Matthew J. Reynolds

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 4

Top Topics

Tensor Decomposition

Transfer Learning

Top Venues

J. Comput. Phys.

SIAM J. Sci. Comput.

Publications

Subhayan De, Malik Hassanaly, Matthew J. Reynolds, Ryan N. King, Alireza Doostan
Bi-fidelity Modeling of Uncertain and Partially Unknown Systems using DeepONets. CoRR (2022)
Subhayan De, Jolene Britton, Matthew J. Reynolds, Ryan Skinner, Kenneth E. Jansen, Alireza Doostan
On transfer learning of neural networks using bi-fidelity data for uncertainty propagation. CoRR (2020)
Matthew J. Reynolds, Gregory Beylkin, Alireza Doostan
Optimization via separated representations and the canonical tensor decomposition. J. Comput. Phys. 348 (2017)
Matthew J. Reynolds, Alireza Doostan, Gregory Beylkin
Randomized Alternating Least Squares for Canonical Tensor Decompositions: Application to A PDE With Random Data. SIAM J. Sci. Comput. 38 (5) (2016)