Bert de Vries

Orcid: 0000-0003-0839-174X

According to our database1, Bert de Vries authored at least 68 papers between 1990 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Automating Model Comparison in Factor Graphs.
Entropy, August, 2023

RxInfer: A Julia package for reactive real-time Bayesian inference.
J. Open Source Softw., June, 2023

Realising Synthetic Active Inference Agents, Part I: Epistemic Objectives and Graphical Specification Language.
CoRR, 2023

Realising Synthetic Active Inference Agents, Part II: Variational Message Updates.
CoRR, 2023

Gaussian Process Amplitude Demodulation By Message-Passing.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Efficient Bayesian Inference By Conjugate-Computation Variational Message Passing.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Toward Design of Synthetic Active Inference Agents by Mere Mortals.
Proceedings of the Active Inference - 4th International Workshop, 2023

2022
ReactiveMP.jl: A Julia package for reactive variational Bayesian inference.
Softw. Impacts, 2022

Probabilistic programming with stochastic variational message passing.
Int. J. Approx. Reason., 2022

Active Inference and Epistemic Value in Graphical Models.
Frontiers Robotics AI, 2022

Principled Pruning of Bayesian Neural Networks through Variational Free Energy Minimization.
CoRR, 2022

Efficient Model Evidence Computation in Tree-structured Factor Graphs.
Proceedings of the IEEE Workshop on Signal Processing Systems, 2022

Online Single-Microphone Source Separation using Non-Linear Autoregressive Models.
Proceedings of the International Conference on Probabilistic Graphical Models, 2022

A Message Passing Perspective on Planning Under Active Inference.
Proceedings of the Active Inference - Third International Workshop, 2022

Adaptive Importance Sampling Message Passing.
Proceedings of the IEEE International Symposium on Information Theory, 2022

Contrastive Predictive Coding for Anomaly Detection of Fetal Health from the Cardiotocogram.
Proceedings of the IEEE International Conference on Acoustics, 2022

Message Passing-based Inference in Switching Autoregressive Models.
Proceedings of the 30th European Signal Processing Conference, 2022

Gaussian Process-based Amortization of Variational Message Passing Update Rules.
Proceedings of the 30th European Signal Processing Conference, 2022

Hybrid Inference with Invertible Neural Networks in Factor Graphs.
Proceedings of the 30th European Signal Processing Conference, 2022

2021
Bayesian Pure-Tone Audiometry Through Active Learning Under Informed Priors.
Frontiers Digit. Health, 2021

Variational Message Passing and Local Constraint Manipulation in Factor Graphs.
Entropy, 2021

Message Passing-Based Inference for Time-Varying Autoregressive Models.
Entropy, 2021

On Epistemics in Expected Free Energy for Linear Gaussian State Space Models.
Entropy, 2021

Extended Variational Message Passing for Automated Approximate Bayesian Inference.
Entropy, 2021

AIDA: An Active Inference-based Design Agent for Audio Processing Algorithms.
CoRR, 2021

Reactive Message Passing for Scalable Bayesian Inference.
CoRR, 2021

On Sequential Bayesian Optimization with Pairwise Comparison.
CoRR, 2021

Variational Log-Power Spectral Tracking for Acoustic Signals.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

Message Passing-Based Inference in the Gamma Mixture Model.
Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

The Switching Hierarchical Gaussian Filter.
Proceedings of the IEEE International Symposium on Information Theory, 2021

2020
Real-time audio processing for hearing aids using a model-based bayesian inference framework.
Proceedings of the SCOPES '20: 23rd International Workshop on Software and Compilers for Embedded Systems, 2020

Bayesian joint state and parameter tracking in autoregressive models.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

A Worked Example of Fokker-Planck-Based Active Inference.
Proceedings of the Active Inference - First International Workshop, 2020

Learning Where to Park.
Proceedings of the Active Inference - First International Workshop, 2020

Online Message Passing-based Inference in the Hierarchical Gaussian Filter.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Online Variational Message Passing in Hierarchical Autoregressive Models.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Approximate Inference by Kullback-Leibler Tensor Belief Propagation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Batman: Bayesian Target Modelling For Active Inference.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
A factor graph approach to automated design of Bayesian signal processing algorithms.
Int. J. Approx. Reason., 2019

Simulating Active Inference Processes by Message Passing.
Frontiers Robotics AI, 2019

Robust Bayesian Beamforming for Sources at Different Distances with Applications in Urban Monitoring.
Proceedings of the IEEE International Conference on Acoustics, 2019

Reparameterization Gradient Message Passing.
Proceedings of the 27th European Signal Processing Conference, 2019

2018
Online variational Message Passing in the Hierarchical Gaussian filter.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

Robust Expectation Propagation in Factor Graphs Involving Both Continuous and Binary Variables.
Proceedings of the 26th European Signal Processing Conference, 2018

Acoustic Scene Classification from Few Examples.
Proceedings of the 26th European Signal Processing Conference, 2018

2017
A Factor Graph Description of Deep Temporal Active Inference.
Frontiers Comput. Neurosci., 2017

Variational stabilized linear forgetting in state-space models.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
A Probabilistic Modeling Approach to Hearing Loss Compensation.
IEEE ACM Trans. Audio Speech Lang. Process., 2016

2011
An Adaptive Kalman Filter for ECG Signal Enhancement.
IEEE Trans. Biomed. Eng., 2011

Discrete Choice Models for Non-Intrusive Quality Assessment.
Proceedings of the INTERSPEECH 2011, 2011

2009
Bayesian periodogram smoothing for speech enhancement.
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

2008
Online Noise Estimation Using Stochastic-Gain HMM for Speech Enhancement.
IEEE Trans. Speech Audio Process., 2008

Online Personalization of Hearing Instruments.
EURASIP J. Audio Speech Music. Process., 2008

2005
Incremental Utility Elicitation for Adaptive Personalization.
Proceedings of the BNAIC 2005, 2005

2002
Towards SNR-loss restoration in digital hearing AIDS.
Proceedings of the IEEE International Conference on Acoustics, 2002

2001
Interactive 3D Modeling in the Inception Phase of Architectural Design.
Proceedings of the 22nd Annual Conference of the European Association for Computer Graphics, 2001

2000
Using 3D Geometric Constraints in Architectural Design Support Systems.
Proceedings of the 8-th International Conference in Central Europe on Computer Graphics, 2000

1997
Adaptive rank filtering based on error minimization.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

1996
Robust distant-talking speech recognition.
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

1994
A Neural Network System for Large-Vocabulary Continuous Speech Recognition in Variable Acoustic Environments.
Proceedings of the Human Language Technology, 1994

Microphone Arrays and Neural Networks for Robust Speech Recognition.
Proceedings of the Human Language Technology, 1994

System of microphone arrays and neural networks for robust speech recognition in multimedia environments.
Proceedings of the 3rd International Conference on Spoken Language Processing, 1994

1993
The gamma-filter-a new class of adaptive IIR filters with restricted feedback.
IEEE Trans. Signal Process., 1993

Learning with target trajectory constraints for sequence classification tasks.
Proceedings of the IEEE International Conference on Acoustics, 1993

1992
The gamma model--A new neural model for temporal processing.
Neural Networks, 1992

Generalized feedforward structures: a new class of adaptive filters.
Proceedings of the 1992 IEEE International Conference on Acoustics, 1992

1991
Modeling Applications with the Focused Gamma Net.
Proceedings of the Advances in Neural Information Processing Systems 4, 1991

1990
A Theory for Neural Networks with Time Delays.
Proceedings of the Advances in Neural Information Processing Systems 3, 1990


  Loading...