Arvind K. Saibaba

A randomized tensor singular value decomposition based on the t‐product

Jiani Zhang, Arvind K. Saibaba, Misha E. Kilmer et al. · Numerical Linear Algebra with Applications · 2018 · 85 citations

Third‐order Tensors, Low-rank Approximation, Machine Vision +13

Randomized algorithms for generalized Hermitian eigenvalue problems with application to computing Karhunen–Loève expansion

Arvind K. Saibaba, Jonghyun Lee, Peter K. Kitanidis · Numerical Linear Algebra with Applications · 2015 · 60 citations

Numerical Analysis, Spectral Theory, Numerical Computation +11

Goal-oriented optimal design of experiments for large-scale Bayesian linear inverse problems

Ahmed Attia, Alen Alexanderian, Arvind K. Saibaba · Inverse Problems · 2018 · 58 citations · Full text

Efficient methods for large‐scale linear inversion using a geostatistical approach

Arvind K. Saibaba, Peter K. Kitanidis · Water Resources Research · 2012 · 50 citations

Numerical Analysis, Covariance Matrix, Engineering +21

Fast computation of uncertainty quantification measures in the geostatistical approach to solve inverse problems

Arvind K. Saibaba, Peter K. Kitanidis · Advances in Water Resources · 2015 · 45 citations · Full text

Numerical Analysis, Engineering, Uncertainty Modeling +10