Bart van Erp

Orcid: 0000-0002-5619-7071

According to our database1, Bart van Erp authored at least 17 papers between 2020 and 2024.

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

Timeline

2020
2021
2022
2023
2024
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Legend:

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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Improved Depth Estimation of Bayesian Neural Networks.
CoRR, 2024

Online Structure Learning with Dirichlet Processes Through Message Passing.
Proceedings of the Active Inference - 5th International Workshop, 2024

Message Passing-Based Bayesian Control of a Cart-Pole System.
Proceedings of the Active Inference - 5th International Workshop, 2024

Context-Aware Preference Learning System Based on Dirichlet Process Gaussian Mixture Model.
Proceedings of the IEEE International Conference on Acoustics, 2024

Multi-Agent Trajectory Planning with NUV Priors.
Proceedings of the American Control Conference, 2024

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

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

Message Passing-based Inference in Switching Autoregressive Models.
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
AIDA: An Active Inference-based Design Agent for Audio Processing Algorithms.
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

2020
Deep Convolutional Long Short-Term Memory Network for Fetal Heart Rate Extraction.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020


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