Bert de Vries - RankMe

88 papers A 1B 5C 2Misc 9Journal 40Unranked 31

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Probabilistic Generative Model for Spectral Speech Enhancement. CoRR Marco D. Hidalgo-Araya, Raphael Tresor, Bart van Erp, Wouter W. L. Nuijten, Thijs van de Laar, Bert de Vries
2026	J	`jnl`	Active Inference for Physical AI Agents - An Engineering Perspective. CoRR Bert de Vries
2025	J	`jnl`	A Message Passing Realization of Expected Free Energy Minimization. CoRR Wouter W. L. Nuijten, Mykola Lukashchuk, Thijs van de Laar, Bert de Vries
2025	J	`jnl`	A Spiking Neural Network Implementation of Gaussian Belief Propagation. CoRR Sepideh Adamiat, Wouter M. Kouw, Bert de Vries
2025	J	`jnl`	Bayesian Inference of Collision Avoidance Intent During Ship Encounters. IEEE Trans Autom. Sci. Eng. Chengfeng Jia, Jie Ma, Bert de Vries, Wouter M. Kouw
2025	J	`jnl`	Expected Free Energy-based Planning as Variational Inference. CoRR 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 D. Hidalgo-Araya, Raphael Tresor, Thijs Jenneskens, Ivana Nikoloska, Raaja Ganapathy Subramanian, Bart van Erp, Dmitry Bagaev, Albert Podusenko
2025	J	`jnl`	On preference learning based on sequential Bayesian optimization with pairwise comparison. Artif. Intell. Tanya Ignatenko, Kirill Kondrashov, Marco Cox, Bert de Vries
2025	J	`jnl`	Spike-Timing-Dependent Plasticity for Bernoulli Message Passing. CoRR Sepideh Adamiat, Wouter M. Kouw, Bert de Vries
2024	J	`jnl`	GraphPPL.jl: A Probabilistic Programming Language for Graphical Models. Entropy Wouter W. L. Nuijten, Dmitry Bagaev, Bert de Vries
2024	J	`jnl`	Improved Depth Estimation of Bayesian Neural Networks. CoRR Bart van Erp, Bert de Vries
2024	—	`conf`	Message Passing-Based Bayesian Control of a Cart-Pole System. IWAI Sepideh Adamiat, Wouter M. Kouw, Bart van Erp, Bert de Vries
2024	C	`conf`	Multi-Agent Trajectory Planning with NUV Priors. ACC Bart van Erp, Dmitry Bagaev, Albert Podusenko, Ismail Senöz, Bert de Vries
2024	—	`conf`	Online Structure Learning with Dirichlet Processes Through Message Passing. IWAI Bart van Erp, Wouter W. L. Nuijten, Bert de Vries
2024	—	`conf`	Q-conjugate Message Passing for Efficient Bayesian Inference. PGM Mykola Lukashchuk, Ismail Senöz, Bert de Vries
2024	—	`conf`	Reactive Environments for Active Inference Agents with RxEnvironments.jl. IWAI Wouter W. L. Nuijten, Bert de Vries
2024	J	`jnl`	Reactive Environments for Active Inference Agents with RxEnvironments.jl. CoRR Wouter W. L. Nuijten, Bert de Vries
2023	J	`jnl`	Automating Model Comparison in Factor Graphs. CoRR Bart van Erp, Wouter W. L. Nuijten, Thijs van de Laar, Bert de Vries
2023	J	`jnl`	Automating Model Comparison in Factor Graphs. Entropy Bart van Erp, Wouter W. L. Nuijten, Thijs van de Laar, Bert de Vries
2023	—	`conf`	Efficient Bayesian Inference By Conjugate-Computation Variational Message Passing. MLSP Mykola Lukashchuk, Ismail Senöz, Bert de Vries
2023	—	`conf`	Gaussian Process Amplitude Demodulation By Message-Passing. MLSP Hoang M. H. Nguyen, Ismail Senöz, Bert de Vries
2023	J	`jnl`	Realising Synthetic Active Inference Agents, Part I: Epistemic Objectives and Graphical Specification Language. CoRR Magnus T. Koudahl, Thijs van de Laar, Bert de Vries
