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2020 – today
- 2024
[c44]Bart van Erp
, Dmitry Bagaev, Albert Podusenko, Ismail Senöz, Bert de Vries:
Multi-Agent Trajectory Planning with NUV Priors. ACC 2024: 2766-2771- [i11]Wouter W. L. Nuijten, Bert de Vries:
Reactive Environments for Active Inference Agents with RxEnvironments.jl. CoRR abs/2409.11087 (2024) - 2023
- [j19]Bart van Erp, Wouter W. L. Nuijten, Thijs van de Laar, Bert de Vries:
Automating Model Comparison in Factor Graphs. Entropy 25(8): 1138 (2023) - [j18]Dmitry Bagaev, Albert Podusenko, Bert de Vries:
RxInfer: A Julia package for reactive real-time Bayesian inference. J. Open Source Softw. 8(86): 5161 (2023) - [c43]Bert de Vries:
Toward Design of Synthetic Active Inference Agents by Mere Mortals. IWAI 2023: 173-185 - [c42]Mykola Lukashchuk, Ismail Senöz, Bert de Vries:
Efficient Bayesian Inference By Conjugate-Computation Variational Message Passing. MLSP 2023: 1-6 - [c41]Hoang M. H. Nguyen, Ismail Senöz, Bert de Vries:
Gaussian Process Amplitude Demodulation By Message-Passing. MLSP 2023: 1-6 - [i10]Thijs van de Laar, Magnus T. Koudahl, Bert de Vries:
Realising Synthetic Active Inference Agents, Part II: Variational Message Updates. CoRR abs/2306.02733 (2023) - [i9]Bart van Erp, Wouter W. L. Nuijten, Thijs van de Laar, Bert de Vries:
Automating Model Comparison in Factor Graphs. CoRR abs/2306.05965 (2023) - [i8]Magnus T. Koudahl, Thijs van de Laar, Bert de Vries:
Realising Synthetic Active Inference Agents, Part I: Epistemic Objectives and Graphical Specification Language. CoRR abs/2306.08014 (2023) - [i7]Bert de Vries:
Toward Design of Synthetic Active Inference Agents by Mere Mortals. CoRR abs/2307.14145 (2023) - 2022
- [j17]Thijs van de Laar, Magnus T. Koudahl, Bart van Erp, Bert de Vries:
Active Inference and Epistemic Value in Graphical Models. Frontiers Robotics AI 9: 794464 (2022) - [j16]Semih Akbayrak, Ismail Senöz, Alp Sari, Bert de Vries:
Probabilistic programming with stochastic variational message passing. Int. J. Approx. Reason. 148: 235-252 (2022) - [j15]Dmitry Bagaev, Bart van Erp, Albert Podusenko, Bert de Vries:
ReactiveMP.jl: A Julia package for reactive variational Bayesian inference. Softw. Impacts 12: 100299 (2022) - [c40]Bart van Erp, Bert de Vries:
Hybrid Inference with Invertible Neural Networks in Factor Graphs. EUSIPCO 2022: 1397-1401 - [c39]Albert Podusenko, Bart van Erp, Dmitry Bagaev, Ismail Senöz, Bert de Vries:
Message Passing-based Inference in Switching Autoregressive Models. EUSIPCO 2022: 1497-1501 - [c38]Hoang M. H. Nguyen, Semih Akbayrak, Magnus T. Koudahl, Bert de Vries:
Gaussian Process-based Amortization of Variational Message Passing Update Rules. EUSIPCO 2022: 1517-1521 - [c37]Bert de Vries, Iris A. M. Huijben, René D. Kok, Ruud J. G. van Sloun, Rik Vullings:
Contrastive Predictive Coding for Anomaly Detection of Fetal Health from the Cardiotocogram. ICASSP 2022: 3473-3477 - [c36]Semih Akbayrak, Ismail Senöz, Bert de Vries:
Adaptive Importance Sampling Message Passing. ISIT 2022: 1199-1204 - [c35]Magnus T. Koudahl, Christopher L. Buckley, Bert de Vries:
A Message Passing Perspective on Planning Under Active Inference. IWAI 2022: 319-327 - [c34]Bart van Erp, Bert de Vries:
Online Single-Microphone Source Separation using Non-Linear Autoregressive Models. PGM 2022: 37-48 - [c33]Hoang M. H. Nguyen, Bart van Erp, Ismail Senöz, Bert de Vries:
Efficient Model Evidence Computation in Tree-structured Factor Graphs. SiPS 2022: 1-6 - [i6]Jim Beckers, Bart van Erp, Ziyue Zhao, Kirill Kondrashov, Bert de Vries:
Principled Pruning of Bayesian Neural Networks through Variational Free Energy Minimization. CoRR abs/2210.09134 (2022) - 2021
- [j14]Albert Podusenko, Wouter M. Kouw, Bert de Vries:
Message Passing-Based Inference for Time-Varying Autoregressive Models. Entropy 23(6): 683 (2021) - [j13]Ismail Senöz, Thijs van de Laar, Dmitry Bagaev, Bert de Vries:
