Daniel D. Lee

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H Sebastian SeungProfessor, Princeton Neuroscience Institute and Computer Science Dept.Verified email at princeton.edu
Seung-Joon YiPusan National UniversityVerified email at pusan.ac.kr
Paul VernazaAurora InnovationVerified email at aurora.tech
Lawrence K SaulSenior Research Scientist, Center for Computational Mathematics, Flatiron InstituteVerified email at flatironinstitute.org
DENNIS HONGProfessor of Mechanical & Aerospace EngineeringVerified email at ucla.edu
Haim SompolinskyProfessor of Molecular and Cellular Biology and of Physics, Harvard UniversityVerified email at mcb.harvard.edu
Stephen G McGillToyota Research InstituteVerified email at alumni.upenn.edu
Masashi SugiyamaDirector, RIKEN Center for Advanced Intelligence Project / Professor, The University of TokyoVerified email at k.u-tokyo.ac.jp
Byoung-Tak ZhangProfessor of Computer Science, Cognitive Science, and Brain Science, Seoul National UniversityVerified email at bi.snu.ac.kr
Volkan IslerProfessor, University of MinnesotaVerified email at umn.edu
Jinwook HuhSamsung AI Center, NYVerified email at alumni.upenn.edu
Yuanqing LinAibeeVerified email at aibee.co
Fei ShaU of Southern CaliforniaVerified email at usc.edu
Jihun HammTulane UniversityVerified email at tulane.edu
Bhoram LeeSRI InternationalVerified email at sri.com
Alex KushleyevKMel RoboticsVerified email at seas.upenn.edu
David W. TankPrinceton UniversityVerified email at princeton.edu
Daewon LeeSamsung AI Center NYVerified email at seas.upenn.edu
SueYeon ChungAssistant Professor, NYU, Flatiron InstituteVerified email at nyu.edu
Heejin JeongWaymoVerified email at waymo.com

Daniel D. Lee

Tisch University Professor of ECE, Cornell Tech and Executive Vice President, Samsung Research

Verified email at alum.mit.edu - Homepage

machine learning robotics computational neuroscience statistical physics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Learning the parts of objects by non-negative matrix factorization DD Lee, HS Seung Nature 401 (6755), 788-791, 1999	14941	1999
Algorithms for non-negative matrix factorization D Lee, HS Seung Advances in neural information processing systems 13, 2000	10933	2000
The manifold ways of perception HS Seung, DD Lee science 290 (5500), 2268-2269, 2000	1147	2000
Proceedings of the 32nd International Conference on Neural Information Processing Systems S Bengio, HM Wallach, H Larochelle, K Grauman, N Cesa-Bianchi Curran Associates Inc., 2018	968*	2018
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	709	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	692	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	660	2003
Algorithms for non-negative matrix factorization D Seung, L Lee Advances in neural information processing systems 13, 556-562, 2001	608	2001
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	382	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	378	2002
Equilibrium properties of temporally asymmetric Hebbian plasticity J Rubin, DD Lee, H Sompolinsky Physical review letters 86 (2), 364, 2001	361	2001
Advances in neural information processing systems K Sohn, H Lee, X Yan, C Cortes, N Lawrence, D Lee Neural Information Processing Systems Foundation, Curran Associates, Inc …, 2015	351	2015
Spectral methods for dimensionality reduction. LK Saul, KQ Weinberger, F Sha, J Ham, DD Lee Semi-supervised learning 3, 2006	338	2006
Semisupervised alignment of manifolds J Ham, D Lee, L Saul International Workshop on Artificial Intelligence and Statistics, 120-127, 2005	327	2005
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	230	2008
Unsupervised learning by convex and conic coding D Lee, HS Seung Advances in neural information processing systems 9, 1996	200	1996
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	195	2019
Short-term memory in orthogonal neural networks OL White, DD Lee, H Sompolinsky Physical review letters 92 (14), 148102, 2004	189	2004
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	179	2018
The rectified Gaussian distribution N Socci, D Lee, HS Seung Advances in neural information processing systems 10, 1997	178	1997

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