Barak A. Pearlmutter

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Jeffrey Mark SiskindPurdue UniversityEmail yang diverifikasi di purdue.edu
Atılım Güneş BaydinUniversity of OxfordEmail yang diverifikasi di robots.ox.ac.uk
Michael ZibulevskyAdjunct Professor of Computer Science, Technion - Israel Institute of TechnologyEmail yang diverifikasi di cs.technion.ac.il
Alexey RadulSoftware Engineer, GoogleEmail yang diverifikasi di google.com
Lucas C. ParraProfessor of Biomedical Engineering, City College of New York, CUNYEmail yang diverifikasi di ccny.cuny.edu
Stephanie ForrestProfessor of Computer Science, Univ. of New MexicoEmail yang diverifikasi di santafe.edu
Akaysha C. TangProfessor, The University of Hong KongEmail yang diverifikasi di hku.hk
Anthony ZadorProfessor of Biology, CSHLEmail yang diverifikasi di cshl.edu
Edmund C LalorAssociate Professor of Biomedical Engineering & Neuroscience, University of RochesterEmail yang diverifikasi di urmc.rochester.edu
Charles MarkhamMaynooth UniversityEmail yang diverifikasi di mu.ie
John J. FoxeKilian & Caroline Schmitt Chair, Dept. of Neuroscience, University of Rochester School of MedicineEmail yang diverifikasi di urmc.rochester.edu
Vamsi Krishna PotluruResearcherEmail yang diverifikasi di jpmchase.com
Tomas WardProfessor & Director, Insight Research Ireland Centre for Data Analytics, Dublin City UniversityEmail yang diverifikasi di dcu.ie
Sergey PlisTReNDS center: GSU, Emory, and GATechEmail yang diverifikasi di gsu.edu
Vince D. CalhounDirector-Translational Research in Neuroimaging and Data Science (TReNDS;GSU/GAtech/Emory)Email yang diverifikasi di gsu.edu
Richard B. ReillyTrinity College, The University of DublinEmail yang diverifikasi di tcd.ie
Sung Chan JunAI Graduate School/School of EECS, Gwangju Institute of Science and TechnologyEmail yang diverifikasi di gist.ac.kr
Dan PhungColumbia UniversityEmail yang diverifikasi di cs.columbia.edu
Paul SajdaColumbia UniversityEmail yang diverifikasi di columbia.edu
Christopher V. AlvinoAppleEmail yang diverifikasi di gtalumni.org

Ikuti

Barak A. Pearlmutter

Dept of Computer Science, Maynooth University

Email yang diverifikasi di pearlmutter.net - Beranda

Computational Neuroscience Theoretical Neurobiology Machine Learning Recurrent Neural Networks Automatic Differentiation


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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	4159	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	1882	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	1185	2001
Learning state space trajectories in recurrent neural networks Pearlmutter International 1989 Joint Conference on Neural Networks, 365-372 vol. 2, 1989	1147	1989
Fast exact multiplication by the Hessian BA Pearlmutter Neural computation 6 (1), 147-160, 1994	897	1994
Gradient calculations for dynamic recurrent neural networks: A survey BA Pearlmutter IEEE Transactions on Neural networks 6 (5), 1212-1228, 1995	793	1995
A context-sensitive generalization of ICA BA Pearlmutter, LC Parra International conference on neural information processing 151, 1996	574*	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	492	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	255	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	253	2002
Dynamic recurrent neural networks BA Pearlmutter Computer Science Department, Carnegie Mellon University, 1990	239	1990
Equivalence proofs for multi-layer perceptron classifiers and the Bayesian discriminant function JB Hampshire II, B Pearlmutter Connectionist Models, 159-172, 1991	236	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	204	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	177	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	160	2008
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
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
Independent components of magnetoencephalography: localization AC Tang, BA Pearlmutter, NA Malaszenko, DB Phung, BC Reeb Neural computation 14 (8), 1827-1858, 2002	136	2002
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	130	2002
Illusory percepts from auditory adaptation LC Parra, BA Pearlmutter The Journal of the Acoustical Society of America 121 (3), 1632-1641, 2007	112	2007

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