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Niranjan Uma Naresh
Niranjan Uma Naresh
Unknown affiliation
Verified email at uci.edu
Title
Cited by
Cited by
Year
Non-convex robust PCA
P Netrapalli, N UN, S Sanghavi, A Anandkumar, P Jain
Advances in Neural Information Processing Systems 27, 2014
3002014
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
1442016
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
742016
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
632016
Fast detection of overlapping communities via online tensor methods
F Huang, UN Niranjan, MU Hakeem, A Anandkumar
arXiv preprint arXiv:1309.0787 40 (43), 3, 2013
432013
Online tensor methods for learning latent variable models
F Huang, UN Niranjan, MU Hakeem, A Anandkumar
Journal of Machine Learning Research 16, 2797-2835, 2015
372015
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
202013
Inductive Pairwise Ranking: Going Beyond the n log(n) Barrier
UN Niranjan, A Rajkumar
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
122017
Guaranteed scalable learning of latent tree models
F Huang, NU Naresh, I Perros, R Chen, J Sun, A Anandkumar
Uncertainty in Artificial Intelligence, 883-893, 2020
52020
Streaming robust PCA
UN Niranjan, Y Shi
Preprint, 2016
52016
Puzzhull: Cavity and protrusion hierarchy to fit conformal polygons
S Mistry, UN Niranjan, M Gopi
Computer-Aided Design 46, 233-238, 2014
52014
Provable inductive robust pca via iterative hard thresholding
UN Niranjan, A Rajkumar, T Tulabandhula
arXiv preprint arXiv:1704.00367, 2017
32017
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
22015
Integrated structure and parameters learning in latent tree graphical models
F Huang, UN Niranjan, A Anandkumar
arXiv preprint arXiv:1406.4566, 2014
12014
ScaLA: Accelerating Adaptation of Pre-Trained Transformer-Based Language Models via Efficient Large-Batch Adversarial Noise
M Zhang, NU Naresh, Y He
arXiv preprint arXiv:2201.12469, 2022
2022
Adversarial Data Augmentation for Task-Specific Knowledge Distillation of Pre-Trained Transformers
M Zhng, NU Naresh, Y He
2022
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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