Niranjan Uma Naresh (U.N.Niranjan)

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	All	Since 2015
Citations	572	554
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201320142015201620172018201920202 13 29 77 115 123 121 89

Co-authors

Anima AnandkumarCalifornia Institute of Technology and NVIDIAVerified email at caltech.edu
Prateek JainMicrosoft Research IndiaVerified email at microsoft.com
Yang ShiUniversity of California, IrvineVerified email at uci.edu
Furong HuangUniversity of MarylandVerified email at cs.umd.edu
Praneeth NetrapalliMicrosoft ResearchVerified email at microsoft.com
Sujay SanghaviAssociate Professor, Electrical and Computer Engineering, WNCG, University of Texas, AustinVerified email at mail.utexas.edu
Li Li (李力)GoogleVerified email at google.com
Matthias RuppUniversity of KonstanzVerified email at uni-konstanz.de
John C. SnyderFormer Postdoc, Technische Universität Berlin / Max-Planck-Institut fürVerified email at uci.edu
Klaus-Robert MüllerGoogle Brain (on leave of Professor for Machine Learning, TU Berlin & Korea University, Seoul)Verified email at tu-berlin.de
Kieron BurkeUC Irvine chemistry and physicsVerified email at uci.edu
Cris CeckaNVIDIA Research, Stanford UniversityVerified email at nvidia.com
Arun RajkumarAssistant ProfessorVerified email at cse.iitm.ac.in
Ioakeim PerrosLead Machine Learning Scientist, HEALTH[at]SCALEVerified email at gatech.edu
Jimeng SunProfessor at University of Illinois Urbana-ChampaignVerified email at illinois.edu
Gopi Meenakshisundaram (M. Gopi)University of California, IrvineVerified email at ics.uci.edu

Niranjan Uma Naresh (U.N.Niranjan)

Microsoft

Verified email at uci.edu

Machine learning probability algorithms


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Non-convex robust PCA P Netrapalli, UN Niranjan, S Sanghavi, A Anandkumar, P Jain Advances in Neural Information Processing Systems, 1107-1115, 2014	244	2014
Understanding machine‐learned density functionals L Li, JC Snyder, IM Pelaschier, J Huang, UN Niranjan, P Duncan, M Rupp, ... International Journal of Quantum Chemistry 116 (11), 819-833, 2016	101	2016
Tensor vs. matrix methods: Robust tensor decomposition under block sparse perturbations A Anandkumar, P Jain, Y Shi, UN Niranjan Artificial Intelligence and Statistics, 268-276, 2016	55	2016
Tensor contractions with extended blas kernels on cpu and gpu Y Shi, UN Niranjan, A Anandkumar, C Cecka 2016 IEEE 23rd International Conference on High Performance Computing (HiPC …, 2016	49	2016
Fast detection of overlapping communities via online tensor methods F Huang, UN Niranjan, MU Hakeem, A Anandkumar arXiv preprint arXiv:1309.0787 40, 43, 2013	38	2013
Online tensor methods for learning latent variable models F Huang, UN Niranjan, MU Hakeem, A Anandkumar The Journal of Machine Learning Research 16 (1), 2797-2835, 2015	33	2015
Fast detection of overlapping communities via online tensor methods on gpus F Huang, UN Niranjan, MU Hakeem, P Verma, A Anandkumar CoRR, abs/1309.0787, 2013	21	2013
Scalable latent tree model and its application to health analytics F Huang, UN Niranjan, I Perros, R Chen, J Sun, A Anandkumar	10	2017
Inductive pairwise ranking: going beyond the n log (n) barrier UN Niranjan, A Rajkumar arXiv preprint arXiv:1702.02661, 2017	6	2017
Streaming robust PCA UN Niranjan, Y Shi Preprint, 2016	5	2016
Puzzhull: Cavity and protrusion hierarchy to fit conformal polygons S Mistry, UN Niranjan, M Gopi Computer-Aided Design 46, 233-238, 2014	4	2014
Provable inductive robust pca via iterative hard thresholding UN Niranjan, A Rajkumar, T Tulabandhula arXiv preprint arXiv:1704.00367, 2017	3	2017
Feast at play: Feature extraction using score function tensors M Janzamin, H Sedghi, UN Niranjan, A Anandkumar Feature Extraction: Modern Questions and Challenges, 130-144, 2015	2	2015
Integrated structure and parameters learning in latent tree graphical models F Huang, UN Niranjan, A Anandkumar arXiv preprint arXiv:1406.4566, 2014	1	2014
April 30, 2012 UN Niranjan		2012
Streaming Robust PCA Y Shi, UN Niranjan
Matrix vs Tensor Denoising Methods under Block Sparse Perturbations A Anandkumar, P Jain, Y Shi, UN Niranjan

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