A Theory for Neural Networks with Time Delays. - Bert de Vries; José Carlos Príncipe (NIPS, 1990)

Modeling Applications with the Focused Gamma Net. - José Carlos Príncipe; Bert de Vries; Jyh-Ming Kuo; Pedro Guedes de Oliveira (NIPS, 1991)

Generalized feedforward structures: a new class of adaptive filters. - José C. Príncipe; Bert de Vries; Pedro Guedes de Oliveira (ICASSP, 1992)

The gamma model–A new neural model for temporal processing. - Bert de Vries; José Carlos Príncipe (Neural Networks, 1992)

Learning with target trajectory constraints for sequence classification tasks. - Bert de Vries; Leslie Dias; John C. Pearson (ICASSP (1), 1993)

The gamma-filter-a new class of adaptive IIR filters with restricted feedback. - José C. Príncipe; Bert de Vries; Pedro Guedes de Oliveira (IEEE Trans. Signal Process., 1993)

System of microphone arrays and neural networks for robust speech recognition in multimedia environments. - Qiguang Lin; Ea-Ee Jan; ChiWei Che; Bert de Vries (ICSLP, 1994)

Microphone Arrays and Neural Networks for Robust Speech Recognition. - ChiWei Che; Qiguang Lin; John C. Pearson; Bert de Vries; James L. Flanagan (HLT, 1994)

A Neural Network System for Large-Vocabulary Continuous Speech Recognition in Variable Acoustic Environments. - James L. Flanagan; Qiguang Lin; John C. Pearson; Bert de Vries (HLT, 1994)

Robust distant-talking speech recognition. - John C. Pearson; Qiguang Lin; ChiWei Che; Dong-Suk Yuk; Limin Jin; Bert de Vries; James L. Flanagan (ICASSP, 1996)

Adaptive rank filtering based on error minimization. - Bert de Vries (ICASSP, 1997)

Using 3D Geometric Constraints in Architectural Design Support Systems. - Bert de Vries; A. Joran Jessurun; Richard H. M. C. Kelleners (WSCG, 2000)

Interactive 3D Modeling in the Inception Phase of Architectural Design. - Bert de Vries; A. Joran Jessurun; Jarke J. van Wijk (Eurographics (Short Presentations), 2001)

Towards SNR-loss restoration in digital hearing AIDS. - Rob A. J. de Vries; Bert de Vries (ICASSP, 2002)

Incremental Utility Elicitation for Adaptive Personalization. - Tom Heskes; Bert de Vries (BNAIC, 2005)

Online Personalization of Hearing Instruments. - Alexander Ypma; Job Geurts; Serkan Özer; Erik van der Werf; Bert de Vries (EURASIP J. Audio Speech Music. Process., 2008)

Online Noise Estimation Using Stochastic-Gain HMM for Speech Enhancement. - David Yuheng Zhao; W. Bastiaan Kleijn; Alexander Ypma; Bert de Vries (IEEE Trans. Speech Audio Process., 2008)

Bayesian periodogram smoothing for speech enhancement. - Xueru Zhang; Alexander Ypma; Bert de Vries (ESANN, 2009)

Discrete Choice Models for Non-Intrusive Quality Assessment. - Petko Nikolov Petkov; W. Bastiaan Kleijn; Bert de Vries (INTERSPEECH, 2011)

An Adaptive Kalman Filter for ECG Signal Enhancement. - Rik Vullings; Bert de Vries; Jan W. M. Bergmans (IEEE Trans. Biomed. Eng., 2011)

A Probabilistic Modeling Approach to Hearing Loss Compensation. - Thijs van de Laar; Bert de Vries (IEEE ACM Trans. Audio Speech Lang. Process., 2016)

Variational stabilized linear forgetting in state-space models. - Thijs van de Laar; Marco Cox; Anouk van Diepen; Bert de Vries (EUSIPCO, 2017)

A Factor Graph Description of Deep Temporal Active Inference. - Bert de Vries; Karl J. Friston (Frontiers Comput. Neurosci., 2017)

Acoustic Scene Classification from Few Examples. - Ivan Bocharov; Tjalling J. Tjalkens; Bert de Vries (EUSIPCO, 2018)

Robust Expectation Propagation in Factor Graphs Involving Both Continuous and Binary Variables. - Marco Cox; Bert de Vries (EUSIPCO, 2018)

Online variational Message Passing in the Hierarchical Gaussian filter. - Ismail Senöz; Bert de Vries (MLSP, 2018)

