Elizabeth Newman

According to our database, Elizabeth Newman authored at least 9 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

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

Elizabeth Newman, Jack Michael Solomon, Matthias Chung

CoRR, 2023

2022

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

Elizabeth Newman, Julianne Chung, Matthias Chung, Lars Ruthotto

SIAM J. Sci. Comput., August, 2022

'hessQuik': Fast Hessian computation of composite functions.

Elizabeth Newman, Lars Ruthotto

J. Open Source Softw., 2022

2021

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

2020

Nonnegative Tensor Patch Dictionary Approaches for Image Compression and Deblurring Applications.

Elizabeth Newman, Misha E. Kilmer

SIAM J. Imaging Sci., 2020

Tensor-Tensor Products for Optimal Representation and Compression.

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

CoRR, 2020

2019

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

Elizabeth Newman, Misha E. Kilmer

CoRR, 2019

2018

Stable Tensor Neural Networks for Rapid Deep Learning.

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

CoRR, 2018

2017

Image classification using local tensor singular value decompositions.

Elizabeth Newman, Misha E. Kilmer, Lior Horesh

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017