Steven Van Vaerenbergh

Steven Van Vaerenbergh's picture
Postdoctoral researcher
Advanced Signal Processing Group (GTAS)
steven.vanvaerenbergh [at]
+34 942 200919 ext 802
Department of Communications Engineering (DICOM)
University of Cantabria
Research interests: 
  • Machine learning and kernel methods
  • Pattern recognition in time series
  • Adaptive filtering and target tracking
  • System identification and blind source separation



Postdoctoral researcher
Doctor in Telecommunications (FPU, University of Cantabria, Spain, 2010)
Electrical Engineer (Telecommunications) (University of Ghent, Belgium, 2003)

Selected publications: 
Journal Article


S. Van Vaerenbergh, J. Vía, and I. Santamaría, "Blind Identification of SIMO Wiener Systems based on Kernel Canonical Correlation Analysis", IEEE Transactions on Signal Processing, vol. 61, issue 9, pp. 2219-2230, May, 2013. PDF icon PDF Version (363.45 KB)


S. Van Vaerenbergh, M. Lázaro-Gredilla, and I. Santamaría, "Kernel Recursive Least-Squares Tracker for Time-Varying Regression", IEEE Transactions on Neural Networks and Learning Systems, vol. 23, issue 8, pp. 1313--1326, August, 2012. PDF icon PDF Version (861.59 KB)
Conference Paper


S. Van Vaerenbergh, I. Santamaría, V. Elvira, and M. Salvatori, "Pattern Localization in Time Series through Signal-To-Model Alignment in Latent Space", 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, Alberta, Canada, IEEE, April, 2018. PDF icon PDF Version (262.96 KB)


J. Fernández-Bes, V. Elvira, and S. Van Vaerenbergh, "A Probabilistic Least-Mean-Squares Filter", 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Queensland, Australia, April, 2015. PDF icon PDF Version (375.31 KB)


S. Van Vaerenbergh, and I. Santamaría, "A Comparative Study of Kernel Adaptive Filtering Algorithms", 2013 IEEE Digital Signal Processing (DSP) Workshop and IEEE Signal Processing Education (SPE): IEEE, August, 2013. PDF icon PDF Version (121.63 KB)


S. Van Vaerenbergh, I. Santamaría, and M. Lázaro-Gredilla, "Estimation of the Forgetting Factor in Kernel Recursive Least Squares", 2012 IEEE International Workshop On Machine Learning For Signal Processing (MLSP), September, 2012. PDF icon PDF Version (241.23 KB)
Book Chapter


S. Van Vaerenbergh, and I. Santamaría, "Online Regression with Kernels", Regularization, Optimization, Kernels, and Support Vector Machines, no. Machine Learning & Pattern Recognition Series, New York, Chapman and Hall/CRC, pp. 477-501, 2014. PDF icon PDF Version (298.16 KB)