Shashanka Ubaru
Shashanka Ubaru
IBM Research
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Cited by
Cited by
Fast Estimation of via Stochastic Lanczos Quadrature
S Ubaru, J Chen, Y Saad
SIAM Journal on Matrix Analysis and Applications 38 (4), 1075-1099, 2017
Fast methods for estimating the numerical rank of large matrices
S Ubaru, Y Saad
International Conference on Machine Learning, 468-477, 2016
Spectrum approximation beyond fast matrix multiplication: Algorithms and hardness
C Musco, P Netrapalli, A Sidford, S Ubaru, DP Woodruff
arXiv preprint arXiv:1704.04163, 2017
Formation enthalpies for transition metal alloys using machine learning
S Ubaru, A Międlar, Y Saad, JR Chelikowsky
Physical Review B 95 (21), 214102, 2017
Applications of trace estimation techniques
S Ubaru, Y Saad
International Conference on High Performance Computing in Science and …, 2017
Fast estimation of approximate matrix ranks using spectral densities
S Ubaru, Y Saad, AK Seghouane
Neural computation 29 (5), 1317-1351, 2017
Quantum topological data analysis with linear depth and exponential speedup
S Ubaru, IY Akhalwaya, MS Squillante, KL Clarkson, L Horesh
arXiv preprint arXiv:2108.02811, 2021
Multilabel classification with group testing and codes
S Ubaru, A Mazumdar
International Conference on Machine Learning, 3492-3501, 2017
Union of intersections (uoi) for interpretable data driven discovery and prediction
K Bouchard, A Bujan, F Roosta, S Ubaru, M Prabhat, A Snijders, JH Mao, ...
Advances in Neural Information Processing Systems 30, 2017
Improving the incoherence of a learned dictionary via rank shrinkage
S Ubaru, AK Seghouane, Y Saad
Neural computation 29 (1), 263-285, 2016
Dynamic graph convolutional networks using the tensor M-product
OA Malik, S Ubaru, L Horesh, ME Kilmer, H Avron
Proceedings of the 2021 SIAM international conference on data mining (SDM …, 2021
Topological data analysis on noisy quantum computers
IY Akhalwaya, S Ubaru, KL Clarkson, MS Squillante, V Jejjala, YH He, ...
The Twelfth International Conference on Learning Representations, 2023
Efficient scaling of dynamic graph neural networks
VT Chakaravarthy, SS Pandian, S Raje, Y Sabharwal, T Suzumura, ...
Proceedings of the International Conference for High Performance Computing …, 2021
Dynamic graph and polynomial chaos based models for contact tracing data analysis and optimal testing prescription
S Ubaru, L Horesh, G Cohen
Journal of biomedical informatics 122, 103901, 2021
Analysis of stochastic Lanczos quadrature for spectrum approximation
T Chen, T Trogdon, S Ubaru
International Conference on Machine Learning, 1728-1739, 2021
Low rank approximation and decomposition of large matrices using error correcting codes
S Ubaru, A Mazumdar, Y Saad
IEEE Transactions on Information Theory 63 (9), 5544-5558, 2017
Low rank approximation using error correcting coding matrices
S Ubaru, A Mazumdar, Y Saad
International Conference on Machine Learning, 702-710, 2015
Sampling and multilevel coarsening algorithms for fast matrix approximations
S Ubaru, Y Saad
Numerical Linear Algebra with Applications 26 (3), e2234, 2019
UoI-NMF cluster: a robust nonnegative matrix factorization algorithm for improved parts-based decomposition and reconstruction of noisy data
S Ubaru, K Wu, KE Bouchard
2017 16th IEEE International Conference on Machine Learning and Applications …, 2017
Projection techniques to update the truncated SVD of evolving matrices with applications
V Kalantzis, G Kollias, S Ubaru, AN Nikolakopoulos, L Horesh, K Clarkson
International Conference on Machine Learning, 5236-5246, 2021
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