Paper-Conference

Variational Bayes for robust radar single object tracking

We address the robustness of the current state-of-the-art radar object trackers and propose a modification by modelling process noise with a distribution that has heavier tails than a Gaussian.

Alp Sarı, Tak Kaneko, Lense Swaenen, Wouter M. Kouw

Variational message passing for online polynomial NARMAX identification

We propose a variational message passing algorithm for estimating coeffcients of a polynomial NARMAX model, which outperforms a recursive least-squares estimator.

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

Variational message passing for online polynomial NARMAX identification

Target robust discriminant analysis

Often, in practice, the data distribution at test time differs, to a smaller or larger extent, from that of the original training data. …

Wouter M. Kouw, Marco Loog

Online system identification in a Duffing oscillator by free energy minimisation

Online system identification is the estimation of parameters of a dynamical system, such as mass or friction coefficients, for each …

Wouter M. Kouw

Online variational message passing in hierarchical autoregressive models

In this paper, we track states and parameters in a hierarchical AR filter by means of variational message passing (VMP) in a factor graph. We derive VMP update rules for an “AR node” that can be re-used at various hierarchical levels and supports automated message passing-based inference for states and parameters.

Albert Podusenko, Wouter M. Kouw, Bert De Vries

Bayesian joint state and parameter tracking in autoregressive models

We address the problem of online Bayesian state and parameter tracking in autoregressive (AR) models with time-varying process noise …

Ismail Senoz, Albert Podusenko, Wouter M. Kouw, Bert De Vries

Back to the future - temporal adaptation of text representations

Language evolves over time in many ways relevant to natural language processing tasks. For example, recent occurrences of tokens …

Johannes Bjerva, Wouter M. Kouw, Isabelle Augenstein

Robust importance-weighted cross-validation under sample selection bias

Cross-validation under sample selection bias can, in principle, be done by importance-weighting the empirical risk. However, the …

Wouter M. Kouw, Marco Loog

A cross-center smoothness prior for variational Bayesian brain tissue segmentation

Suppose one is faced with the challenge of tissue segmentation in MR images, without annotators at their center to provide labeled …

Wouter M. Kouw, Silas Ørting, Jens Petersen, Kim Pedersen, Marleen De Bruijne

Learning an MR acquisition-invariant representation using Siamese neural networks

Generalization of voxelwise classifiers is hampered by differences between MRI-scanners, e.g. different acquisition protocols and field …

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