Barak A. Pearlmutter
Barak A. Pearlmutter
Prof Comp Science, Maynooth University
Verified email at pearlmutter.net - Homepage
TitleCited byYear
Detecting intrusions using system calls: Alternative data models
C Warrender, S Forrest, B Pearlmutter
Proceedings of the 1999 IEEE symposium on security and privacy (Cat. No …, 1999
15991999
Blind source separation by sparse decomposition in a signal dictionary
M Zibulevsky, BA Pearlmutter
Neural computation 13 (4), 863-882, 2001
10322001
Blind source separation by sparse decomposition in a signal dictionary
M Zibulevsky, BA Pearlmutter, P Bofill, P Kisilev
Independent component analysis: principles and practice, 181-208, 2001
10112001
Learning state space trajectories in recurrent neural networks
BA Pearlmutter
Neural Computation 1 (2), 263-269, 1989
8861989
Gradient calculations for dynamic recurrent neural networks: A survey
BA Pearlmutter
IEEE Transactions on Neural networks 6 (5), 1212-1228, 1995
6481995
A context-sensitive generalization of ICA
BA Pearlmutter, LC Parra
International conference on neural information processing 151, 1996
505*1996
Fast exact multiplication by the Hessian
BA Pearlmutter
Neural computation 6 (1), 147-160, 1994
4321994
Results of the Abbadingo one DFA learning competition and a new evidence-driven state merging algorithm
KJ Lang, BA Pearlmutter, RA Price
Grammatical Inference, 1-12, 1998
3891998
Automatic differentiation in machine learning: a survey
AG Baydin, BA Pearlmutter, AA Radul, JM Siskind
Journal of machine learning research 18 (153), 2018
3382018
Linear spatial integration for single-trial detection in encephalography
L Parra, C Alvino, A Tang, B Pearlmutter, N Yeung, A Osman, P Sajda
NeuroImage 17 (1), 223-230, 2002
2182002
Survey of sparse and non‐sparse methods in source separation
PD O'grady, BA Pearlmutter, ST Rickard
International Journal of Imaging Systems and Technology 15 (1), 18-33, 2005
2102005
Equivalence proofs for multi-layer perceptron classifiers and the Bayesian discriminant function
JB Hampshire II, B Pearlmutter
Connectionist Models, 159-172, 1991
1861991
Dynamic recurrent neural networks
BA Pearlmutter
Computer Science Department, Carnegie Mellon University, 1990
1751990
Hemodynamics for brain-computer interfaces
F Matthews, BA Pearlmutter, TE Wards, C Soraghan, C Markham
IEEE Signal Processing Magazine 25 (1), 87-94, 2007
1592007
Independent components of magnetoencephalography: localization
AC Tang, BA Pearlmutter, NA Malaszenko, DB Phung, BC Reeb
Neural computation 14 (8), 1827-1858, 2002
1252002
Blind source separation via multinode sparse representation
M Zibulevsky, P Kisilev, YY Zeevi, BA Pearlmutter
Advances in Neural Information Processing Systems 14, 1049-1056, 2002
1192002
Convolutive non-negative matrix factorisation with a sparseness constraint
PD O'grady, BA Pearlmutter
2006 16th IEEE Signal Processing Society Workshop on Machine Learning for …, 2006
1082006
Automatic learning rate maximization by on-line estimation of the hessian's eigenvectors
Y LeCun, PY Simard, B Pearlmutter
Advances in neural information processing systems, 156-163, 1993
99*1993
The VESPA: a method for the rapid estimation of a visual evoked potential
EC Lalor, BA Pearlmutter, RB Reilly, G McDarby, JJ Foxe
Neuroimage 32 (4), 1549-1561, 2006
952006
Discovering speech phones using convolutive non-negative matrix factorisation with a sparseness constraint
PD O’grady, BA Pearlmutter
Neurocomputing 72 (1-3), 88-101, 2008
792008
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Articles 1–20