5 citations · 9 across the 21 of their papers we have counts for
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math.NA2021
Efficient randomized tensor-based algorithms for function approximation and low-rank kernel interactions
Arvind K. Saibaba, Rachel Minster, Misha E. Kilmer
In this paper, we introduce a method for multivariate function approximation using function evaluations, Chebyshev polynomials, and tensor-based compression techniques via the Tuck…
math.NA2021
Structured Matrix Approximations via Tensor Decompositions
Misha E. Kilmer, Arvind K. Saibaba
We provide a computational framework for approximating a class of structured matrices; here, the term structure is very general, and may refer to a regular sparsity pattern (e.g.,…