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20152022
most citedOn transfer learning of neural networks using bi-fidelity data for uncertainty propagation

10 citations · 17 across the 3 of their papers we have counts for

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2 papers · 1 filter

math.NA2016★ 7 cited

Optimization via Separated Representations and the Canonical Tensor Decomposition

Matthew J Reynolds, Gregory Beylkin, Alireza Doostan

We introduce a new, quadratically convergent algorithm for finding maximum absolute value entries of tensors represented in the canonical format. The computational complexity of th…

math.NA2015

Randomized Alternating Least Squares for Canonical Tensor Decompositions: Application to a PDE with Random Data

Matthew Reynolds, Alireza Doostan, Gregory Beylkin

This paper introduces a randomized variation of the alternating least squares (ALS) algorithm for rank reduction of canonical tensor formats. The aim is to address the potential nu…