition
Anouk van Diepen
,
Marco Cox
,
Bert de Vries
arXiv:1806.11408
July, 2018
Details
PDF
Project
2017
K-shot learning of acoustic context
Ivan Bocharov
,
Bert de Vries
,
Tjalling Tjalkens
NIPS Workshop on Machine Learning for Audio Signal Processing
December, 2017
Details
PDF
Slides
A parametric approach to Bayesian optimization with pairwise comparisons
Marco Cox
,
Bert de Vries
NIPS Workshop on Bayesian Optimization
December, 2017
Details
PDF
A Factor Graph Description of Deep Temporal Active Inference
Bert de Vries
,
Karl J Friston
Frontiers in Computational Neuroscience 11:95, doi:10.3389/fncom.2017.00095
October, 2017
Details
PDF
Variational Stabilized Linear Forgetting in State-Space Models
Thijs van de Laar
,
Marco Cox
,
Anouk van Diepen
,
Bert de Vries
EUSIPCO 2017
September, 2017
Details
PDF
IEEE
A Probabilistic Modeling Approach to Hearing Loss Compensation
Thijs van de Laar
,
Bert de Vries
Benelearn 2017 conference
July, 2017
Details
PDF
Project
The graphical brain: belief propagation and active inference
Karl J Friston
,
Thomas Parr
,
Bert de Vries
Network Neuroscience, The MIT Press Journals, Vol.0
July, 2017
Details
PDF
A Gaussian process mixture prior for hearing loss modeling
Marco Cox
,
Bert de Vries
Benelearn 2017 conference
June, 2017
Details
PDF
Project
An In-situ Trainable Gesture Classifier
Anouk van Diepen
,
Marco Cox
,
Bert de Vries
Benelearn 2017 conference
June, 2017
Details
PDF
Project
Probabilistic Inference-based Reinforcement Learning
Quan (Eric) Nguyen
,
Bert de Vries
,
Tjalling Tjalkens
Benelearn 2017 conference
June, 2017
Details
PDF
2016
A Probabilistic Modeling Approach to Hearing Loss Compensation
Thijs van de Laar
,
Bert de Vries
IEEE/ACM Transactions on Audio, Speech, and Language Processing
November, 2016
Details
PDF
Project
2015
A Bayesian binary classification approach to pure tone audiometry
Marco Cox
,
Bert de Vries
September, 2015
Details
PDF
Project
2014
A Factor Graph Approach to Gaussian Process Preference Learning
Max Schoonderbeek
M.Sc. thesis, TU Eindhoven
October, 2014
Details
PDF
A Factor Graph Approach to Hearing Loss Compensation
Rene Duijkers
M.Sc. thesis, TU Eindhoven
October, 2014
Details
PDF
A Probabilistic Approach To Hearing Loss Compensation
Mojtaba Farmani
,
Bert de Vries
IEEE Machine Learning for Signal Processing workshop (MLSP), Reims (FR)
September, 2014
Details
PDF
2013
In-situ Personalization of Signal Processing Systems
Bert de Vries
Inaugural lecture report
September, 2013
Details
PDF
Video
A Machine Learning Framework for Bayesian Signal Processing
Timur Bagautdinov
M.Sc. thesis, TU Eindhoven
August, 2013
Details
PDF