| 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 | 87 | 2021 |
| Stable tensor neural networks for rapid deep learning E Newman, L Horesh, H Avron, M Kilmer arXiv preprint arXiv:1811.06569, 2018 | 48 | 2018 |
| 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 | 24 | 2021 |
| 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 | 23 | 2017 |
| 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 | 18 | 2020 |
| Tensor-tensor products for optimal representation and compression M Kilmer, L Horesh, H Avron, E Newman arXiv preprint arXiv:2001.00046, 2019 | 14 | 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 | 9 | 2022 |
| A step in the right dimension: Tensor algebra and applications E Newman Tufts University, 2019 | 7 | 2019 |
| A tensor SVD-based classification algorithm applied to fMRI data K Keegan, T Vishwanath, Y Xu arXiv preprint arXiv:2111.00587, 2021 | 6 | 2021 |
| Image reconstructions using sparse dictionary representations and implicit, non-negative mappings E Newman, JM Solomon, M Chung arXiv preprint arXiv:2312.03180, 2023 | 5 | 2023 |
| 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 | 2 | 2022 |
| Stable tensor neural networks for efficient deep learning E Newman, L Horesh, H Avron, ME Kilmer Frontiers in Big Data 7, 1363978, 2024 | 1 | 2024 |
| Generating and managing deep tensor neural networks L Horesh, E Newman, ME Kilmer, H Avron US Patent 11,948,093, 2024 | 1 | 2024 |
| Optimal multi-dimensional data compression by tensor-tensor decompositions tensor L Horesh, ME Kilmer, H Avron, E Newman US Patent 10,771,088, 2020 | 1 | 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 | 1 | 2020 |
| Projected Tensor-Tensor Products for Efficient Computation of Optimal Multiway Data Representations K Keegan, E Newman arXiv preprint arXiv:2409.19402, 2024 | | 2024 |
| Optimal Matrix-Mimetic Tensor Algebras via Variable Projection E Newman, K Keegan arXiv preprint arXiv:2406.06942, 2024 | | 2024 |
| AI/ML-derived mechanistically interpretable whole-genome biomarkers of patient survival in pre-treatment primary neuroblastoma tumors and whole blood. O Alter, E Newman, SP Ponnapalli, JW Tsai Journal of Clinical Oncology 42 (16_suppl), 10043-10043, 2024 | | 2024 |