2023	J	`jnl`	Realising Synthetic Active Inference Agents, Part II: Variational Message Updates. CoRR Thijs van de Laar, Magnus T. Koudahl, Bert de Vries
2023	J	`jnl`	RxInfer: A Julia package for reactive real-time Bayesian inference. J. Open Source Softw. Dmitry Bagaev, Albert Podusenko, Bert de Vries
2023	—	`conf`	Toward Design of Synthetic Active Inference Agents by Mere Mortals. IWAI Bert de Vries
2023	J	`jnl`	Toward Design of Synthetic Active Inference Agents by Mere Mortals. CoRR Bert de Vries
2022	—	`conf`	A Message Passing Perspective on Planning Under Active Inference. IWAI Magnus T. Koudahl, Christopher L. Buckley, Bert de Vries
2022	J	`jnl`	Active Inference and Epistemic Value in Graphical Models. Frontiers Robotics AI Thijs van de Laar, Magnus T. Koudahl, Bart van Erp, Bert de Vries
2022	B	`conf`	Adaptive Importance Sampling Message Passing. ISIT Semih Akbayrak, Ismail Senöz, Bert de Vries
2022	Misc	`conf`	Contrastive Predictive Coding for Anomaly Detection of Fetal Health from the Cardiotocogram. ICASSP Bert de Vries, Iris A. M. Huijben, René D. Kok, Ruud J. G. van Sloun, Rik Vullings
2022	—	`conf`	Efficient Model Evidence Computation in Tree-structured Factor Graphs. SiPS Hoang M. H. Nguyen, Bart van Erp, Ismail Senöz, Bert de Vries
2022	—	`conf`	Gaussian Process-based Amortization of Variational Message Passing Update Rules. EUSIPCO Hoang M. H. Nguyen, Semih Akbayrak, Magnus T. Koudahl, Bert de Vries
2022	—	`conf`	Hybrid Inference with Invertible Neural Networks in Factor Graphs. EUSIPCO Bart van Erp, Bert de Vries
2022	—	`conf`	Message Passing-based Inference in Switching Autoregressive Models. EUSIPCO Albert Podusenko, Bart van Erp, Dmitry Bagaev, Ismail Senöz, Bert de Vries
2022	—	`conf`	Online Single-Microphone Source Separation using Non-Linear Autoregressive Models. PGM Bart van Erp, Bert de Vries
2022	J	`jnl`	Principled Pruning of Bayesian Neural Networks through Variational Free Energy Minimization. CoRR Jim Beckers, Bart van Erp, Ziyue Zhao, Kirill Kondrashov, Bert de Vries
2022	J	`jnl`	Probabilistic programming with stochastic variational message passing. Int. J. Approx. Reason. Semih Akbayrak, Ismail Senöz, Alp Sari, Bert de Vries
2022	J	`jnl`	ReactiveMP.jl: A Julia package for reactive variational Bayesian inference. Softw. Impacts Dmitry Bagaev, Bart van Erp, Albert Podusenko, Bert de Vries
2021	J	`jnl`	AIDA: An Active Inference-based Design Agent for Audio Processing Algorithms. CoRR Albert Podusenko, Bart van Erp, Magnus T. Koudahl, Bert de Vries
2021	J	`jnl`	Active Inference and Epistemic Value in Graphical Models. CoRR Thijs van de Laar, Magnus T. Koudahl, Bart van Erp, Bert de Vries
2021	J	`jnl`	Bayesian Pure-Tone Audiometry Through Active Learning Under Informed Priors. Frontiers Digit. Health Marco Cox, Bert de Vries
2021	J	`jnl`	Extended Variational Message Passing for Automated Approximate Bayesian Inference. Entropy Semih Akbayrak, Ivan Bocharov, Bert de Vries
2021	J	`jnl`	Message Passing-Based Inference for Time-Varying Autoregressive Models. Entropy Albert Podusenko, Wouter M. Kouw, Bert de Vries
2021	—	`conf`	Message Passing-Based Inference in the Gamma Mixture Model. MLSP Albert Podusenko, Bart van Erp, Dmitry Bagaev, Ismail Senöz, Bert de Vries