Reparameterization Gradient Message Passing. - Semih Akbayrak; Bert de Vries (EUSIPCO, 2019)

Robust Bayesian Beamforming for Sources at Different Distances with Applications in Urban Monitoring. - Patrick W. A. Wijnings; Sander Stuijk; Bert de Vries; Henk Corporaal (ICASSP, 2019)

Simulating Active Inference Processes by Message Passing. - Thijs van de Laar; Bert de Vries (Frontiers Robotics AI, 2019)

A factor graph approach to automated design of Bayesian signal processing algorithms. - Marco Cox; Thijs van de Laar; Bert de Vries (Int. J. Approx. Reason., 2019)

Batman: Bayesian Target Modelling For Active Inference. - Magnus T. Koudahl; Bert de Vries (ICASSP, 2020)

Approximate Inference by Kullback-Leibler Tensor Belief Propagation. - Patrick W. A. Wijnings; Sander Stuijk; Bert de Vries; Henk Corporaal (ICASSP, 2020)

Online Variational Message Passing in Hierarchical Autoregressive Models. - Albert Podusenko; Wouter M. Kouw; Bert de Vries (ISIT, 2020)

Online Message Passing-based Inference in the Hierarchical Gaussian Filter. - Ismail Senöz; Bert de Vries (ISIT, 2020)

Learning Where to Park. - Burak Ergul; Thijs van de Laar; Magnus T. Koudahl; Martin Roa Villescas; Bert de Vries (IWAI, 2020)

A Worked Example of Fokker-Planck-Based Active Inference. - Magnus T. Koudahl; Bert de Vries (IWAI, 2020)

Bayesian joint state and parameter tracking in autoregressive models. - Ismail Senöz; Albert Podusenko; Wouter M. Kouw; Bert de Vries (L4DC, 2020)

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, 2020)

The Switching Hierarchical Gaussian Filter. - Ismail Senöz; Albert Podusenko; Semih Akbayrak; Christoph Mathys; Bert de Vries (ISIT, 2021)

Message Passing-Based Inference in the Gamma Mixture Model. - Albert Podusenko; Bart van Erp; Dmitry Bagaev; Ismail Senöz; Bert de Vries (MLSP, 2021)

Variational Log-Power Spectral Tracking for Acoustic Signals. - Bart van Erp; Ismail Senöz; Bert de Vries (SSP, 2021)

On Sequential Bayesian Optimization with Pairwise Comparison. - Tanya Ignatenko; Kirill Kondrashov; Marco Cox; Bert de Vries (CoRR, 2021)

Reactive Message Passing for Scalable Bayesian Inference. - Dmitry Bagaev; Bert de Vries (CoRR, 2021)

AIDA: An Active Inference-based Design Agent for Audio Processing Algorithms. - Albert Podusenko; Bart van Erp; Magnus T. Koudahl; Bert de Vries (CoRR, 2021)

Extended Variational Message Passing for Automated Approximate Bayesian Inference. - Semih Akbayrak; Ivan Bocharov; Bert de Vries (Entropy, 2021)

On Epistemics in Expected Free Energy for Linear Gaussian State Space Models. - Magnus T. Koudahl; Wouter M. Kouw; Bert de Vries (Entropy, 2021)

Message Passing-Based Inference for Time-Varying Autoregressive Models. - Albert Podusenko; Wouter M. Kouw; Bert de Vries (Entropy, 2021)

Variational Message Passing and Local Constraint Manipulation in Factor Graphs. - Ismail Senöz; Thijs van de Laar; Dmitry Bagaev; Bert de Vries (Entropy, 2021)

Bayesian Pure-Tone Audiometry Through Active Learning Under Informed Priors. - Marco Cox; Bert de Vries (Frontiers Digit. Health, 2021)

Hybrid Inference with Invertible Neural Networks in Factor Graphs. - Bart van Erp; Bert de Vries (EUSIPCO, 2022)

Gaussian Process-based Amortization of Variational Message Passing Update Rules. - Hoang M. H. Nguyen; Semih Akbayrak; Magnus T. Koudahl; Bert de Vries (EUSIPCO, 2022)

Message Passing-based Inference in Switching Autoregressive Models. - Albert Podusenko; Bart van Erp; Dmitry Bagaev; Ismail Senöz; Bert de Vries (EUSIPCO, 2022)

Contrastive Predictive Coding for Anomaly Detection of Fetal Health from the Cardiotocogram. - Bert de Vries; Iris A. M. Huijben; René D. Kok; Ruud J. G. van Sloun; Rik Vullings (ICASSP, 2022)

