Wouter M. Kouw

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 38

Top Venues

CoRR

ICPR

Entropy

IEEE Control. Syst. Lett.

Delft University of Technology, Netherlands (PHD)

Education History

Delft University of Technology, Netherlands

PHD

Publications

Wouter M. Kouw
Information-Seeking Polynomial NARX Model-Predictive Control Through Expected Free Energy Minimization. IEEE Control. Syst. Lett. 8 (2024)
Wouter M. Kouw, Caspar Gruijthuijsen, Lennart Blanken, Enzo Evers, Timothy Rogers
Bayesian grey-box identification of nonlinear convection effects in heat transfer dynamics. CoRR (2024)
Wouter M. Kouw
Information-seeking polynomial NARX model-predictive control through expected free energy minimization. CoRR (2023)
Albert Podusenko, Semih Akbayrak, Ismail Senöz, Maarten Schoukens, Wouter M. Kouw
Message Passing-based System Identification for NARMAX Models. CDC (2022)
Wouter M. Kouw, Albert Podusenko, Magnus T. Koudahl, Maarten Schoukens
Variational message passing for online polynomial NARMAX identification. ACC (2022)
Wouter M. Kouw, Albert Podusenko, Magnus T. Koudahl, Maarten Schoukens
Variational message passing for online polynomial NARMAX identification. CoRR (2022)
Alp Sari, Tak Kaneko, Lense H. M. Swaenen, Wouter M. Kouw
Variational Bayes for Robust Radar Single Object Tracking. SiPS (2022)
Alp Sari, Tak Kaneko, Lense H. M. Swaenen, Wouter M. Kouw
Variational Bayes for robust radar single object tracking. CoRR (2022)
Wouter M. Kouw, Marco Loog
Robust domain-adaptive discriminant analysis. Pattern Recognit. Lett. 148 (2021)
Wouter M. Kouw, Marco Loog
A Review of Domain Adaptation without Target Labels. IEEE Trans. Pattern Anal. Mach. Intell. 43 (3) (2021)
Magnus T. Koudahl, Wouter M. Kouw, Bert de Vries
On Epistemics in Expected Free Energy for Linear Gaussian State Space Models. Entropy 23 (12) (2021)
Albert Podusenko, Wouter M. Kouw, Bert de Vries
Message Passing-Based Inference for Time-Varying Autoregressive Models. Entropy 23 (6) (2021)
Johannes Bjerva, Wouter M. Kouw, Isabelle Augenstein
Back to the Future - Temporal Adaptation of Text Representations. AAAI (2020)
Wouter M. Kouw, Marco Loog
Target Robust Discriminant Analysis. S+SSPR (2020)
Albert Podusenko, Wouter M. Kouw, Bert de Vries
Online Variational Message Passing in Hierarchical Autoregressive Models. ISIT (2020)
Evelien Schat, Rens van de Schoot, Wouter M. Kouw, Duco Veen, Adriënne M. Mendrik
The Data Representativeness Criterion: Predicting the Performance of Supervised Classification Based on Data Set Similarity. CoRR (2020)
Wouter M. Kouw
Online system identification in a Duffing oscillator by free energy minimisation. CoRR (2020)
Wouter M. Kouw
Online System Identification in a Duffing Oscillator by Free Energy Minimisation. IWAI (2020)
Ismail Senöz, Albert Podusenko, Wouter M. Kouw, Bert de Vries
Bayesian joint state and parameter tracking in autoregressive models. L4DC (2020)
Wouter M. Kouw, Silas N. Ørting, Jens Petersen, Kim Steenstrup Pedersen, Marleen de Bruijne
A cross-center smoothness prior for variational Bayesian brain tissue segmentation. CoRR (2019)
Wouter M. Kouw, Jesse H. Krijthe, Marco Loog
Robust Importance-Weighted Cross-Validation Under Sample Selection Bias. MLSP (2019)
Wouter M. Kouw, Marco Loog, Lambertus W. Bartels, Adriënne M. Mendrik
Learning An Mr Acquisition-Invariant Representation Using Siamese Neural Networks. ISBI (2019)
Wouter M. Kouw, Silas N. Ørting, Jens Petersen, Kim Steenstrup Pedersen, Marleen de Bruijne
A Cross-Center Smoothness Prior for Variational Bayesian Brain Tissue Segmentation. IPMI (2019)
Johannes Bjerva, Wouter M. Kouw, Isabelle Augenstein
Back to the Future - Sequential Alignment of Text Representations. CoRR (2019)
Wouter M. Kouw, Marco Loog
A review of single-source unsupervised domain adaptation. CoRR (2019)
Wouter M. Kouw, Marco Loog
Effects of sampling skewness of the importance-weighted risk estimator on model selection. ICPR (2018)
Wouter M. Kouw, Marco Loog, Wilbert Bartels, Adriënne M. Mendrik
Learning an MR acquisition-invariant representation using Siamese neural networks. CoRR (2018)
Wouter M. Kouw, Marco Loog
Effects of sampling skewness of the importance-weighted risk estimator on model selection. CoRR (2018)
Jordi Minnema, Maureen van Eijnatten, Wouter M. Kouw, Faruk Diblen, Adriënne Mendrik, Jan Wolff
CT image segmentation of bone for medical additive manufacturing using a convolutional neural network. Comput. Biol. Medicine 103 (2018)
Wouter M. Kouw, Marco Loog
Target Contrastive Pessimistic Discriminant Analysis. CoRR (2018)
Wouter M. Kouw
An introduction to domain adaptation and transfer learning. CoRR (2018)
Wouter M. Kouw, Marco Loog, Lambertus W. Bartels, Adriënne M. Mendrik
MR Acquisition-Invariant Representation Learning. CoRR (2017)
Wouter M. Kouw, Marco Loog
On reducing sampling variance in covariate shift using control variates. CoRR (2017)
Wouter M. Kouw, Marco Loog
Target contrastive pessimistic risk for robust domain adaptation. CoRR (2017)
Wouter M. Kouw, Laurens J. P. van der Maaten, Jesse H. Krijthe, Marco Loog
Feature-Level Domain Adaptation. J. Mach. Learn. Res. 17 (2016)
Wouter M. Kouw, Marco Loog
On Regularization Parameter Estimation under Covariate Shift. CoRR (2016)
Wouter M. Kouw, Marco Loog
On regularization parameter estimation under covariate shift. ICPR (2016)
Wouter M. Kouw, Jesse H. Krijthe, Marco Loog, Laurens J. P. van der Maaten
Feature-Level Domain Adaptation. CoRR (2015)

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Publication Activity (10 Years)

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Wouter M. Kouw