2021	J	`jnl`	On Epistemics in Expected Free Energy for Linear Gaussian State Space Models. Entropy Magnus T. Koudahl, Wouter M. Kouw, Bert de Vries
2021	J	`jnl`	On Sequential Bayesian Optimization with Pairwise Comparison. CoRR Tanya Ignatenko, Kirill Kondrashov, Marco Cox, Bert de Vries
2021	J	`jnl`	Reactive Message Passing for Scalable Bayesian Inference. CoRR Dmitry Bagaev, Bert de Vries
2021	B	`conf`	The Switching Hierarchical Gaussian Filter. ISIT Ismail Senöz, Albert Podusenko, Semih Akbayrak, Christoph Mathys, Bert de Vries
2021	—	`conf`	Variational Log-Power Spectral Tracking for Acoustic Signals. SSP Bart van Erp, Ismail Senöz, Bert de Vries
2021	J	`jnl`	Variational Message Passing and Local Constraint Manipulation in Factor Graphs. Entropy Ismail Senöz, Thijs van de Laar, Dmitry Bagaev, Bert de Vries
2020	—	`conf`	A Worked Example of Fokker-Planck-Based Active Inference. IWAI Magnus T. Koudahl, Bert de Vries
2020	Misc	`conf`	Approximate Inference by Kullback-Leibler Tensor Belief Propagation. ICASSP Patrick W. A. Wijnings, Sander Stuijk, Bert de Vries, Henk Corporaal
2020	Misc	`conf`	Batman: Bayesian Target Modelling For Active Inference. ICASSP Magnus T. Koudahl, Bert de Vries
2020	—	`conf`	Bayesian joint state and parameter tracking in autoregressive models. L4DC Ismail Senöz, Albert Podusenko, Wouter M. Kouw, Bert de Vries
2020	—	`conf`	Learning Where to Park. IWAI Burak Ergul, Thijs van de Laar, Magnus T. Koudahl, Martin Roa Villescas, Bert de Vries
2020	B	`conf`	Online Message Passing-based Inference in the Hierarchical Gaussian Filter. ISIT Ismail Senöz, Bert de Vries
2020	B	`conf`	Online Variational Message Passing in Hierarchical Autoregressive Models. ISIT Albert Podusenko, Wouter M. Kouw, Bert de Vries
2020	C	`conf`	Real-time audio processing for hearing aids using a model-based bayesian inference framework. SCOPES Martin Roa Villescas, Bert de Vries, Sander Stuijk, Henk Corporaal
2019	J	`jnl`	A factor graph approach to automated design of Bayesian signal processing algorithms. Int. J. Approx. Reason. Marco Cox, Thijs van de Laar, Bert de Vries
2019	—	`conf`	Reparameterization Gradient Message Passing. EUSIPCO Semih Akbayrak, Bert de Vries
2019	Misc	`conf`	Robust Bayesian Beamforming for Sources at Different Distances with Applications in Urban Monitoring. ICASSP Patrick W. A. Wijnings, Sander Stuijk, Bert de Vries, Henk Corporaal
2019	J	`jnl`	Simulating Active Inference Processes by Message Passing. Frontiers Robotics AI Thijs van de Laar, Bert de Vries
2018	J	`jnl`	A Factor Graph Approach to Automated Design of Bayesian Signal Processing Algorithms. CoRR Marco Cox, Thijs van de Laar, Bert de Vries
2018	—	`conf`	Acoustic Scene Classification from Few Examples. EUSIPCO Ivan Bocharov, Tjalling J. Tjalkens, Bert de Vries
2018	—	`conf`	Online variational Message Passing in the Hierarchical Gaussian filter. MLSP Ismail Senöz, Bert de Vries
2018	—	`conf`	Robust Expectation Propagation in Factor Graphs Involving Both Continuous and Binary Variables. EUSIPCO Marco Cox, Bert de Vries
2017	J	`jnl`	A Factor Graph Description of Deep Temporal Active Inference. Frontiers Comput. Neurosci. Bert de Vries, Karl J. Friston
