Barak A. Pearlmutter

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Jeffrey Mark SiskindPurdue UniversityVerified email at purdue.edu
Michael ZibulevskyAdjunct Professor of Computer Science, Technion - Israel Institute of TechnologyVerified email at cs.technion.ac.il
Atılım Güneş BaydinUniversity of OxfordVerified email at robots.ox.ac.uk
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
Charles MarkhamMaynooth UniversityVerified email at mu.ie
Edmund C LalorAssociate Professor of Biomedical Engineering & Neuroscience, University of RochesterVerified 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
John J. FoxeKilian & Caroline Schmitt Chair, Dept. of Neuroscience, University of Rochester School of MedicineVerified email at urmc.rochester.edu
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
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
Ken GoldbergProfessor, UC Berkeley and UCSFVerified email at berkeley.edu

Barak A. Pearlmutter

Prof Comp 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	2799	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	1864	1999
Blind source separation by sparse decomposition in a signal dictionary M Zibulevsky, BA Pearlmutter Neural computation 13 (4), 863-882, 2001	1174	2001
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	1150	2001
Learning state space trajectories in recurrent neural networks Pearlmutter International 1989 Joint Conference on Neural Networks, 365-372 vol. 2, 1989	1118	1989
Fast exact multiplication by the Hessian BA Pearlmutter Neural computation 6 (1), 147-160, 1994	785	1994
Gradient calculations for dynamic recurrent neural networks: A survey BA Pearlmutter IEEE Transactions on Neural networks 6 (5), 1212-1228, 1995	758	1995
A context-sensitive generalization of ICA BA Pearlmutter, LC Parra International conference on neural information processing 151, 1996	558*	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	469	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	248	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	244	2002
Equivalence proofs for multi-layer perceptron classifiers and the Bayesian discriminant function JB Hampshire II, B Pearlmutter Connectionist Models, 159-172, 1991	221	1991
Dynamic recurrent neural networks BA Pearlmutter Computer Science Department, Carnegie Mellon University, 1990	216	1990
Hemodynamics for brain-computer interfaces F Matthews, BA Pearlmutter, TE Wards, C Soraghan, C Markham IEEE Signal Processing Magazine 25 (1), 87-94, 2007	201	2007
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	158	1992
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	154	2006
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	138	2008
Independent components of magnetoencephalography: localization AC Tang, BA Pearlmutter, NA Malaszenko, DB Phung, BC Reeb Neural computation 14 (8), 1827-1858, 2002	136	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	133	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	127	2002

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