Arvind K. Saibaba

Area(s) of Expertise

Inverse Problems, Numerical Linear Algebra, Applications to Medical Imaging and Geosciences.

Publications

• A COMPUTATIONAL FRAMEWORK FOR EDGE-PRESERVING REGULARIZATION IN DYNAMIC INVERSE PROBLEMS , ELECTRONIC TRANSACTIONS ON NUMERICAL ANALYSIS (2023)
• EFFICIENT ALGORITHMS FOR BAYESIAN INVERSE PROBLEMS WITH WHITTLE--MATERN PRIORS , SIAM JOURNAL ON SCIENTIFIC COMPUTING (2023)
• HYBRID PROJECTION METHODS FOR SOLUTION DECOMPOSITION IN LARGE-SCALE BAYESIAN INVERSE PROBLEMS\ast , SIAM JOURNAL ON SCIENTIFIC COMPUTING (2023)
• MONTE CARLO METHODS FOR ESTIMATING THE DIAGONAL OF A REAL SYMMETRIC MATRIX , SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS (2023)
• RANDOMIZED ALGORITHMS FOR ROUNDING IN THE TENSOR-TRAIN FORMAT , SIAM JOURNAL ON SCIENTIFIC COMPUTING (2023)
• Randomized reduced basis methods for parameterized fractional elliptic PDEs , FINITE ELEMENTS IN ANALYSIS AND DESIGN (2023)
• Tensor-based flow reconstruction from optimally located sensor measurements , JOURNAL OF FLUID MECHANICS (2023)
• Computationally efficient methods for large-scale atmospheric inverse modeling , GEOSCIENTIFIC MODEL DEVELOPMENT (2022)
• Efficient randomized tensor-based algorithms for function approximation and low-rank kernel interactions , ADVANCES IN COMPUTATIONAL MATHEMATICS (2022)
• Kryging: geostatistical analysis of large-scale datasets using Krylov subspace methods , STATISTICS AND COMPUTING (2022)