Variational Message Passing and Local Constraint Manipulation in Factor Graphs. Entropy 23(7): 807 (2021) - [j12]Semih Akbayrak, Ivan Bocharov, Bert de Vries:
Extended Variational Message Passing for Automated Approximate Bayesian Inference. Entropy 23(7): 815 (2021) - [j11]Magnus T. Koudahl, Wouter M. Kouw, Bert de Vries:
On Epistemics in Expected Free Energy for Linear Gaussian State Space Models. Entropy 23(12): 1565 (2021) - [j10]Marco Cox, Bert de Vries:
Bayesian Pure-Tone Audiometry Through Active Learning Under Informed Priors. Frontiers Digit. Health 3: 723348 (2021) - [c32]Ismail Senöz, Albert Podusenko, Semih Akbayrak, Christoph Mathys, Bert de Vries:
The Switching Hierarchical Gaussian Filter. ISIT 2021: 1373-1378 - [c31]Albert Podusenko, Bart van Erp, Dmitry Bagaev, Ismail Senöz, Bert de Vries:
Message Passing-Based Inference in the Gamma Mixture Model. MLSP 2021: 1-6 - [c30]Bart van Erp, Ismail Senöz, Bert de Vries:
Variational Log-Power Spectral Tracking for Acoustic Signals. SSP 2021: 311-315 - [i5]Tanya Ignatenko, Kirill Kondrashov, Marco Cox, Bert de Vries:
On Sequential Bayesian Optimization with Pairwise Comparison. CoRR abs/2103.13192 (2021) - [i4]Thijs van de Laar, Magnus T. Koudahl, Bart van Erp, Bert de Vries:
Active Inference and Epistemic Value in Graphical Models. CoRR abs/2109.00541 (2021) - [i3]Dmitry Bagaev, Bert de Vries:
Reactive Message Passing for Scalable Bayesian Inference. CoRR abs/2112.13251 (2021) - [i2]Albert Podusenko, Bart van Erp, Magnus T. Koudahl, Bert de Vries:
AIDA: An Active Inference-based Design Agent for Audio Processing Algorithms. CoRR abs/2112.13366 (2021) - 2020
- [c29]Magnus T. Koudahl, Bert de Vries:
Batman: Bayesian Target Modelling For Active Inference. ICASSP 2020: 3852-3856 - [c28]Patrick W. A. Wijnings, Sander Stuijk, Bert de Vries, Henk Corporaal:
Approximate Inference by Kullback-Leibler Tensor Belief Propagation. ICASSP 2020: 5850-5854 - [c27]Albert Podusenko, Wouter M. Kouw, Bert de Vries:
Online Variational Message Passing in Hierarchical Autoregressive Models. ISIT 2020: 1337-1342 - [c26]Ismail Senöz, Bert de Vries:
Online Message Passing-based Inference in the Hierarchical Gaussian Filter. ISIT 2020: 2676-2681 - [c25]Magnus T. Koudahl, Bert de Vries:
A Worked Example of Fokker-Planck-Based Active Inference. IWAI 2020: 28-34 - [c24]Burak Ergul, Thijs van de Laar, Magnus T. Koudahl, Martin Roa Villescas, Bert de Vries:
Learning Where to Park. IWAI 2020: 125-132 - [c23]Ismail Senöz, Albert Podusenko, Wouter M. Kouw, Bert de Vries:
Bayesian joint state and parameter tracking in autoregressive models. L4DC 2020: 95-104 - [c22]Martin Roa Villescas, Bert de Vries, Sander Stuijk, Henk Corporaal:
Real-time audio processing for hearing aids using a model-based bayesian inference framework. SCOPES 2020: 82-85
2010 – 2019
- 2019
- [j9]Thijs van de Laar, Bert de Vries:
Simulating Active Inference Processes by Message Passing. Frontiers Robotics AI 6: 20 (2019) - [j8]Marco Cox, Thijs van de Laar, Bert de Vries:
A factor graph approach to automated design of Bayesian signal processing algorithms. Int. J. Approx. Reason. 104: 185-204 (2019) - [c21]Semih Akbayrak, Bert de Vries:
Reparameterization Gradient Message Passing. EUSIPCO 2019: 1-5 - [c20]Patrick W. A. Wijnings, Sander Stuijk, Bert de Vries, Henk Corporaal:
Robust Bayesian Beamforming for Sources at Different Distances with Applications in Urban Monitoring. ICASSP 2019: 4325-4329 - 2018
- [c19]Ivan Bocharov, Tjalling J. Tjalkens, Bert de Vries:
Acoustic Scene Classification from Few Examples. EUSIPCO 2018: 862-866 - [c18]Marco Cox, Bert de Vries:
Robust Expectation Propagation in Factor Graphs Involving Both Continuous and Binary Variables. EUSIPCO 2018: 2583-2587 - [c17]Ismail Senöz, Bert de Vries:
Online variational Message Passing in the Hierarchical Gaussian filter. MLSP 2018: 1-6 - [i1]Marco Cox, Thijs van de Laar, Bert de Vries:
