Wouter M. Kouw

58 papers A* 1B 3C 1Journal 38Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Gaussian Variational Inference With Non-Gaussian Factors for State Estimation: A UWB Localization Case Study. IEEE Robotics Autom. Lett. Andrew Stirling, Mykola Lukashchuk, Dmitry Bagaev, Wouter M. Kouw, James Richard Forbes
2025	J	`jnl`	A Spiking Neural Network Implementation of Gaussian Belief Propagation. CoRR Sepideh Adamiat, Wouter M. Kouw, Bert de Vries
2025	J	`jnl`	Bayesian Inference of Collision Avoidance Intent During Ship Encounters. IEEE Trans Autom. Sci. Eng. Chengfeng Jia, Jie Ma, Bert de Vries, Wouter M. Kouw
2025	—	`conf`	Bayesian autoregression to optimize temporal Matérn kernel Gaussian process hyperparameters. ProbNum Wouter M. Kouw
2025	J	`jnl`	Bayesian autoregression to optimize temporal Matérn kernel Gaussian process hyperparameters. CoRR Wouter M. Kouw
2025	J	`jnl`	Expected Free Energy-based Planning as Variational Inference. CoRR Bert de Vries, Wouter W. L. Nuijten, Thijs van de Laar, Wouter M. Kouw, Sepideh Adamiat, Tim Nisslbeck, Mykola Lukashchuk, Hoang Minh Huu Nguyen, Marco D. Hidalgo-Araya, Raphael Tresor, Thijs Jenneskens, Ivana Nikoloska, Raaja Ganapathy Subramanian, Bart van Erp, Dmitry Bagaev, Albert Podusenko
2025	J	`jnl`	Factor Graph-Based Online Bayesian Identification and Component Evaluation for Multivariate Autoregressive Exogenous Input Models. Entropy Tim N. Nisslbeck, Wouter M. Kouw
2025	J	`jnl`	Gaussian Variational Inference with Non-Gaussian Factors for State Estimation: A UWB Localization Case Study. CoRR Andrew Stirling, Mykola Lukashchuk, Dmitry Bagaev, Wouter M. Kouw, James Richard Forbes
2025	J	`jnl`	Message passing-based inference in an autoregressive active inference agent. CoRR Wouter M. Kouw, Tim N. Nisslbeck, Wouter L. N. Nuijten
2025	J	`jnl`	Multiple Variational Kalman-GRU for Ship Trajectory Prediction With Uncertainty. IEEE Trans. Aerosp. Electron. Syst. Chengfeng Jia, Jie Ma, Wouter M. Kouw
2025	—	`conf`	Online Bayesian system identification in multivariate autoregressive models via message passing. ECC Tim N. Nisslbeck, Wouter M. Kouw
2025	J	`jnl`	Online Bayesian system identification in multivariate autoregressive models via message passing. CoRR Tim N. Nisslbeck, Wouter M. Kouw
2025	J	`jnl`	Spike-Timing-Dependent Plasticity for Bernoulli Message Passing. CoRR Sepideh Adamiat, Wouter M. Kouw, Bert de Vries
2024	—	`conf`	Bayesian grey-box identification of nonlinear convection effects in heat transfer dynamics. CCTA Wouter M. Kouw, Caspar Gruijthuijsen, Lennart Blanken, Enzo Evers, Timothy J. Rogers
2024	J	`jnl`	Bayesian grey-box identification of nonlinear convection effects in heat transfer dynamics. CoRR Wouter M. Kouw, Caspar Gruijthuijsen, Lennart Blanken, Enzo Evers, Timothy J. Rogers
2024	—	`conf`	Coupled Autoregressive Active Inference Agents for Control of Multi-joint Dynamical Systems. IWAI Tim N. Nisslbeck, Wouter M. Kouw
2024	J	`jnl`	Coupled autoregressive active inference agents for control of multi-joint dynamical systems. CoRR Tim Nisslbeck, Wouter M. Kouw
2024	J	`jnl`	Information-Seeking Polynomial NARX Model-Predictive Control Through Expected Free Energy Minimization. IEEE Control. Syst. Lett. Wouter M. Kouw
2024	—	`conf`	Message Passing-Based Bayesian Control of a Cart-Pole System. IWAI Sepideh Adamiat, Wouter M. Kouw, Bart van Erp, Bert de Vries
2024	—	`conf`	Planning to Avoid Ambiguous States Through Gaussian Approximations to Non-linear Sensors in Active Inference Agents. IWAI Wouter M. Kouw
2024	J	`jnl`	Planning to avoid ambiguous states through Gaussian approximations to non-linear sensors in active inference agents. CoRR Wouter M. Kouw
2023	J	`jnl`	Information-seeking polynomial NARX model-predictive control through expected free energy minimization. CoRR Wouter M. Kouw
2022	—	`conf`	Message Passing-based System Identification for NARMAX Models. CDC Albert Podusenko, Semih Akbayrak, Ismail Senöz, Maarten Schoukens, Wouter M. Kouw
2022	—	`conf`	Variational Bayes for Robust Radar Single Object Tracking. SiPS Alp Sari, Tak Kaneko, Lense H. M. Swaenen, Wouter M. Kouw
2022	J	`jnl`	Variational Bayes for robust radar single object tracking. CoRR Alp Sari, Tak Kaneko, Lense H. M. Swaenen, Wouter M. Kouw
2022	C	`conf`	Variational message passing for online polynomial NARMAX identification. ACC Wouter M. Kouw, Albert Podusenko, Magnus T. Koudahl, Maarten Schoukens
