Image classification using local tensor singular value decompositions. - Elizabeth Newman; Misha E. Kilmer; Lior Horesh (CAMSAP, 2017)

Stable Tensor Neural Networks for Rapid Deep Learning. - Elizabeth Newman; Lior Horesh; Haim Avron; Misha E. Kilmer (CoRR, 2018)

Non-negative Tensor Patch Dictionary Approaches for Image Compression and Deblurring Applications. - Elizabeth Newman; Misha E. Kilmer (CoRR, 2019)

Tensor-Tensor Products for Optimal Representation and Compression. - Misha E. Kilmer; Lior Horesh; Haim Avron; Elizabeth Newman (CoRR, 2020)

Nonnegative Tensor Patch Dictionary Approaches for Image Compression and Deblurring Applications. - Elizabeth Newman; Misha E. Kilmer (SIAM J. Imaging Sci., 2020)

Train Like a (Var)Pro: Efficient Training of Neural Networks with Variable Projection. - Elizabeth Newman; Lars Ruthotto; Joseph L. Hart; Bart G. van Bloemen Waanders (SIAM J. Math. Data Sci., 2021)

'hessQuik': Fast Hessian computation of composite functions. - Elizabeth Newman; Lars Ruthotto (J. Open Source Softw., 2022)

slimTrain - A Stochastic Approximation Method for Training Separable Deep Neural Networks. - Elizabeth Newman; Julianne Chung; Matthias Chung; Lars Ruthotto (SIAM J. Sci. Comput., 2022)

Image reconstructions using sparse dictionary representations and implicit, non-negative mappings. - Elizabeth Newman; Jack Michael Solomon; Matthias Chung (CoRR, 2023)

Projected Tensor-Tensor Products for Efficient Computation of Optimal Multiway Data Representations. - Katherine Keegan; Elizabeth Newman (CoRR, 2024)

Stable tensor neural networks for efficient deep learning. - Elizabeth Newman; Lior Horesh; Haim Avron; Misha E. Kilmer (Frontiers Big Data, 2024)

Optimal Matrix-Mimetic Tensor Algebras via Variable Projection. - Elizabeth Newman; Katherine Keegan (SIAM J. Matrix Anal. Appl., 2025)

Tensor-Tensor Products, Group Representations, and Semidefinite Programming. - Alex Dunbar; Elizabeth Newman (CoRR, 2025)