2017	—	`conf`	Variational stabilized linear forgetting in state-space models. EUSIPCO Thijs van de Laar, Marco Cox, Anouk van Diepen, Bert de Vries
2016	J	`jnl`	A Probabilistic Modeling Approach to Hearing Loss Compensation. IEEE ACM Trans. Audio Speech Lang. Process. Thijs van de Laar, Bert de Vries
2011	J	`jnl`	An Adaptive Kalman Filter for ECG Signal Enhancement. IEEE Trans. Biomed. Eng. Rik Vullings, Bert de Vries, Jan W. M. Bergmans
2011	A	`conf`	Discrete Choice Models for Non-Intrusive Quality Assessment. INTERSPEECH Petko Nikolov Petkov, W. Bastiaan Kleijn, Bert de Vries
2009	B	`conf`	Bayesian periodogram smoothing for speech enhancement. ESANN Xueru Zhang, Alexander Ypma, Bert de Vries
2008	J	`jnl`	Online Noise Estimation Using Stochastic-Gain HMM for Speech Enhancement. IEEE Trans. Speech Audio Process. David Yuheng Zhao, W. Bastiaan Kleijn, Alexander Ypma, Bert de Vries
2008	J	`jnl`	Online Personalization of Hearing Instruments. EURASIP J. Audio Speech Music. Process. Alexander Ypma, Job Geurts, Serkan Özer, Erik van der Werf, Bert de Vries
2005	—	`conf`	Incremental Utility Elicitation for Adaptive Personalization. BNAIC Tom Heskes, Bert de Vries
2002	Misc	`conf`	Towards SNR-loss restoration in digital hearing AIDS. ICASSP Rob A. J. de Vries, Bert de Vries
2001	—	`conf`	Interactive 3D Modeling in the Inception Phase of Architectural Design. Eurographics (Short Presentations) Bert de Vries, A. Joran Jessurun, Jarke J. van Wijk
2000	Misc	`conf`	Using 3D Geometric Constraints in Architectural Design Support Systems. WSCG Bert de Vries, A. Joran Jessurun, Richard H. M. C. Kelleners
1997	Misc	`conf`	Adaptive rank filtering based on error minimization. ICASSP Bert de Vries
1996	Misc	`conf`	Robust distant-talking speech recognition. ICASSP John C. Pearson, Qiguang Lin, ChiWei Che, Dong-Suk Yuk, Limin Jin, Bert de Vries, James L. Flanagan
1994	—	`conf`	A Neural Network System for Large-Vocabulary Continuous Speech Recognition in Variable Acoustic Environments. HLT James L. Flanagan, Qiguang Lin, John C. Pearson, Bert de Vries
1994	—	`conf`	Microphone Arrays and Neural Networks for Robust Speech Recognition. HLT ChiWei Che, Qiguang Lin, John C. Pearson, Bert de Vries, James L. Flanagan
1994	—	`conf`	System of microphone arrays and neural networks for robust speech recognition in multimedia environments. ICSLP Qiguang Lin, Ea-Ee Jan, ChiWei Che, Bert de Vries
1993	—	`conf`	Learning with target trajectory constraints for sequence classification tasks. ICASSP (1) Bert de Vries, Leslie Dias, John C. Pearson
1993	J	`jnl`	The gamma-filter-a new class of adaptive IIR filters with restricted feedback. IEEE Trans. Signal Process. José C. Príncipe, Bert de Vries, Pedro Guedes de Oliveira
1992	Misc	`conf`	Generalized feedforward structures: a new class of adaptive filters. ICASSP José C. Príncipe, Bert de Vries, Pedro Guedes de Oliveira
1992	J	`jnl`	The gamma model--A new neural model for temporal processing. Neural Networks Bert de Vries, José Carlos Príncipe
1991	—	`conf`	Modeling Applications with the Focused Gamma Net. NIPS José Carlos Príncipe, Bert de Vries, Jyh-Ming Kuo, Pedro Guedes de Oliveira
1990	—	`conf`	A Theory for Neural Networks with Time Delays. NIPS Bert de Vries, José Carlos Príncipe