Elizabeth Newman

'hessQuik': Fast Hessian computation of composite functions

Lars Ruthotto, Elizabeth Newman, 2022, J. Open Source Softw..

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

H. Avron, M. Kilmer, L. Horesh, 2021, Proceedings of the National Academy of Sciences.

Stable Tensor Neural Networks for Rapid Deep Learning pdf

Misha Elena Kilmer, Lior Horesh, Haim Avron, 2018, ArXiv.

Image classification using local tensor singular value decompositions

Misha Elena Kilmer, Lior Horesh, Elizabeth Newman, 2017, 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Tensor-Tensor Products for Optimal Representation and Compression pdf

Lior Horesh, Haim Avron, Elizabeth Newman, 2019, ArXiv.

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

Elizabeth Newman, Misha E. Kilmer, M. Kilmer, 2019, SIAM J. Imaging Sci..

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

Julianne Chung, Lars Ruthotto, Matthias Chung, 2021, SIAM J. Sci. Comput..

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

Lars Ruthotto, Joseph Hart, Bart van Bloemen Waanders, 2020, SIAM J. Math. Data Sci..

Stable tensor neural networks for efficient deep learning

H. Avron, M. Kilmer, L. Horesh, 2024, Frontiers Big Data.