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ORCIDWouter M. Kouw
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2020 – today
- 2024
[j7]Wouter M. Kouw
:
Information-Seeking Polynomial NARX Model-Predictive Control Through Expected Free Energy Minimization. IEEE Control. Syst. Lett. 8: 37-42 (2024)- [c14]Wouter M. Kouw, Caspar Gruijthuijsen, Lennart Blanken, Enzo Evers, Timothy Rogers:
Bayesian grey-box identification of nonlinear convection effects in heat transfer dynamics. CCTA 2024: 382-387 - [i19]Wouter M. Kouw, Caspar Gruijthuijsen, Lennart Blanken, Enzo Evers, Timothy Rogers:
Bayesian grey-box identification of nonlinear convection effects in heat transfer dynamics. CoRR abs/2407.01226 (2024) - [i18]Wouter M. Kouw:
Planning to avoid ambiguous states through Gaussian approximations to non-linear sensors in active inference agents. CoRR abs/2409.01974 (2024) - 2023
- [i17]Wouter M. Kouw:
Information-seeking polynomial NARX model-predictive control through expected free energy minimization. CoRR abs/2312.15046 (2023) - 2022
- [c13]Wouter M. Kouw, Albert Podusenko, Magnus T. Koudahl, Maarten Schoukens:
Variational message passing for online polynomial NARMAX identification. ACC 2022: 2755-2760 - [c12]Albert Podusenko, Semih Akbayrak, Ismail Senöz, Maarten Schoukens, Wouter M. Kouw:
Message Passing-based System Identification for NARMAX Models. CDC 2022: 7309-7314 - [c11]Alp Sari, Tak Kaneko, Lense H. M. Swaenen, Wouter M. Kouw:
Variational Bayes for Robust Radar Single Object Tracking. SiPS 2022: 1-6 - [i16]Wouter M. Kouw, Albert Podusenko, Magnus T. Koudahl, Maarten Schoukens:
Variational message passing for online polynomial NARMAX identification. CoRR abs/2204.00769 (2022) - [i15]Alp Sari, Tak Kaneko, Lense H. M. Swaenen, Wouter M. Kouw:
Variational Bayes for robust radar single object tracking. CoRR abs/2209.14397 (2022) - 2021
- [j6]Albert Podusenko, Wouter M. Kouw, Bert de Vries:
Message Passing-Based Inference for Time-Varying Autoregressive Models. Entropy 23(6): 683 (2021) - [j5]Magnus T. Koudahl, Wouter M. Kouw, Bert de Vries:
On Epistemics in Expected Free Energy for Linear Gaussian State Space Models. Entropy 23(12): 1565 (2021) - [j4]Wouter M. Kouw, Marco Loog:
A Review of Domain Adaptation without Target Labels. IEEE Trans. Pattern Anal. Mach. Intell. 43(3): 766-785 (2021) - [j3]Wouter M. Kouw, Marco Loog:
Robust domain-adaptive discriminant analysis. Pattern Recognit. Lett. 148: 107-113 (2021) - 2020
- [c10]Johannes Bjerva, Wouter M. Kouw, Isabelle Augenstein:
Back to the Future - Temporal Adaptation of Text Representations. AAAI 2020: 7440-7447 - [c9]Albert Podusenko, Wouter M. Kouw, Bert de Vries:
Online Variational Message Passing in Hierarchical Autoregressive Models. ISIT 2020: 1337-1342 - [c8]Wouter M. Kouw:
Online System Identification in a Duffing Oscillator by Free Energy Minimisation. IWAI 2020: 42-51 - [c7]Ismail Senöz, Albert Podusenko, Wouter M. Kouw, Bert de Vries:
Bayesian joint state and parameter tracking in autoregressive models. L4DC 2020: 95-104 - [c6]Wouter M. Kouw, Marco Loog:
Target Robust Discriminant Analysis. S+SSPR 2020: 3-13 - [i14]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 abs/2002.12105 (2020) - [i13]Wouter M. Kouw:
Online system identification in a Duffing oscillator by free energy minimisation. CoRR abs/2009.00845 (2020)
2010 – 2019
- 2019
- [c5]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: 360-371 - [c4]Wouter M. Kouw, Marco Loog, Lambertus W. Bartels, Adriënne M. Mendrik:
Learning An Mr Acquisition-Invariant Representation Using Siamese Neural Networks. ISBI 2019: 364-367 - [c3]Wouter M. Kouw, Jesse H. Krijthe, Marco Loog:
Robust Importance-Weighted Cross-Validation Under Sample Selection Bias. MLSP 2019: 1-6 - [i12]Wouter M. Kouw, Marco Loog:
A review of single-source unsupervised domain adaptation. CoRR abs/1901.05335 (2019) - [i11]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 abs/1903.04191 (2019) - [i10]Johannes Bjerva, Wouter M. Kouw, Isabelle Augenstein:
Back to the Future - Sequential Alignment of Text Representations. CoRR abs/1909.03464 (2019) - 2018
- [b1]Wouter M. Kouw:
On domain-adaptive machine learning. Delft University of Technology, Netherlands, 2018 - [j2]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: 130-139 (2018) - [c2]Wouter M. Kouw, Marco Loog:
Effects of sampling skewness of the importance-weighted risk estimator on model selection. ICPR 2018: 1468-1473 - [i9]Wouter M. Kouw, Marco Loog:
Effects of sampling skewness of the importance-weighted risk estimator on model selection. CoRR abs/1804.07344 (2018) - [i8]Wouter M. Kouw, Marco Loog:
Target Contrastive Pessimistic Discriminant Analysis. CoRR abs/1806.09463 (2018) - [i7]Wouter M. Kouw, Marco Loog, Wilbert Bartels, Adriënne M. Mendrik:
Learning an MR acquisition-invariant representation using Siamese neural networks. CoRR abs/1810.07430 (2018) - [i6]Wouter M. Kouw:
An introduction to domain adaptation and transfer learning. CoRR abs/1812.11806 (2018) - 2017
- [i5]Wouter M. Kouw, Marco Loog:
Target contrastive pessimistic risk for robust domain adaptation. CoRR abs/1706.08082 (2017) - [i4]Wouter M. Kouw, Marco Loog, Lambertus W. Bartels, Adriënne M. Mendrik:
MR Acquisition-Invariant Representation Learning. CoRR abs/1709.07944 (2017) - [i3]Wouter M. Kouw, Marco Loog:
On reducing sampling variance in covariate shift using control variates. CoRR abs/1710.06514 (2017) - 2016
- [j1]Wouter M. Kouw, Laurens J. P. van der Maaten, Jesse H. Krijthe, Marco Loog:
Feature-Level Domain Adaptation. J. Mach. Learn. Res. 17: 171:1-171:32 (2016) - [c1]Wouter M. Kouw, Marco Loog:
On regularization parameter estimation under covariate shift. ICPR 2016: 426-431 - [i2]Wouter M. Kouw, Marco Loog:
On Regularization Parameter Estimation under Covariate Shift. CoRR abs/1608.00250 (2016) - 2015
- [i1]Wouter M. Kouw, Jesse H. Krijthe, Marco Loog, Laurens J. P. van der Maaten:
Feature-Level Domain Adaptation. CoRR abs/1512.04829 (2015)
Coauthor Index
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last updated on 2024-10-07 01:24 CEST by the dblp team
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