Adaptive Importance Sampling Message Passing. - Semih Akbayrak; Ismail Senöz; Bert de Vries (ISIT, 2022)

A Message Passing Perspective on Planning Under Active Inference. - Magnus T. Koudahl; Christopher L. Buckley; Bert de Vries (IWAI, 2022)

Online Single-Microphone Source Separation using Non-Linear Autoregressive Models. - Bart van Erp; Bert de Vries (PGM, 2022)

Efficient Model Evidence Computation in Tree-structured Factor Graphs. - Hoang M. H. Nguyen; Bart van Erp; Ismail Senöz; Bert de Vries (SiPS, 2022)

Principled Pruning of Bayesian Neural Networks through Variational Free Energy Minimization. - Jim Beckers; Bart van Erp; Ziyue Zhao; Kirill Kondrashov; Bert de Vries (CoRR, 2022)

Active Inference and Epistemic Value in Graphical Models. - Thijs van de Laar; Magnus T. Koudahl; Bart van Erp; Bert de Vries (Frontiers Robotics AI, 2022)

Probabilistic programming with stochastic variational message passing. - Semih Akbayrak; Ismail Senöz; Alp Sari; Bert de Vries (Int. J. Approx. Reason., 2022)

ReactiveMP.jl: A Julia package for reactive variational Bayesian inference. - Dmitry Bagaev; Bart van Erp; Albert Podusenko; Bert de Vries (Softw. Impacts, 2022)

Toward Design of Synthetic Active Inference Agents by Mere Mortals. - Bert de Vries (IWAI, 2023)

Efficient Bayesian Inference By Conjugate-Computation Variational Message Passing. - Mykola Lukashchuk; Ismail Senöz; Bert de Vries (MLSP, 2023)

Gaussian Process Amplitude Demodulation By Message-Passing. - Hoang M. H. Nguyen; Ismail Senöz; Bert de Vries (MLSP, 2023)

Realising Synthetic Active Inference Agents, Part II: Variational Message Updates. - Thijs van de Laar; Magnus T. Koudahl; Bert de Vries (CoRR, 2023)

Realising Synthetic Active Inference Agents, Part I: Epistemic Objectives and Graphical Specification Language. - Magnus T. Koudahl; Thijs van de Laar; Bert de Vries (CoRR, 2023)

RxInfer: A Julia package for reactive real-time Bayesian inference. - Dmitry Bagaev; Albert Podusenko; Bert de Vries (J. Open Source Softw., 2023)

Automating Model Comparison in Factor Graphs. - Bart van Erp; Wouter W. L. Nuijten; Thijs van de Laar; Bert de Vries (Entropy, 2023)

Multi-Agent Trajectory Planning with NUV Priors. - Bart van Erp; Dmitry Bagaev; Albert Podusenko; Ismail Senöz; Bert de Vries (ACC, 2024)

Message Passing-Based Bayesian Control of a Cart-Pole System. - Sepideh Adamiat; Wouter M. Kouw; Bart van Erp; Bert de Vries (IWAI, 2024)

Online Structure Learning with Dirichlet Processes Through Message Passing. - Bart van Erp; Wouter W. L. Nuijten; Bert de Vries (IWAI, 2024)

Reactive Environments for Active Inference Agents with RxEnvironments.jl. - Wouter W. L. Nuijten; Bert de Vries (IWAI, 2024)

Q-conjugate Message Passing for Efficient Bayesian Inference. - Mykola Lukashchuk; Ismail Senöz; Bert de Vries (PGM, 2024)

Improved Depth Estimation of Bayesian Neural Networks. - Bart van Erp; Bert de Vries (CoRR, 2024)

Bayesian Inference of Collision Avoidance Intent During Ship Encounters. - Chengfeng Jia; Jie Ma; Bert de Vries; Wouter M. Kouw (IEEE Trans Autom. Sci. Eng., 2025)

Expected Free Energy-based Planning as Variational Inference. - Bert de Vries; Wouter W. L. Nuijten; Thijs van de Laar; Wouter M. Kouw; Sepideh Adamiat; Tim Nisslbeck; Mykola Lukashchuk; Hoang Minh Huu Nguyen; Marco Hidalgo Araya; Raphael Tresor; Thijs Jenneskens; Ivana Nikoloska; et al. (CoRR, 2025)

A Message Passing Realization of Expected Free Energy Minimization. - Wouter W. L. Nuijten; Mykola Lukashchuk; Thijs van de Laar; Bert de Vries (CoRR, 2025)