A Factor Graph Approach to Automated Design of Bayesian Signal Processing Algorithms. CoRR abs/1811.03407 (2018) - 2017
- [j7]Bert de Vries, Karl J. Friston:
A Factor Graph Description of Deep Temporal Active Inference. Frontiers Comput. Neurosci. 11: 95 (2017) - [c16]Thijs van de Laar, Marco Cox, Anouk van Diepen, Bert de Vries:
Variational stabilized linear forgetting in state-space models. EUSIPCO 2017: 818-822 - 2016
- [j6]Thijs van de Laar, Bert de Vries:
A Probabilistic Modeling Approach to Hearing Loss Compensation. IEEE ACM Trans. Audio Speech Lang. Process. 24(11): 2200-2213 (2016) - 2011
- [j5]Rik Vullings, Bert de Vries, Jan W. M. Bergmans:
An Adaptive Kalman Filter for ECG Signal Enhancement. IEEE Trans. Biomed. Eng. 58(4): 1094-1103 (2011) - [c15]Petko Nikolov Petkov, W. Bastiaan Kleijn, Bert de Vries:
Discrete Choice Models for Non-Intrusive Quality Assessment. INTERSPEECH 2011: 193-196
2000 – 2009
- 2009
- [c14]Xueru Zhang, Alexander Ypma, Bert de Vries:
Bayesian periodogram smoothing for speech enhancement. ESANN 2009 - 2008
- [j4]Alexander Ypma, Job Geurts, Serkan Özer, Erik van der Werf, Bert de Vries:
Online Personalization of Hearing Instruments. EURASIP J. Audio Speech Music. Process. 2008 (2008) - [j3]David Yuheng Zhao, W. Bastiaan Kleijn, Alexander Ypma, Bert de Vries:
Online Noise Estimation Using Stochastic-Gain HMM for Speech Enhancement. IEEE Trans. Speech Audio Process. 16(4): 835-846 (2008) - 2005
- [c13]Tom Heskes, Bert de Vries:
Incremental Utility Elicitation for Adaptive Personalization. BNAIC 2005: 127-134 - 2002
- [c12]Rob A. J. de Vries, Bert de Vries:
Towards SNR-loss restoration in digital hearing AIDS. ICASSP 2002: 4004-4007 - 2001
- [c11]Bert de Vries, A. Joran Jessurun, Jarke J. van Wijk:
Interactive 3D Modeling in the Inception Phase of Architectural Design. Eurographics (Short Presentations) 2001 - 2000
- [c10]Bert de Vries, A. Joran Jessurun, Richard H. M. C. Kelleners:
Using 3D Geometric Constraints in Architectural Design Support Systems. WSCG 2000
1990 – 1999
- 1997
- [c9]Bert de Vries:
Adaptive rank filtering based on error minimization. ICASSP 1997: 3189-3192 - 1996
- [c8]John C. Pearson, Qiguang Lin, ChiWei Che, Dong-Suk Yuk, Limin Jin, Bert de Vries, James L. Flanagan:
Robust distant-talking speech recognition. ICASSP 1996: 21-24 - 1994
- [c7]Qiguang Lin, Ea-Ee Jan, ChiWei Che, Bert de Vries:
System of microphone arrays and neural networks for robust speech recognition in multimedia environments. ICSLP 1994: 1247-1250 - [c6]ChiWei Che, Qiguang Lin, John C. Pearson, Bert de Vries, James L. Flanagan:
Microphone Arrays and Neural Networks for Robust Speech Recognition. HLT 1994 - [c5]James L. Flanagan, Qiguang Lin, John C. Pearson, Bert de Vries:
A Neural Network System for Large-Vocabulary Continuous Speech Recognition in Variable Acoustic Environments. HLT 1994 - 1993
- [j2]José C. Príncipe, Bert de Vries, Pedro Guedes de Oliveira:
The gamma-filter-a new class of adaptive IIR filters with restricted feedback. IEEE Trans. Signal Process. 41(2): 649-656 (1993) - [c4]Bert de Vries, Leslie Dias, John C. Pearson:
Learning with target trajectory constraints for sequence classification tasks. ICASSP (1) 1993: 525-528 - 1992
- [j1]Bert de Vries, José Carlos Príncipe:
The gamma model--A new neural model for temporal processing. Neural Networks 5(4): 565-576 (1992) - [c3]José C. Príncipe, Bert de Vries, Pedro Guedes de Oliveira:
Generalized feedforward structures: a new class of adaptive filters. ICASSP 1992: 245-248 - 1991
- [c2]José Carlos Príncipe, Bert de Vries, Jyh-Ming Kuo, Pedro Guedes de Oliveira:
Modeling Applications with the Focused Gamma Net. NIPS 1991: 143-150 - 1990
- [c1]Bert de Vries, José Carlos Príncipe:
A Theory for Neural Networks with Time Delays. NIPS 1990: 162-168
Coauthor Index
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