Locally implementable learning with isospectral matrix flows. - Jeroen Dehaene; Joos Vandewalle (ESANN, 1993)

Locally Implementable Matrix Flows and their Application to Neural Network Learning. - Jeroen Dehaene; Joos Vandewalle (J. Circuits Syst. Comput., 1994)

Adaptive signal processing with unidirectional Hebbian adaptation laws. - Jeroen Dehaene; Joos Vandewalle (ESANN, 1995)

An improved fully parallel stochastic gradient algorithm for subspace tracking. - Jeroen Dehaene; Marc Moonen; Joos Vandewalle (EUSIPCO, 1996)

Local adaptive algorithms for information maximization in neural networks, and application to source separation. - Jeroen Dehaene; Nanayaa Twum-Danso (ICASSP, 1997)

Calculation of the structured singular value with gradient-based optimization algorithms on a Lie group of structured unitary matrices. - Jeroen Dehaene; Yi Cheng; Bart De Moor (IEEE Trans. Autom. Control., 1997)

An improved stochastic gradient algorithm for principal component analysis and subspace tracking. - Jeroen Dehaene; Marc Moonen; Joos Vandewalle (IEEE Trans. Signal Process., 1997)