Barak A. Pearlmutter

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Jeffrey Mark SiskindPurdue UniversityPatvirtintas el. paštas purdue.edu
Atılım Güneş BaydinUniversity of OxfordPatvirtintas el. paštas robots.ox.ac.uk
Michael ZibulevskyAdjunct Professor of Computer Science, Technion - Israel Institute of TechnologyPatvirtintas el. paštas cs.technion.ac.il
Alexey RadulSoftware Engineer, GooglePatvirtintas el. paštas google.com
Lucas C. ParraProfessor of Biomedical Engineering, City College of New York, CUNYPatvirtintas el. paštas ccny.cuny.edu
Stephanie ForrestProfessor of Computer Science, Univ. of New MexicoPatvirtintas el. paštas santafe.edu
Akaysha C. TangProfessor, The University of Hong KongPatvirtintas el. paštas hku.hk
Anthony ZadorProfessor of Biology, CSHLPatvirtintas el. paštas cshl.edu
Edmund C LalorAssociate Professor of Biomedical Engineering & Neuroscience, University of RochesterPatvirtintas el. paštas urmc.rochester.edu
Charles MarkhamMaynooth UniversityPatvirtintas el. paštas mu.ie
John J. FoxeKilian & Caroline Schmitt Chair, Dept. of Neuroscience, University of Rochester School of MedicinePatvirtintas el. paštas urmc.rochester.edu
Vamsi Krishna PotluruResearcherPatvirtintas el. paštas jpmchase.com
Tomas WardInsight SFI Research Centre for Data Analytics, Dublin City UniversityPatvirtintas el. paštas dcu.ie
Vince D. CalhounDirector-Translational Research in Neuroimaging and Data Science (TReNDS;GSU/GAtech/Emory)Patvirtintas el. paštas gsu.edu
Richard B. ReillyTrinity College, The University of DublinPatvirtintas el. paštas tcd.ie
Sergey PlisTReNDS center: GSU, Emory, and GATechPatvirtintas el. paštas gsu.edu
Sung Chan JunAI Graduate School/School of EECS, Gwangju Institute of Science and TechnologyPatvirtintas el. paštas gist.ac.kr
Dan PhungColumbia UniversityPatvirtintas el. paštas cs.columbia.edu
Paul SajdaColumbia UniversityPatvirtintas el. paštas columbia.edu
Christopher V. AlvinoApplePatvirtintas el. paštas gtalumni.org

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Barak A. Pearlmutter

Dept of Computer Science, Maynooth University

Patvirtintas el. paštas pearlmutter.net - Pagrindinis puslapis

Computational Neuroscience Theoretical Neurobiology Machine Learning Recurrent Neural Networks Automatic Differentiation


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	4108	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	1880	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	1184	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	891	1994
Gradient calculations for dynamic recurrent neural networks: A survey BA Pearlmutter IEEE Transactions on Neural networks 6 (5), 1212-1228, 1995	792	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	491	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	252	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	159	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	129	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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