2022	J	`jnl`	Variational message passing for online polynomial NARMAX identification. CoRR Wouter M. Kouw, Albert Podusenko, Magnus T. Koudahl, Maarten Schoukens
2021	J	`jnl`	A Review of Domain Adaptation without Target Labels. IEEE Trans. Pattern Anal. Mach. Intell. Wouter M. Kouw, Marco Loog
2021	J	`jnl`	Message Passing-Based Inference for Time-Varying Autoregressive Models. Entropy Albert Podusenko, Wouter M. Kouw, Bert de Vries
2021	J	`jnl`	On Epistemics in Expected Free Energy for Linear Gaussian State Space Models. Entropy Magnus T. Koudahl, Wouter M. Kouw, Bert de Vries
2021	J	`jnl`	Robust domain-adaptive discriminant analysis. Pattern Recognit. Lett. Wouter M. Kouw, Marco Loog
2020	A*	`conf`	Back to the Future - Temporal Adaptation of Text Representations. AAAI Johannes Bjerva, Wouter M. Kouw, Isabelle Augenstein
2020	—	`conf`	Bayesian joint state and parameter tracking in autoregressive models. L4DC Ismail Senöz, Albert Podusenko, Wouter M. Kouw, Bert de Vries
2020	—	`conf`	Online System Identification in a Duffing Oscillator by Free Energy Minimisation. IWAI Wouter M. Kouw
2020	B	`conf`	Online Variational Message Passing in Hierarchical Autoregressive Models. ISIT Albert Podusenko, Wouter M. Kouw, Bert de Vries
2020	J	`jnl`	Online system identification in a Duffing oscillator by free energy minimisation. CoRR Wouter M. Kouw
2020	—	`conf`	Target Robust Discriminant Analysis. S+SSPR Wouter M. Kouw, Marco Loog
2020	J	`jnl`	The Data Representativeness Criterion: Predicting the Performance of Supervised Classification Based on Data Set Similarity. CoRR Evelien Schat, Rens van de Schoot, Wouter M. Kouw, Duco Veen, Adriënne M. Mendrik
2019	—	`conf`	A Cross-Center Smoothness Prior for Variational Bayesian Brain Tissue Segmentation. IPMI Wouter M. Kouw, Silas N. Ørting, Jens Petersen, Kim Steenstrup Pedersen, Marleen de Bruijne
2019	J	`jnl`	A cross-center smoothness prior for variational Bayesian brain tissue segmentation. CoRR Wouter M. Kouw, Silas N. Ørting, Jens Petersen, Kim Steenstrup Pedersen, Marleen de Bruijne
2019	J	`jnl`	A review of single-source unsupervised domain adaptation. CoRR Wouter M. Kouw, Marco Loog
2019	J	`jnl`	Back to the Future - Sequential Alignment of Text Representations. CoRR Johannes Bjerva, Wouter M. Kouw, Isabelle Augenstein
2019	—	`conf`	Learning An Mr Acquisition-Invariant Representation Using Siamese Neural Networks. ISBI Wouter M. Kouw, Marco Loog, Lambertus W. Bartels, Adriënne M. Mendrik
2019	—	`conf`	Robust Importance-Weighted Cross-Validation Under Sample Selection Bias. MLSP Wouter M. Kouw, Jesse H. Krijthe, Marco Loog
2018	J	`jnl`	An introduction to domain adaptation and transfer learning. CoRR Wouter M. Kouw
2018	J	`jnl`	CT image segmentation of bone for medical additive manufacturing using a convolutional neural network. Comput. Biol. Medicine Jordi Minnema, Maureen van Eijnatten, Wouter M. Kouw, Faruk Diblen, Adriënne Mendrik, Jan Wolff
2018	B	`conf`	Effects of sampling skewness of the importance-weighted risk estimator on model selection. ICPR Wouter M. Kouw, Marco Loog
2018	J	`jnl`	Effects of sampling skewness of the importance-weighted risk estimator on model selection. CoRR Wouter M. Kouw, Marco Loog
2018	J	`jnl`	Learning an MR acquisition-invariant representation using Siamese neural networks. CoRR Wouter M. Kouw, Marco Loog, Wilbert Bartels, Adriënne M. Mendrik
2018	—	`—`	On domain-adaptive machine learning. Wouter M. Kouw
2018	J	`jnl`	Target Contrastive Pessimistic Discriminant Analysis. CoRR Wouter M. Kouw, Marco Loog
2017	J	`jnl`	MR Acquisition-Invariant Representation Learning. CoRR Wouter M. Kouw, Marco Loog, Lambertus W. Bartels, Adriënne M. Mendrik
2017	J	`jnl`	On reducing sampling variance in covariate shift using control variates. CoRR Wouter M. Kouw, Marco Loog
2017	J	`jnl`	Target contrastive pessimistic risk for robust domain adaptation. CoRR Wouter M. Kouw, Marco Loog
2016	J	`jnl`	Feature-Level Domain Adaptation. J. Mach. Learn. Res. Wouter M. Kouw, Laurens J. P. van der Maaten, Jesse H. Krijthe, Marco Loog
2016	J	`jnl`	On Regularization Parameter Estimation under Covariate Shift. CoRR Wouter M. Kouw, Marco Loog
2016	B	`conf`	On regularization parameter estimation under covariate shift. ICPR Wouter M. Kouw, Marco Loog
2015	J	`jnl`	Feature-Level Domain Adaptation. CoRR Wouter M. Kouw, Jesse H. Krijthe, Marco Loog, Laurens J. P. van der Maaten