shashanka ubaru - Citegraph

Author Info

Name	Affiliation	Papers
SHASHANKA UBARU	Department of Computer Science and Engineering, University of Minnesota, Twin Cities, MN, USA	23
Collaborators	Citations	PageRank
43	58	8.97
Referers	Referees	References
122	360	265

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100360

Publications (23 rows)

Collaborators (43 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Dynamic graph and polynomial chaos based models for contact tracing data analysis and optimal testing prescription	1	0.34	2021
Dynamic graph and polynomial chaos based models for contact tracing data analysis and optimal testing prescription	1	0.34	2021
Analysis Of Stochastic Lanczos Quadrature For Spectrum Approximation	0	0.34	2021
Projection Techniques To Update The Truncated Svd Of Evolving Matrices With Applications	0	0.34	2021
Dynamic Graph Convolutional Networks Using the Tensor M-Product.	1	0.38	2021
SPARSE GRAPH BASED SKETCHING FOR FAST NUMERICAL LINEAR ALGEBRA	0	0.34	2021
Multilabel Classification by Hierarchical Partitioning and Data-dependent Grouping	0	0.34	2020
Spectrum-Adapted Polynomial Approximation For Matrix Functions With Applications In Graph Signal Processing	0	0.34	2020
Spectrum-Adapted Polynomial Approximation for Matrix Functions.	1	0.37	2018
Spectrum Approximation Beyond Fast Matrix Multiplication: Algorithms and Hardness.	3	0.41	2018
Run Procrustes, Run! On the convergence of accelerated Procrustes Flow.	0	0.34	2018
Find the dimension that counts: Fast dimension estimation and Krylov PCA.	0	0.34	2018
Multilabel Classification with Group Testing and Codes.	1	0.34	2017
UoI-NMF Cluster: A Robust Nonnegative Matrix Factorization Algorithm for Improved Parts-Based Decomposition and Reconstruction of Noisy Data.	0	0.34	2017
Fast Estimation of tr(f(A)) via Stochastic Lanczos Quadrature.	21	0.79	2017
Applications Of Trace Estimation Techniques	0	0.34	2017
Sampling and multilevel coarsening algorithms for fast matrix approximations.	0	0.34	2017
Improving the Incoherence of a Learned Dictionary via Rank Shrinkage.	1	0.36	2017
Union of Intersections (UoI) for Interpretable Data Driven Discovery and Prediction.	1	0.34	2017
Fast estimation of approximate matrix ranks using spectral densities.	7	0.49	2017
Fast methods for estimating the Numerical rank of large matrices.	11	0.56	2016
Low rank approximation and decomposition of large matrices using error correcting codes	3	0.41	2015
Low Rank Approximation using Error Correcting Coding Matrices	6	0.45	2015