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 ScientistVerified email at flatironinstitute.org
DENNIS HONGProfessor of Mechanical & Aerospace EngineeringVerified email at ucla.edu
Haim SompolinskyProfessor of Physics, Racah Institute of Physics, Edmond and Lily Safra Center for Brain SciencesVerified email at mail.huji.ac.il
Stephen G McGillToyota Research InstituteVerified email at alumni.upenn.edu
Byoung-Tak ZhangProfessor of Computer Science, Cognitive Science, and Brain Science, Seoul National UniversityVerified email at bi.snu.ac.kr
Masashi SugiyamaDirector, RIKEN Center for Advanced Intelligence Project / Professor, The University of TokyoVerified email at k.u-tokyo.ac.jp
Yuanqing LinAibeeVerified email at aibee.co
Jinwook HuhSamsung AI Center, NYVerified email at alumni.upenn.edu
Volkan IslerProfessor, University of MinnesotaVerified email at umn.edu
Fei ShaU of Southern CaliforniaVerified email at usc.edu
Jihun HammTulane UniversityVerified email at tulane.edu
Alex KushleyevKMel RoboticsVerified email at seas.upenn.edu
Bhoram LeeSRI InternationalVerified email at sri.com
David W. TankPrinceton UniversityVerified email at princeton.edu
Heejin JeongPh.D. Candidate, University of Pennsylvania, GRASP LabVerified email at upenn.edu
SueYeon ChungNYU, Flatiron InstituteVerified email at nyu.edu
Vijay KumarProfessor of Mechanical Engineering and Applied Mechanics, University of PennsylvaniaVerified email at seas.upenn.edu

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	14003	1999
Algorithms for non-negative matrix factorization D Lee, HS Seung Advances in neural information processing systems 13, 2000	10440	2000
Advances in neural information processing systems 22 DD Lee, P Pham, Y Largman, A Ng Tech. Rep, 2009	1142	2009
The manifold ways of perception HS Seung, DD Lee science 290 (5500), 2268-2269, 2000	1125	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	657	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	652	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	629	2003
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	537*	2018
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	379	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	362	2002
Equilibrium properties of temporally asymmetric Hebbian plasticity J Rubin, DD Lee, H Sompolinsky Physical review letters 86 (2), 364, 2001	348	2001
Spectral methods for dimensionality reduction. LK Saul, KQ Weinberger, F Sha, J Ham, DD Lee Semi-supervised learning 3, 2006	330	2006
Semisupervised alignment of manifolds J Ham, D Lee, L Saul International Workshop on Artificial Intelligence and Statistics, 120-127, 2005	323	2005
Advances in neural information processing systems 28 C Cortes, ND Lawarence, DD Lee, M Sugiyama, R Garnett NIPS 2015, 2015	222	2015
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	211	2008
Unsupervised learning by convex and conic coding D Lee, HS Seung Advances in neural information processing systems 9, 1996	195	1996
Short-term memory in orthogonal neural networks OL White, DD Lee, H Sompolinsky Physical review letters 92 (14), 148102, 2004	180	2004
The rectified Gaussian distribution N Socci, D Lee, HS Seung Advances in neural information processing systems 10, 1997	174	1997
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	155	2019
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	141	2018

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