Daniel D. Lee

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H Sebastian SeungProfessor, Princeton Neuroscience Institute and Computer Science Dept.E-mail confirmado em princeton.edu
Seung-Joon YiPusan National UniversityE-mail confirmado em pusan.ac.kr
Paul VernazaCruiseE-mail confirmado em getcruise.com
Haim SompolinskyProfessor of Molecular and Cellular Biology and of Physics, Harvard UniversityE-mail confirmado em mcb.harvard.edu
DENNIS HONGProfessor of Mechanical & Aerospace EngineeringE-mail confirmado em ucla.edu
Volkan IslerProfessor, The University of Texas at AustinE-mail confirmado em cs.utexas.edu
Stephen G McGillToyota Research InstituteE-mail confirmado em alumni.upenn.edu
Masashi SugiyamaDirector, RIKEN Center for Advanced Intelligence Project / Professor, The University of TokyoE-mail confirmado em k.u-tokyo.ac.jp
Byoung-Tak ZhangProfessor of Computer Science, Cognitive Science, and Brain Science, Seoul National UniversityE-mail confirmado em bi.snu.ac.kr
Jinwook HuhSamsung AI Center, NYE-mail confirmado em alumni.upenn.edu
Yuanqing LinAibeeE-mail confirmado em aibee.co
Jihun HammTulane UniversityE-mail confirmado em tulane.edu
Fei ShaGoogle ResearchE-mail confirmado em feisha.org
Daewon LeeSamsung AI Center NYE-mail confirmado em seas.upenn.edu
SueYeon ChungAssistant Professor, Flatiron Institute, NYUE-mail confirmado em flatironinstitute.org
Bhoram LeeSRI InternationalE-mail confirmado em sri.com
Alex KushleyevKMel RoboticsE-mail confirmado em seas.upenn.edu
David W. TankPrinceton UniversityE-mail confirmado em princeton.edu
Vijay KumarProfessor of Mechanical Engineering and Applied Mechanics, University of PennsylvaniaE-mail confirmado em seas.upenn.edu
George PappasUPS Foundation Professor, Electrical and Systems Engineering, University of PennsylvaniaE-mail confirmado em seas.upenn.edu

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Daniel D. Lee

Tisch University Professor of ECE, Cornell University

E-mail confirmado em alum.mit.edu - Página inicial

machine learning robotics computational neuroscience statistical physics


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Learning the parts of objects by non-negative matrix factorization DD Lee, HS Seung nature 401 (6755), 788-791, 1999	17058	1999
Algorithms for non-negative matrix factorization D Lee, HS Seung Advances in neural information processing systems 13, 2000	12113	2000
Advances in Neural Information Processing Systems. 2000 DD Lee, HS Seung Algorithms for non-negative matrix factorization, 556-562, 0	3352*
Advances in neural information processing systems 22 DD Lee, P Pham, Y Largman, A Ng Tech. Rep, 2009	2793*	2009
The manifold ways of perception HS Seung, DD Lee science 290 (5500), 2268-2269, 2000	1191	2000
Grassmann discriminant analysis: a unifying view on subspace-based learning J Hamm, DD Lee Proceedings of the 25th international conference on Machine learning, 376-383, 2008	785	2008
A kernel view of the dimensionality reduction of manifolds J Ham, DD Lee, S Mika, B Schölkopf Proceedings of the twenty-first international conference on Machine learning, 47, 2004	729	2004
System and method for providing interactive dialogue and iterative search functions to find information KG August, CS Chuang, M McNerney, EA Shriver, M Hansen, PW Ong, ... US Patent 6,647,383, 2003	704	2003
Stability of the memory of eye position in a recurrent network of conductance-based model neurons HS Seung, DD Lee, BY Reis, DW Tank Neuron 26 (1), 259-271, 2000	406	2000
Multiplicative updates for nonnegative quadratic programming in support vector machines F Sha, L Saul, D Lee Advances in neural information processing systems 15, 2002	394	2002
Equilibrium properties of temporally asymmetric Hebbian plasticity J Rubin, DD Lee, H Sompolinsky Physical review letters 86 (2), 364, 2001	384	2001
Spectral methods for dimensionality reduction. LK Saul, KQ Weinberger, F Sha, J Ham, DD Lee Semi-supervised learning 3, 566-806, 2006	367	2006
Semisupervised alignment of manifolds J Ham, D Lee, L Saul International Workshop on Artificial Intelligence and Statistics, 120-127, 2005	349	2005
Approximating explicit model predictive control using constrained neural networks S Chen, K Saulnier, N Atanasov, DD Lee, V Kumar, GJ Pappas, M Morari 2018 Annual American control conference (ACC), 1520-1527, 2018	289	2018
Learning optimal resource allocations in wireless systems M Eisen, C Zhang, LFO Chamon, DD Lee, A Ribeiro IEEE Transactions on Signal Processing 67 (10), 2775-2790, 2019	269	2019
Little ben: The ben franklin racing team's entry in the 2007 DARPA urban challenge J Bohren, T Foote, J Keller, A Kushleyev, D Lee, A Stewart, P Vernaza, ... Journal of Field Robotics 25 (9), 598-614, 2008	246	2008
Separability and geometry of object manifolds in deep neural networks U Cohen, SY Chung, DD Lee, H Sompolinsky Nature communications 11 (1), 746, 2020	239	2020
Curran Associates C Cortes, ND Lawrence, DD Lee, M Sugiyama, R Garnett Inc.: Red Hook, NY, USA 28, 1135-1143, 2015	238	2015
Proceedings of the 30th international conference on neural information processing systems DD Lee, U von Luxburg, R Garnett, M Sugiyama, I Guyon Curran Associates Inc., 2016	217	2016
Short-term memory in orthogonal neural networks OL White, DD Lee, H Sompolinsky Physical review letters 92 (14), 148102, 2004	209	2004

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