Daniel D. Lee

引用次数

	总计	2020 年至今
引用	46809	17510
h 指数	52	35
i10 指数	170	93

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H Sebastian SeungProfessor, Princeton Neuroscience Institute and Computer Science Dept.在 princeton.edu 的电子邮件经过验证
Seung-Joon YiPusan National University在 pusan.ac.kr 的电子邮件经过验证
Paul VernazaCruise在 getcruise.com 的电子邮件经过验证
Haim SompolinskyProfessor of Molecular and Cellular Biology and of Physics, Harvard University在 mcb.harvard.edu 的电子邮件经过验证
DENNIS HONGProfessor of Mechanical & Aerospace Engineering在 ucla.edu 的电子邮件经过验证
Volkan IslerProfessor, The University of Texas at Austin在 cs.utexas.edu 的电子邮件经过验证
Masashi SugiyamaDirector, RIKEN Center for Advanced Intelligence Project / Professor, The University of Tokyo在 k.u-tokyo.ac.jp 的电子邮件经过验证
Stephen G McGillToyota Research Institute在 alumni.upenn.edu 的电子邮件经过验证
Byoung-Tak ZhangProfessor of Computer Science, Cognitive Science, and Brain Science, Seoul National University在 bi.snu.ac.kr 的电子邮件经过验证
Jinwook HuhSamsung AI Center, NY在 alumni.upenn.edu 的电子邮件经过验证
Yuanqing LinAibee在 aibee.co 的电子邮件经过验证
Fei ShaGoogle Research在 feisha.org 的电子邮件经过验证
Daewon LeeSamsung AI Center NY在 seas.upenn.edu 的电子邮件经过验证
Bhoram LeeSRI International在 sri.com 的电子邮件经过验证
Jihun HammTulane University在 tulane.edu 的电子邮件经过验证
SueYeon ChungAssistant Professor, Flatiron Institute, NYU在 flatironinstitute.org 的电子邮件经过验证
Alex KushleyevKMel Robotics在 seas.upenn.edu 的电子邮件经过验证
David W. TankPrinceton University在 princeton.edu 的电子邮件经过验证
Vijay KumarProfessor of Mechanical Engineering and Applied Mechanics, University of Pennsylvania在 seas.upenn.edu 的电子邮件经过验证
George PappasUPS Foundation Professor, Electrical and Systems Engineering, University of Pennsylvania在 seas.upenn.edu 的电子邮件经过验证

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Daniel D. Lee

Tisch University Professor of ECE, Cornell University

在 alum.mit.edu 的电子邮件经过验证 - 首页

machine learning robotics computational neuroscience statistical physics


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
Learning the parts of objects by non-negative matrix factorization DD Lee, HS Seung nature 401 (6755), 788-791, 1999	17057	1999
Algorithms for non-negative matrix factorization D Lee, HS Seung Advances in neural information processing systems 13, 2000	12598	2000
Advances in neural information processing systems 22 DD Lee, P Pham, Y Largman, A Ng Tech. Rep, 2009	3992*	2009
The manifold ways of perception HS Seung, DD Lee science 290 (5500), 2268-2269, 2000	1205	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	783	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	721	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	701	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	409	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	364	2006
Semisupervised alignment of manifolds J Ham, D Lee, L Saul International Workshop on Artificial Intelligence and Statistics, 120-127, 2005	348	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	286	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	263	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	248	2008
Curran Associates C Cortes, ND Lawrence, DD Lee, M Sugiyama, R Garnett Inc.: Red Hook, NY, USA 28, 1135-1143, 2015	227	2015
Separability and geometry of object manifolds in deep neural networks U Cohen, SY Chung, DD Lee, H Sompolinsky Nature communications 11 (1), 746, 2020	225	2020
Short-term memory in orthogonal neural networks OL White, DD Lee, H Sompolinsky Physical review letters 92 (14), 148102, 2004	209	2004
Unsupervised learning by convex and conic coding D Lee, HS Seung Advances in neural information processing systems 9, 1996	203	1996
Classification and Geometry of General Perceptual Manifolds SY Chung, DD Lee, H Sompolinsky Physical Review X 8 (3), 031003, 2018	185	2018

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