Wouter M. Kouw

According to our database, Wouter M. Kouw authored at least 30 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Information-Seeking Polynomial NARX Model-Predictive Control Through Expected Free Energy Minimization.

Wouter M. Kouw

IEEE Control. Syst. Lett., 2024

2022

Variational Bayes for Robust Radar Single Object Tracking.

Alp Sari, Tak Kaneko, Lense H. M. Swaenen, Wouter M. Kouw

Proceedings of the IEEE Workshop on Signal Processing Systems, 2022

Message Passing-based System Identification for NARMAX Models.

Albert Podusenko, Semih Akbayrak, Ismail Senöz, Maarten Schoukens, Wouter M. Kouw

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Variational message passing for online polynomial NARMAX identification.

Wouter M. Kouw, Albert Podusenko, Magnus T. Koudahl, Maarten Schoukens

Proceedings of the American Control Conference, 2022

2021

Robust domain-adaptive discriminant analysis.

Wouter M. Kouw, Marco Loog

Pattern Recognit. Lett., 2021

A Review of Domain Adaptation without Target Labels.

Wouter M. Kouw, Marco Loog

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Message Passing-Based Inference for Time-Varying Autoregressive Models.

Albert Podusenko, Wouter M. Kouw, 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

2020

The Data Representativeness Criterion: Predicting the Performance of Supervised Classification Based on Data Set Similarity.

Evelien Schat, Rens van de Schoot, Wouter M. Kouw, Duco Veen, Adriënne M. Mendrik

CoRR, 2020

Target Robust Discriminant Analysis.

Wouter M. Kouw, Marco Loog

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2020

Bayesian joint state and parameter tracking in autoregressive models.

Ismail Senöz, Albert Podusenko, Wouter M. Kouw, Bert de Vries

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Online System Identification in a Duffing Oscillator by Free Energy Minimisation.

Wouter M. Kouw

Proceedings of the Active Inference - First International Workshop, 2020

Online Variational Message Passing in Hierarchical Autoregressive Models.

Albert Podusenko, Wouter M. Kouw, Bert de Vries

Proceedings of the IEEE International Symposium on Information Theory, 2020

Back to the Future - Temporal Adaptation of Text Representations.

Johannes Bjerva, Wouter M. Kouw, Isabelle Augenstein

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Back to the Future - Sequential Alignment of Text Representations.

Johannes Bjerva, Wouter M. Kouw, Isabelle Augenstein

CoRR, 2019

A review of single-source unsupervised domain adaptation.

Wouter M. Kouw, Marco Loog

CoRR, 2019

Robust Importance-Weighted Cross-Validation Under Sample Selection Bias.

Wouter M. Kouw, Jesse H. Krijthe, Marco Loog

Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

Learning An Mr Acquisition-Invariant Representation Using Siamese Neural Networks.

Wouter M. Kouw, Marco Loog, Lambertus W. Bartels, Adriënne M. Mendrik

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

A Cross-Center Smoothness Prior for Variational Bayesian Brain Tissue Segmentation.

Wouter M. Kouw, Silas N. Ørting, Jens Petersen, Kim Steenstrup Pedersen, Marleen de Bruijne

Proceedings of the Information Processing in Medical Imaging, 2019

2018

On domain-adaptive machine learning.

Wouter M. Kouw

PhD thesis, 2018

An introduction to domain adaptation and transfer learning.

Wouter M. Kouw

CoRR, 2018

Learning an MR acquisition-invariant representation using Siamese neural networks.

Wouter M. Kouw, Marco Loog, Wilbert Bartels, Adriënne M. Mendrik

CoRR, 2018

Target Contrastive Pessimistic Discriminant Analysis.

Wouter M. Kouw, Marco Loog

CoRR, 2018

CT image segmentation of bone for medical additive manufacturing using a convolutional neural network.

Jordi Minnema, Maureen van Eijnatten, Wouter M. Kouw, Faruk Diblen, Adriënne Mendrik, Jan Wolff

Comput. Biol. Medicine, 2018

Effects of sampling skewness of the importance-weighted risk estimator on model selection.

Wouter M. Kouw, Marco Loog

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

On reducing sampling variance in covariate shift using control variates.

Wouter M. Kouw, Marco Loog

CoRR, 2017

MR Acquisition-Invariant Representation Learning.

Wouter M. Kouw, Marco Loog, Lambertus W. Bartels, Adriënne M. Mendrik

CoRR, 2017

Target contrastive pessimistic risk for robust domain adaptation.

Wouter M. Kouw, Marco Loog

CoRR, 2017

2016

Feature-Level Domain Adaptation.

Wouter M. Kouw, Laurens J. P. van der Maaten, Jesse H. Krijthe, Marco Loog

J. Mach. Learn. Res., 2016

On regularization parameter estimation under covariate shift.

Wouter M. Kouw, Marco Loog

Proceedings of the 23rd International Conference on Pattern Recognition, 2016