Barak A. Pearlmutter

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Jeffrey Mark SiskindPurdue UniversityVerified email at purdue.edu
Atılım Güneş BaydinUniversity of OxfordVerified email at robots.ox.ac.uk
Michael ZibulevskyAdjunct Professor of Computer Science, Technion - Israel Institute of TechnologyVerified email at cs.technion.ac.il
Alexey RadulSoftware Engineer, GoogleVerified email at google.com
Lucas C. ParraProfessor of Biomedical Engineering, City College of New York, CUNYVerified email at ccny.cuny.edu
Stephanie ForrestProfessor of Computer Science, Univ. of New MexicoVerified email at santafe.edu
Akaysha C. TangProfessor, The University of Hong KongVerified email at hku.hk
Anthony ZadorProfessor of Biology, CSHLVerified email at cshl.edu
Edmund C LalorAssociate Professor of Biomedical Engineering & Neuroscience, University of RochesterVerified email at urmc.rochester.edu
Charles MarkhamMaynooth UniversityVerified email at mu.ie
John J. FoxeKilian & Caroline Schmitt Chair, Dept. of Neuroscience, University of Rochester School of MedicineVerified email at urmc.rochester.edu
Vamsi Krishna PotluruResearcherVerified email at jpmchase.com
Tomas WardInsight SFI Research Centre for Data Analytics, Dublin City UniversityVerified email at dcu.ie
Vince D. CalhounDirector-Translational Research in Neuroimaging and Data Science (TReNDS;GSU/GAtech/Emory)Verified email at gsu.edu
Richard B. ReillyTrinity College, The University of DublinVerified email at tcd.ie
Sergey PlisTReNDS center: GSU, Emory, and GATechVerified email at gsu.edu
Dan PhungColumbia UniversityVerified email at cs.columbia.edu
Sung Chan JunAI Graduate School/School of EECS, Gwangju Institute of Science and TechnologyVerified email at gist.ac.kr
Paul SajdaColumbia UniversityVerified email at columbia.edu
Christopher V. AlvinoAppleVerified email at gtalumni.org

Barak A. Pearlmutter

Dept of Computer Science, Maynooth University

Verified email at pearlmutter.net - Homepage

Computational Neuroscience Theoretical Neurobiology Machine Learning Recurrent Neural Networks Automatic Differentiation


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Automatic differentiation in machine learning: a survey AG Baydin, BA Pearlmutter, AA Radul, JM Siskind The Journal of Machine Learning Research 18 (153), 1-43, 2018	3692	2018
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	1886	1999
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	1182	2001
Learning state space trajectories in recurrent neural networks Pearlmutter International 1989 Joint Conference on Neural Networks, 365-372 vol. 2, 1989	1142	1989
Fast exact multiplication by the Hessian BA Pearlmutter Neural computation 6 (1), 147-160, 1994	863	1994
Gradient calculations for dynamic recurrent neural networks: A survey BA Pearlmutter IEEE Transactions on Neural networks 6 (5), 1212-1228, 1995	783	1995
A context-sensitive generalization of ICA BA Pearlmutter, LC Parra International conference on neural information processing 151, 1996	572*	1996
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	481	1998
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	252	2005
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	247	2002
Dynamic recurrent neural networks BA Pearlmutter Computer Science Department, Carnegie Mellon University, 1990	233	1990
Equivalence proofs for multi-layer perceptron classifiers and the Bayesian discriminant function JB Hampshire II, B Pearlmutter Connectionist Models, 159-172, 1991	229	1991
Hemodynamics for brain-computer interfaces F Matthews, BA Pearlmutter, TE Wards, C Soraghan, C Markham IEEE Signal Processing Magazine 25 (1), 87-94, 2007	202	2007
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	170	2006
Automatic learning rate maximization by on-line estimation of the hessian's eigenvectors Y LeCun, P Simard, B Pearlmutter Advances in neural information processing systems 5, 1992	160	1992
Reverse-mode AD in a functional framework: Lambda the ultimate backpropagator BA Pearlmutter, JM Siskind ACM Transactions on Programming Languages and Systems (TOPLAS) 30 (2), 1-36, 2008	154	2008
Independent components of magnetoencephalography: localization AC Tang, BA Pearlmutter, NA Malaszenko, DB Phung, BC Reeb Neural computation 14 (8), 1827-1858, 2002	137	2002
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	136	2006
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	129	2002
Illusory percepts from auditory adaptation LC Parra, BA Pearlmutter The Journal of the Acoustical Society of America 121 (3), 1632-1641, 2007	113	2007

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