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

Elizabeth Newman, Jack Michael Solomon, Matthias Chung

2023

Stable tensor neural networks for rapid deep learning

Elizabeth Newman, Lior Horesh, Haim Avron, Misha Kilmer

2018

slimTrain---A Stochastic Approximation Method for Training Separable Deep Neural Networks

Elizabeth Newman, Julianne Chung, Matthias Chung, Lars Ruthotto

SIAM Journal on Scientific Computing, vol. 44(4), 2022, pp. A2322-A2348

hessQuik: Fast Hessian computation of composite functions

Elizabeth Newman, Lars Ruthotto

Journal of Open Source Software, vol. 7, The Open Journal, 2022, p. 4171

Tensor-tensor algebra for optimal representation and compression of multiway data

Misha E. Kilmer, Lior Horesh, Haim Avron, Elizabeth Newman

Proceedings of the National Academy of Sciences of the United States of America, vol. 118(28), 2021

Train Like a (Var)Pro: Efficient Training of Neural Networks with Variable Projection

Elizabeth Newman, Lars Ruthotto, Joseph Hart, Bart van Bloemen Waanders

SIAM Journal on Mathematics of Data Science, vol. 3(4), 2021

Nonnegative tensor patch dictionary approaches for image compression and deblurring applications

Elizabeth Newman, Misha E. Kilmer

SIAM Journal on Imaging Sciences, vol. 13(3), 2020, pp. 1084--1112

Image classification using local tensor singular value decompositions

Elizabeth Newman, Misha Kilmer, Lior Horesh

2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017, 2017-December, 2018

A Step in the Right Dimension: Tensor Algebra and Applications

Elizabeth Newman

Tufts University, 2019 May

Fast & Fair: Efficient Second-Order Robust Optimization for Fairness in Machine Learning

Allen Minch, Hung Anh Vu, Anne Marie Warren

2024

A Tensor SVD-based Classification Algorithm Applied to fMRI Data

Katherine Keegan, Tanvi Vishwanath, Yihua Xu

SIAM Undergraduate Research Online, vol. 15, 2022, pp. 270-294