Elizabeth Newman

Orcid: 0000-0002-6309-7706

According to our database1, Elizabeth Newman authored at least 13 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Tensor-Tensor Products, Group Representations, and Semidefinite Programming.
CoRR, July, 2025

Optimal Matrix-Mimetic Tensor Algebras via Variable Projection.
SIAM J. Matrix Anal. Appl., 2025

2024
Stable tensor neural networks for efficient deep learning.
Frontiers Big Data, 2024

Projected Tensor-Tensor Products for Efficient Computation of Optimal Multiway Data Representations.
CoRR, 2024

2023
Image reconstructions using sparse dictionary representations and implicit, non-negative mappings.
CoRR, 2023

2022
slimTrain - A Stochastic Approximation Method for Training Separable Deep Neural Networks.
SIAM J. Sci. Comput., August, 2022

'hessQuik': Fast Hessian computation of composite functions.
J. Open Source Softw., 2022

2021
Train Like a (Var)Pro: Efficient Training of Neural Networks with Variable Projection.
SIAM J. Math. Data Sci., 2021

2020
Nonnegative Tensor Patch Dictionary Approaches for Image Compression and Deblurring Applications.
SIAM J. Imaging Sci., 2020

Tensor-Tensor Products for Optimal Representation and Compression.
CoRR, 2020

2019
Non-negative Tensor Patch Dictionary Approaches for Image Compression and Deblurring Applications.
CoRR, 2019

2018
Stable Tensor Neural Networks for Rapid Deep Learning.
CoRR, 2018

2017
Image classification using local tensor singular value decompositions.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017


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