Tensor-tensor algebra for optimal representation and compression of multiway data ME Kilmer, L Horesh, H Avron, E Newman Proceedings of the National Academy of Sciences 118 (28), e2015851118, 2021 | 65 | 2021 |
Stable tensor neural networks for rapid deep learning E Newman, L Horesh, H Avron, M Kilmer arXiv preprint arXiv:1811.06569, 2018 | 44 | 2018 |
Image classification using local tensor singular value decompositions E Newman, M Kilmer, L Horesh 2017 IEEE 7th international workshop on computational advances in multi …, 2017 | 21 | 2017 |
Train like a (var) pro: Efficient training of neural networks with variable projection E Newman, L Ruthotto, J Hart, B van Bloemen Waanders SIAM Journal on Mathematics of Data Science 3 (4), 1041-1066, 2021 | 20 | 2021 |
Nonnegative tensor patch dictionary approaches for image compression and deblurring applications E Newman, ME Kilmer SIAM Journal on Imaging Sciences 13 (3), 1084-1112, 2020 | 12 | 2020 |
Tensor-tensor products for optimal representation and compression M Kilmer, L Horesh, H Avron, E Newman arXiv preprint arXiv:2001.00046, 2019 | 11 | 2019 |
Generating and managing deep tensor neural networks L Horesh, E Newman, ME Kilmer, H Avron US Patent 11,531,902, 2022 | 10 | 2022 |
slimTrain---A Stochastic Approximation Method for Training Separable Deep Neural Networks E Newman, J Chung, M Chung, L Ruthotto SIAM Journal on Scientific Computing 44 (4), A2322-A2348, 2022 | 8 | 2022 |
A step in the right dimension: Tensor algebra and applications E Newman Tufts University, 2019 | 6 | 2019 |
Efficient training of neural networks via variable projection E Newman, J Hart, B van Bloemen Waanders, L Ruthotto XXI Householder Symposium on Numerical Linear Algebra, 295, 2020 | 3 | 2020 |
hessQuik: Fast Hessian computation of compositefunctions E Newman, L Ruthotto Journal of Open Source Software 7 (72), 2022 | 1 | 2022 |
Generating and managing deep tensor neural networks L Horesh, E Newman, ME Kilmer, H Avron US Patent 11,948,093, 2024 | | 2024 |
Image reconstructions using sparse dictionary representations and implicit, non-negative mappings E Newman, JM Solomon, M Chung arXiv preprint arXiv:2312.03180, 2023 | | 2023 |
Optimal multi-dimensional data compression by tensor-tensor decompositions tensor L Horesh, ME Kilmer, H Avron, E Newman US Patent 10,771,088, 2020 | | 2020 |
Don’t Matricize, Tensorize: Tensor-tensor Products for Optimal Representation and Compression ME Kilmer, L Horesh, H Avron, E Newman XXI Householder Symposium on Numerical Linear Algebra, 229, 2020 | | 2020 |
Efficient Training of Neural Network Surrogate Methods with Variable Projection. E Newman, L Ruthotto, JL Hart, BG van Bloemen Waanders Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020 | | 2020 |
Stable Tensor Neural Networks for Efficient Deep Learning E Newman, L Horesh, H Avron, M Kilmer Frontiers in Big Data 7, 1363978, 0 | | |
Efficient Training of Deep Neural Networks with Gauss-Newton L Ruthotto, E Newman, D Verma, SW Fung 2024 Joint Mathematics Meetings (JMM 2024), 0 | | |
A Matrix-Mimetic Tensor Algebra for Optimal Representations of Multiway Data M Kilmer, L Horesh, H Avron, E Newman 2023 Joint Mathematics Meetings (JMM 2023), 0 | | |