Barak A. Pearlmutter 个人学术档案

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Jeffrey Mark SiskindPurdue University在 purdue.edu 的电子邮件经过验证
Michael ZibulevskyAdjunct Professor of Computer Science, Technion - Israel Institute of Technology在 cs.technion.ac.il 的电子邮件经过验证
Atılım Güneş BaydinUniversity of Oxford在 robots.ox.ac.uk 的电子邮件经过验证
Alexey RadulSoftware Engineer, Google在 google.com 的电子邮件经过验证
Lucas C. ParraProfessor of Biomedical Engineering, City College of New York, CUNY在 ccny.cuny.edu 的电子邮件经过验证
Stephanie ForrestProfessor of Computer Science, Univ. of New Mexico在 santafe.edu 的电子邮件经过验证
Akaysha C. TangProfessor, The University of Hong Kong在 hku.hk 的电子邮件经过验证
Anthony ZadorProfessor of Biology, CSHL在 cshl.edu 的电子邮件经过验证
Edmund C LalorAssociate Professor of Biomedical Engineering & Neuroscience, University of Rochester在 urmc.rochester.edu 的电子邮件经过验证
Charles MarkhamMaynooth University在 mu.ie 的电子邮件经过验证
John J. FoxeKilian & Caroline Schmitt Chair, Dept. of Neuroscience, University of Rochester School of Medicine在 urmc.rochester.edu 的电子邮件经过验证
Vamsi Krishna PotluruResearcher在 jpmchase.com 的电子邮件经过验证
Tomas WardInsight SFI Research Centre for Data Analytics, Dublin City University在 dcu.ie 的电子邮件经过验证
Vince D. CalhounDirector-Translational Research in Neuroimaging and Data Science (TReNDS;GSU/GAtech/Emory)在 gsu.edu 的电子邮件经过验证
Richard B. ReillyTrinity College, The University of Dublin在 tcd.ie 的电子邮件经过验证
Sergey PlisTReNDS center: GSU, Emory, and GATech在 gsu.edu 的电子邮件经过验证
Dan PhungColumbia University在 cs.columbia.edu 的电子邮件经过验证
Sung Chan JunAI Graduate School/School of EECS, Gwangju Institute of Science and Technology在 gist.ac.kr 的电子邮件经过验证
Ken GoldbergProfessor, UC Berkeley and UCSF在 berkeley.edu 的电子邮件经过验证
Paul SajdaColumbia University在 columbia.edu 的电子邮件经过验证

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Barak A. Pearlmutter

Dept of Computer Science, Maynooth University

在 pearlmutter.net 的电子邮件经过验证 - 首页

Computational Neuroscience Theoretical Neurobiology Machine Learning Recurrent Neural Networks Automatic Differentiation


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	3471	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	1877	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	1178	2001
Learning state space trajectories in recurrent neural networks Pearlmutter International 1989 Joint Conference on Neural Networks, 365-372 vol. 2, 1989	1132	1989
Fast exact multiplication by the Hessian BA Pearlmutter Neural computation 6 (1), 147-160, 1994	852	1994
Gradient calculations for dynamic recurrent neural networks: A survey BA Pearlmutter IEEE Transactions on Neural networks 6 (5), 1212-1228, 1995	775	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	476	1998
Survey of sparse and nonsparse 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	246	2002
Dynamic recurrent neural networks BA Pearlmutter Computer Science Department, Carnegie Mellon University, 1990	231	1990
Equivalence proofs for multi-layer perceptron classifiers and the Bayesian discriminant function JB Hampshire II, B Pearlmutter Connectionist Models, 159-172, 1991	228	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	201	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	168	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	159	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	148	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	134	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
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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